Three Types Of Encryption

Three Types of Encryption Different software products operate with encryption in different ways. Three basic types of encryption may be considered: manual, semi-transparent and transparent. Manual encryption is completely provided by the user (via the relevant software, of course): he has to manually select the objects for encryption (usually files or folders) and then run some special command/ menu item to encrypt or decrypt these objects. Thus, manual encryption systems demand the user's active participation, and he must strictly remember to encrypt his private data before he leaves this data outside of his personal control. This is risky from a security point of view - risking human error (forgetfulness). Nevertheless, manual (file) encryption, from a technical point of view, has a potential advantage: it can operate easily and reliably - more reliably than any other type of encryption software. Transparent encryption is almost a complete contrast to Manual encryption. In this case, decryption/ encryption is performed at a low level, permanently, during ALL read/write operations, so that encrypted data of any type (including executable programs) is always stored on the disk in encrypted form. The theft or loss of a notebook/ disk/ floppy disk, a sudden power/ software/ hardware failure/ breakdown does not threaten loss of data - it is always stored on the transparently encrypted volumes in encrypted form. From the point of general security principles, complete low-level transparent encryption is the most secure type imaginable, being easiest - imperceptible - for the user to manage, but it has a couple of disadvantages: it can't be "mobile" - i.e. can not transport encrypted data from computer to computer, (except via encrypted diskettes); it is very difficult to implement (engineer) correctly; and it generally doesn't fit into system architectures based on multiuser sharing of resources, as in networks. Nevertheless, when properly engineered, it is unbeatable for the protection of data on local work stations and stand-alone or mobile (laptop) machines. Semi-Transparent, or "On-the-fly", encryption operates not permanently, but before/after access is made to confidential objects or during some read/write operations. The most widespread example is ciphering during Copy/Move to a "secret" volume/folder; deciphering a file before opening it via standard Windows applications (Word, Excel, etc) and enciphering it after the application is finished; and deciphering specified folders/files at startup of the computer and enciphering them again at shutdown. Semi-Transparent encryption graduates from manual/file encryption. The typical great weakness of many of these encryption products is that they can cause degradation of the computer systems efficiency and a sudden/ emergency loss of data when the amounts to be encrypted are too great. The problem of developers is to find an optimal trade off between simplicity, security, effectiveness and reliability, and most developers get into a mess here. By the way, the semi-transparent features of F-Cryprite are based not on any doubtful programming tricks, but on the encryption speed of the SVC algorithm (which is essentially higher than any "open" operation in Windows): thus F-Cryprite's efficiency is absolutely uninfluenced by the total amount of data to be encrypted!

D-Cryprite produces completely Transparent encryption. F-Cryprite and C-Subway operate between Manual and Semi-transparent encryption (i.e. have features of both).

Introduction Often there has been a need to protect information from 'prying eyes'. In the electronic age, information that could otherwise benefit or educate a group or individual can also be used against such groups or individuals. Industrial espionage among highly competitive businesses often requires that extensive security measures be put into place. And, those who wish to exercise their personal freedom, outside of the oppressive nature of governments, may also wish to encrypt certain information to avoid suffering the penalties of going against the wishes of those who attempt to control. Still, the methods of data encryption and decryption are relatively straightforward, and easily mastered. I have been doing data encryption since my college days, when I used an encryption algorithm to store game programs and system information files on the university mini-computer, safe from 'prying eyes'. These were files that raised eyebrows amongst those who did not approve of such things, but were harmless [we were always careful NOT to run our games while people were trying to get work done on the machine]. I was occasionally asked what this "rather large file" contained, and I once demonstrated the program that accessed it, but you needed a password to get to 'certain files' nonetheless. And, some files needed a separate encryption program to decipher them. Fortunately, my efforts back then have paid off now, in the business world. I became rather good at keeping information away from 'prying eyes', by making it very difficult to decipher. Our S.F.T. Setup Gizmo application has an encrypted 'authorization code' scheme, allowing companies to evaluate a fully-featured version of the actual software before purchasing it, and (when licensed) a similar scheme authorizes a maximum number of users based on the license purchased by the customer. Each of these features requires some type of encrypted data to ensure that the 'lockout' works correctly, and cannot be bypassed, protecting both our interests and preserving the 'full-featured demo' capability for our customers.

Methods of Encrypting Data Traditionally, several methods can be used to encrypt data streams, all of which can easily be implemented through software, but not so easily decrypted when either the original or its encrypted data stream are unavailable. (When both source and encrypted data are available, code-breaking becomes much simpler, though it is not necessarily easy). The best encryption methods have little effect on system performance, and may contain other benefits (such as data compression) built in. The well-known 'PKZIP®' utility offers both compression AND data encryption in this manner. Also DBMS packages have often included some kind of encryption scheme so that a standard 'file copy' cannot be used to read sensitive information that might otherwise require some kind of password to access. They also need 'high performance' methods to encode and decode the data. Fortunately, the simplest of all of the methods, the 'translation table', meets this need very well. Each 'chunk' of data (usually 1 byte) is used as an offset within a 'translation table',

and the resulting 'translated' value from within the table is then written into the output stream. The encryption and decryption programs would each use a table that translates to and from the encrypted data. In fact, the 80x86 CPU's even have an instruction 'XLAT' that lends itself to this purpose at the hardware level. While this method is very simple and fast, the down side is that once the translation table is known, the code is broken. Further, such a method is relatively straightforward for code breakers to decipher - such code methods have been used for years, even before the advent of the computer. Still, for general "unreadability" of encoded data, without adverse effects on performance, the 'translation table' method lends itself well. A modification to the 'translation table' uses 2 or more tables, based on the position of the bytes within the data stream, or on the data stream itself. Decoding becomes more complex, since you have to reverse the same process reliably. But, by the use of more than one translation table, especially when implemented in a 'pseudo-random' order, this adaptation makes code breaking relatively difficult. An example of this method might use translation table 'A' on all of the 'even' bytes, and translation table 'B' on all of the 'odd' bytes. Unless a potential code breaker knows that there are exactly 2 tables, even with both source and encrypted data available the deciphering process is relatively difficult. Similar to using a translation table, 'data repositioning' lends itself to use by a computer, but takes considerably more time to accomplish. A buffer of data is read from the input, then the order of the bytes (or other 'chunk' size) is rearranged, and written 'out of order'. The decryption program then reads this back in, and puts them back 'in order'. Often such a method is best used in combination with one or more of the other encryption methods mentioned here, making it even more difficult for code breakers to determine how to decipher your encrypted data. As an example, consider an anagram. The letters are all there, but the order has been changed. Some anagrams are easier than others to decipher, but a well written anagram is a brain teaser nonetheless, especially if it's intentionally misleading. My favorite methods, however, involve something that only computers can do: word/byte rotation and XOR bit masking. If you rotate the words or bytes within a data stream, using multiple and variable direction and duration of rotation, in an easily reproducable pattern, you can quickly encode a stream of data with a method that is nearly impossible to break. Further, if you use an 'XOR mask' in combination with this ('flipping' the bits in certain positions from 1 to 0, or 0 to 1) you end up making the code breaking process even more difficult. The best combination would also use 'pseudo random' effects, the easiest of which would involve a simple sequence like Fibbonaci numbers. The sequence '1,1,2,3,5,...' is easily generated by adding the previous 2 numbers in the sequence to get the next. Doing modular arithmetic on the result (i.e. Fib. sequence mod 3 to get rotation factor) and operating on multiple byte sequences (using a prime number of bytes for rotation is usually a good guideline) will make the code breaker's job even more difficult, adding the 'pseudo-random' effect that is easily reproduced by your decryption program. In some cases, you may want to detect whether data has been tampered with, and encrypt some kind of 'checksum' into the data stream itself. This is useful not only for

authorization codes but for programs themselves. A virus that infects such a 'protected' program would no doubt neglect the encryption algorithm and authorization/checksum signature. The program could then check itself each time it loads, and thus detect the presence of file corruption. Naturally, such a method would have to be kept VERY secret, as virus programmers represent the worst of the code breakers: those who willfully use information to do damage to others. As such, the use of encryption is mandatory for any decent anti-virus protection scheme. A cyclic redundancy check is one typically used checksum method. It uses bit rotation and an XOR mask to generate a 16-bit or 32-bit value for a data stream, such that one missing bit or 2 interchanged bits are more or less guaranteed to cause a 'checksum error'. This method has been used for file transfers for a long time, such as with XMODEMCRC. The method is somewhat well documented, and standard. But, a deviation from the standard CRC method might be useful for the purpose of detecting a problem in an encrypted data stream, or within a program file that checks itself for viruses.

Key-Based Encryption Algorithms One very important feature of a good encryption scheme is the ability to specify a 'key' or 'password' of some kind, and have the encryption method alter itself such that each 'key' or 'password' produces a different encrypted output, which requires a unique 'key' or 'password' to decrypt. This can either be a 'symmetrical' key (both encrypt and decrypt use the same key) or 'asymmetrical' (encrypt and decrypt keys are different). The popular 'PGP' public key encryption, and the 'RSA' encryption that it's based on, uses an 'asymmetrical' key. The encryption key, the 'public key', is significantly different from the decryption key, the 'private key', such that attempting to derive the private key from the public key involves many many hours of computing time, making it impractical at best. There are few operations in mathematics that are truly 'irreversible'. In nearly all cases, if an operation is performed on 'a', resulting in 'b', you can perform an equivalent operation on 'b' to get 'a'. In some cases you may get the absolute value (such as a square root), or the operation may be undefined (such as dividing by zero). However, in the case of 'undefined' operations, it may be possible to base a key on an algorithm such that an operation like division by zero would PREVENT a public key from being translated into a private key. As such, only 'trial and error' would remain, which would require a significant amount of processing time to create the private key from the public key. In the case of the RSA encryption algorithm, it uses very large prime numbers to generate the public key and the private key. Although it would be possible to factor out the public key to get the private key (a trivial matter once the 2 prime factors are known), the numbers are so large as to make it very impractical to do so. The encryption algorithm itself is ALSO very slow, which makes it impractical to use RSA to encrypt large data sets. What PGP does (and most other RSA-based encryption schemes do) is encrypt a symmetrical key using the public key, then the remainder of the data is encrypted with a faster algorithm using the symmetrical key. The symmetrical itself key is randomly

generated, so that the only way to get it would be by using the private key to decrypt the RSA-encrypted symmetrical key. Example: Suppose you want to encrypt data (let's say this web page) with a key of 12345. Using your public key, you RSA-encrypt the 12345, and put that at the front of the data stream (possibly followed by a marker or preceded by a data length to distinguish it from the rest of the data). THEN, you follow the 'encrypted key' data with the encrypted web page text, encrypted using your favorite method and the key '12345'. Upon receipt, the decrypt program looks for (and finds) the encrypted key, uses the 'private key' to decrypt it, and gets back the '12345'. It then locates the beginning of the encrypted data stream, and applies the key '12345' to decrypt the data. The result: a very well protected data stream that is reliably and efficiently encrypted, transmitted, and decrypted. Source files for a simple RSA-based encryption algorithm can be found HERE: ftp://ftp.funet.fi/pub/crypt/cryptography/asymmetric/rsa It is somewhat difficult to write a front-end to get this code to work (I have done so myself), but for the sake of illustration, the method actually DOES work and by studying the code you can understand the processes involved in RSA encryption. RSA, incidentally, is reportedly patented through the year 2000, and may be extended beyond that, so commercial use of RSA requires royalty payments to the patent holder (www.rsa.com). But studying the methods and experimenting with it is free, and with source code being published in print (PGP) and outside the U.S., it's a good way to learn how it works, and maybe to help you write a better algorithm yourself.

A brand new 'multi-phase' method (invented by ME) I have (somewhat) recently developed and tested an encryption method that is (in my opinion) nearly uncrackable. The reasons why will be pretty obvious when you take a look at the method itself. I shall explain it in prose, primarily to avoid any chance of prosecution by those 'GUMMINT' authorities who think that they oughta be able to snoop on anyone they wish, having a 'back door' to any encryption scheme, etc. etc. etc.. Well, if I make the METHOD public, they should have the same chance as ANYONE ELSE for decrypting things that use this method. (Subsequent note: according to THIS web site, it could be described as an asynchronous stream cipher with a symmetrical key) So, here goes (description of method first made public on June 1, 1998): •

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Using a set of numbers (let's say a 128-bit key, or 256-bit key if you use 64-bit integers), generate a repeatable but highly randomized pseudo-random number sequence (see below for an example of a pseudo-random number generator). 256 entries at a time, use the random number sequence to generate arrays of "cipher translation tables" as follows: o fill an array of integers with 256 random numbers (see below)

sort the numbers using a method (like pointers) that lets you know the original position of the corresponding number o using the original positions of the now-sorted integers, generate a table of randomly sorted numbers between 0 and 255. If you can't figure out how to make this work, you could give up now... but on a kinder note, I've supplied some source below to show how this might be done - generically, of course. Now, generate a specific number of 256-byte tables. Let the random number generator continue "in sequence" for all of these tables, so that each table is different. Next, use a "shotgun technique" to generate "de-crypt" cipher tables. Basically, if a maps to b, then b must map to a. So, b[a[n]] = n. get it? ('n' is a value between 0 and 255). Assign these values in a loop, with a set of 256-byte 'decrypt' tables that correspond to the 256-byte 'encrypt' tables you generated in the preceding step. o

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NOTE: I first tried this on a P5 133Mhz machine, and it took 1 second to generate the 2 256x256 tables (128kb total). With this method, I inserted additional randomized 'table order', so that the order in which I created the 256-byte tables were part of a 2nd pseudo-random sequence, fed by 2 additional 16-bit keys. •

Now that you have the translation tables, the basic cipher works like this: the previous byte's encrypted value is the index of the 256-byte translation table. Alternately, for improved encryption, you can use more than one byte, and either use a 'checksum' or a CRC algorithm to generate the index byte. You can then 'mod' it with the # of tables if you use less than 256 256-byte tables. Assuming the table is a 256x256 array, it would look like this: crypto1 = a[crypto0][value]

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where 'crypto1' is the encrypted byte, and 'crypto0' is the previous byte's encrypted value (or a function of several previous values). Naturally, the 1st byte will need a "seed", which must be known. This may increase the total cipher size by an additional 8 bits if you use 256x256 tables. Or, you can use the key you generated the random list with, perhaps taking the CRC of it, or using it as a "lead in" encrypted byte stream. Incidentally, I have tested this method using 16 'preceding' bytes to generate the table index, starting with the 128-bit key as the initial seed of '16 previous bytes'. I was then able to encrypt about 100kbytes per second with this algorithm, after the initial time delay in creating the table. On the decrypt, you do the same thing. Just make sure you use 'encrypted' values as your table index both times. Or, use 'decrypted' values if you'd rather. They must, of course, match.

The pseudo-random sequence can be designed by YOU to be ANYTHING that YOU want. Without details on the sequence, the cipher key itself is worthless. PLUS, a block of 'e' ascii characters will translate into random garbage, each byte depending upon the

encrypted value of the preceding byte (which is why I use the ENCRYPTED value, not the actual value, as the table index). You'll get a random set of permutations for any single character, permuations that are of random length, that effectively hide the true size of the cipher. However, if you're at a loss for a random sequence consider a FIBBONACCI sequence, using 2 DWORD's (like from your encryption key) as "seed" numbers, and possibly a 3rd DWORD as an 'XOR' mask. An algorithm for generating a random sequence of numbers, not necessarily connected with

This article is about an algorithm for public-key encryption. For the U.S. encryption and network security company, see RSA Security. For the Republic of South Africa, see South Africa. For other uses, see RSA (disambiguation). In cryptography, RSA is an algorithm for public-key cryptography. It is the first algorithm known to be suitable for signing as well as encryption, and one of the first great advances in public key cryptography. RSA is widely used in electronic commerce protocols, and is believed to be secure given sufficiently long keys and the use of up-todate implementations.

Contents [hide]

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1 History 2 Operation o 2.1 Key generation o 2.2 Encryption o 2.3 Decryption o 2.4 A working example o 2.5 Padding schemes o 2.6 Signing messages 3 Security and practical considerations o 3.1 Integer factorization and RSA problem o 3.2 Key generation o 3.3 Speed o 3.4 Key distribution o 3.5 Timing attacks o 3.6 Adaptive chosen ciphertext attacks o 3.7 Branch prediction analysis attacks 4 See also 5 Notes 6 References

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7 External links

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History

The algorithm was publicly described in 1977 by Ron Rivest, Adi Shamir, and Leonard Adleman at MIT; the letters RSA are the initials of their surnames, listed in the same order as on the paper.[1] Clifford Cocks, a British mathematician working for the UK intelligence agency GCHQ, described an equivalent system in an internal document in 1973, but given the relatively expensive computers needed to implement it at the time, it was mostly considered a curiosity and, as far as is publicly known, was never deployed. His discovery, however, was not revealed until 1997 due to its top-secret classification, and Rivest, Shamir, and Adleman devised RSA independently of Cocks' work. MIT was granted U.S. Patent 4,405,829 for a "Cryptographic communications system and method" that used the algorithm in 1983. The patent would have expired in 2003, but was released to the public domain by RSA Security on 21 September 2000. Since a paper describing the algorithm had been published in August 1977,[1] prior to the December 1977 filing date of the patent application, regulations in much of the rest of the world precluded patents elsewhere and only the US patent was granted. Had Cocks' work been publicly known, a patent in the US might not have been possible either.

Operation The RSA algorithm involves three steps: key generation, encryption and decryption.

Key generation RSA involves a public key and a private key. The public key can be known to everyone and is used for encrypting messages. Messages encrypted with the public key can only be decrypted using the private key. The keys for the RSA algorithm are generated the following way: 1. Choose two distinct prime numbers p and q 2. Compute n = pq o n is used as the modulus for both the public and private keys 3. Compute the totient: . 4. Choose an integer e such that , and e and share no factors other than 1 (i.e. e and are coprime) o e is released as the public key exponent 5. Determine d (using modular arithmetic) which satisfies the congruence relation o o o

; Stated differently, ed − 1 can be evenly divided by the totient (p − 1)(q − 1) This is often computed using the Extended Euclidean Algorithm d is kept as the private key exponent

Notes on the above steps: •

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Step 1: For security purposes, the integers p and q should be chosen uniformly at random and should be of similar bit-length. Prime integers can be efficiently found using a Primality test. Step 3: PKCS#1 v2.0 and PKCS#1 v2.1 specifies using , where lcm is the least common multiple instead of . Step 4: Choosing e with a small hamming weight results in more efficient encryption. Small public exponents (such as e=3) could potentially lead to greater security risks.[2]

The public key consists of the modulus n and the public (or encryption) exponent e. The private key consists of the modulus n and the private (or decryption) exponent d which must be kept secret. •

For efficiency the following values may be precomputed and stored as part of the private key: o p and q: the primes from the key generation, and

o o

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Encryption Alice transmits her public key (n,e) to Bob and keeps the private key secret. Bob then wishes to send message M to Alice. He first turns M into an integer 0 < m < n by using an agreed-upon reversible protocol known as a padding scheme. He then computes the ciphertext c corresponding to:

This can be done quickly using the method of exponentiation by squaring. Bob then transmits c to Alice.

Decryption Alice can recover m from c by using her private key exponent d by the following computation:

Given m, she can recover the original message M by reversing the padding scheme.

The above decryption procedure works because: . Now, since

, .

The last congruence directly follows from Euler's theorem when m is relatively prime to n. By using the Chinese remainder theorem it can be shown that the equations holds for all m. This shows that we get the original message back:

[edit] A working example Here is an example of RSA encryption and decryption. The parameters used here are artificially small, but one can also use OpenSSL to generate and examine a real keypair. 1. Choose two prime numbers p = 61 and q = 53 2. Compute n = pq

3. Compute the totient

4. Choose e > 1 coprime to 3120 e = 17 5. Compute d such that multiplicative inverse of e modulo d = 2753 since 17 · 2753 = 46801 = 1 + 15 · 3120.

e.g., by computing the modular :

The public key is (n = 3233, e = 17). For a padded message m the encryption function is:

The private key is (n = 3233, d = 2753). The decryption function is:

For example, to encrypt m = 123, we calculate

To decrypt c = 855, we calculate . Both of these calculations can be computed efficiently using the square-and-multiply algorithm for modular exponentiation. In real life situations the primes selected would be much larger, however in our example it would be relatively trivial to factor n, 3233, obtained from the freely available public key back to the primes p and q. Given e, also from the public key, we could then compute d and so acquire the private key.

[edit] Padding schemes When used in practice, RSA is generally combined with some padding scheme. The goal of the padding scheme is to prevent a number of attacks that potentially work against RSA without padding: •

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When encrypting with low encryption exponents (e.g., e = 3) and small values of the m, (i.e. m < n1 / e) the result of me is strictly less than the modulus n. In this case, ciphertexts can be easily decrypted by taking the eth root of the ciphertext over the integers. If the same clear text message is sent to e or more recipients in an encrypted way, and the receivers share the same exponent e, but different p, q, and n, then it is easy to decrypt the original clear text message via the Chinese remainder theorem. Johan Håstad noticed that this attack is possible even if the cleartexts are not equal, but the attacker knows a linear relation between them.[3] This attack was later improved by Don Coppersmith.[4] Because RSA encryption is a deterministic encryption algorithm – i.e., has no random component – an attacker can successfully launch a chosen plaintext attack against the cryptosystem, by encrypting likely plaintexts under the public key and test if they are equal to the ciphertext. A cryptosystem is called semantically secure if an attacker cannot distinguish two encryptions from each other even if

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the attacker knows (or has chosen) the corresponding plaintexts. As described above, RSA without padding is not semantically secure. RSA has the property that the product of two ciphertexts is equal to the encryption of the product of the respective plaintexts. That is Because of this multiplicative property a chosen-ciphertext attack is possible. E.g. an attacker, who wants to know the decryption of a ciphertext c = memod n may ask the holder of the private key to decrypt an unsuspicious-looking ciphertext c' = cremod n for some value r chosen by the attacker. Because of the multiplicative property c' is the encryption of mrmod n. Hence, if the attacker is successful with the attack, he will learn mrmod n from which he can derive the message m by multiplying mr with the modular inverse of r modulo n.

To avoid these problems, practical RSA implementations typically embed some form of structured, randomized padding into the value m before encrypting it. This padding ensures that m does not fall into the range of insecure plaintexts, and that a given message, once padded, will encrypt to one of a large number of different possible ciphertexts. Standards such as PKCS#1 have been carefully designed to securely pad messages prior to RSA encryption. Because these schemes pad the plaintext m with some number of additional bits, the size of the un-padded message M must be somewhat smaller. RSA padding schemes must be carefully designed so as to prevent sophisticated attacks which may be facilitated by a predictable message structure. Early versions of the PKCS#1 standard (up to version 1.5) used a construction that turned RSA into a semantically secure encryption scheme. This version was later found vulnerable to a practical adaptive chosen ciphertext attack. Later versions of the standard include Optimal Asymmetric Encryption Padding (OAEP), which prevents these attacks. The PKCS#1 standard also incorporates processing schemes designed to provide additional security for RSA signatures, e.g., the Probabilistic Signature Scheme for RSA (RSA-PSS).

[edit] Signing messages Suppose Alice uses Bob's public key to send him an encrypted message. In the message, she can claim to be Alice but Bob has no way of verifying that the message was actually from Alice since anyone can use Bob's public key to send him encrypted messages. So, in order to verify the origin of a message, RSA can also be used to sign a message. Suppose Alice wishes to send a signed message to Bob. She can use her own private key to do so. She produces a hash value of the message, raises it to the power of dmod n (as she does when decrypting a message), and attaches it as a "signature" to the message. When Bob receives the signed message, he uses the same hash algorithm in conjunction with Alice's public key. He raises the signature to the power of emod n (as he does when encrypting a message), and compares the resulting hash value with the message's actual hash value. If the two agree, he knows that the author of the message was in possession of Alice's private key, and that the message has not been tampered with since.

Note that secure padding schemes such as RSA-PSS are as essential for the security of message signing as they are for message encryption, and that the same key should never be used for both encryption and signing purposes.

[edit] Security and practical considerations [edit] Integer factorization and RSA problem See also: RSA Factoring Challenge and Integer factorization records The security of the RSA cryptosystem is based on two mathematical problems: the problem of factoring large numbers and the RSA problem. Full decryption of an RSA ciphertext is thought to be infeasible on the assumption that both of these problems are hard, i.e., no efficient algorithm exists for solving them. Providing security against partial decryption may require the addition of a secure padding scheme.[citation needed] The RSA problem is defined as the task of taking eth roots modulo a composite n: recovering a value m such that c = memod n, where (n,e) is an RSA public key and c is an RSA ciphertext. Currently the most promising approach to solving the RSA problem is to factor the modulus n. With the ability to recover prime factors, an attacker can compute the secret exponent d from a public key (n,e), then decrypt c using the standard procedure. To accomplish this, an attacker factors n into p and q, and computes (p − 1)(q − 1) which allows the determination of d from e. No polynomial-time method for factoring large integers on a classical computer has yet been found, but it has not been proven that none exists. See integer factorization for a discussion of this problem. As of 2008, the largest (known) number factored by a general-purpose factoring algorithm was 663 bits long (see RSA-200), using a state-of-the-art distributed implementation. The next record is probably going to be a 768 bits modulus[5]. RSA keys are typically 1024–2048 bits long. Some experts believe that 1024-bit keys may become breakable in the near term (though this is disputed); few see any way that 4096-bit keys could be broken in the foreseeable future. Therefore, it is generally presumed that RSA is secure if n is sufficiently large. If n is 300 bits or shorter, it can be factored in a few hours on a personal computer, using software already freely available. Keys of 512 bits have been shown to be practically breakable in 1999 when RSA-155 was factored by using several hundred computers and are now factored in a few weeks using common hardware.[6] A theoretical hardware device named TWIRL and described by Shamir and Tromer in 2003 called into question the security of 1024 bit keys. It is currently recommended that n be at least 2048 bits long.[citation needed] In 1994, Peter Shor showed that a quantum computer could factor in polynomial time, breaking RSA. However, only small scale quantum computers have been realized.[citation needed]

[edit] Key generation Finding the large primes p and q is usually done by testing random numbers of the right size with probabilistic primality tests which quickly eliminate virtually all non-primes. Numbers p and q should not be 'too close', lest the Fermat factorization for n be successful, if p − q, for instance is less than 2n1 / 4 (which for even small 1024-bit values of n is 3×1077) solving for p and q is trivial. Furthermore, if either p − 1 or q − 1 has only small prime factors, n can be factored quickly by Pollard's p − 1 algorithm, and these values of p or q should therefore be discarded as well. It is important that the private key d be large enough. Michael J. Wiener showed[7] that if p is between q and 2q (which is quite typical) and d < n1 / 4 / 3, then d can be computed efficiently from n and e. There is no known attack against small public exponents such as e = 3, provided that proper padding is used. However, when no padding is used or when the padding is improperly implemented then small public exponents have a greater risk of leading to an attack, such as for example the unpadded plaintext vulnerability listed above. 65537 is a commonly used value for e. This value can be regarded as a compromise between avoiding potential small exponent attacks and still allowing efficient encryptions (or signature verification). The NIST Special Publication on Computer Security (SP 800-78 Rev 1 of August 2007) does not allow public exponents e smaller than 65537, but does not state a reason for this restriction.

[edit] Speed RSA is much slower than DES and other symmetric cryptosystems. In practice, Bob typically encrypts a secret message with a symmetric algorithm, encrypts the (comparatively short) symmetric key with RSA, and transmits both the RSA-encrypted symmetric key and the symmetrically-encrypted message to Alice. This procedure raises additional security issues. For instance, it is of utmost importance to use a strong random number generator for the symmetric key, because otherwise Eve (an eavesdropper wanting to see what was sent) could bypass RSA by guessing the symmetric key.

[edit] Key distribution As with all ciphers, how RSA public keys are distributed is important to security. Key distribution must be secured against a man-in-the-middle attack. Suppose Eve has some way to give Bob arbitrary keys and make him believe they belong to Alice. Suppose further that Eve can intercept transmissions between Alice and Bob. Eve sends Bob her own public key, which Bob believes to be Alice's. Eve can then intercept any ciphertext sent by Bob, decrypt it with her own private key, keep a copy of the message, encrypt the message with Alice's public key, and send the new ciphertext to Alice. In principle, neither Alice nor Bob would be able to detect Eve's presence. Defenses against such

attacks are often based on digital certificates or other components of a public key infrastructure.

[edit] Timing attacks Kocher described a new attack on RSA in 1995: if the attacker Eve knows Alice's hardware in sufficient detail and is able to measure the decryption times for several known ciphertexts, she can deduce the decryption key d quickly. This attack can also be applied against the RSA signature scheme. In 2003, Boneh and Brumley demonstrated a more practical attack capable of recovering RSA factorizations over a network connection (e.g., from a Secure Socket Layer (SSL)-enabled webserver). This attack takes advantage of information leaked by the Chinese remainder theorem optimization used by many RSA implementations. One way to thwart these attacks is to ensure that the decryption operation takes a constant amount of time for every ciphertext. However, this approach can significantly reduce performance. Instead, most RSA implementations use an alternate technique known as cryptographic blinding. RSA blinding makes use of the multiplicative property of RSA. Instead of computing cdmod n, Alice first chooses a secret random value r and computes (rec)dmod n. The result of this computation is rmmod n and so the effect of r can be removed by multiplying by its inverse. A new value of r is chosen for each ciphertext. With blinding applied, the decryption time is no longer correlated to the value of the input ciphertext and so the timing attack fails.

[edit] Adaptive chosen ciphertext attacks In 1998, Daniel Bleichenbacher described the first practical adaptive chosen ciphertext attack, against RSA-encrypted messages using the PKCS #1 v1 padding scheme (a padding scheme randomizes and adds structure to an RSA-encrypted message, so it is possible to determine whether a decrypted message is valid.) Due to flaws with the PKCS #1 scheme, Bleichenbacher was able to mount a practical attack against RSA implementations of the Secure Socket Layer protocol, and to recover session keys. As a result of this work, cryptographers now recommend the use of provably secure padding schemes such as Optimal Asymmetric Encryption Padding, and RSA Laboratories has released new versions of PKCS #1 that are not vulnerable to these attacks.

[edit] Branch prediction analysis attacks Branch prediction analysis is also called BPA. Many processors use a branch predictor to determine whether a conditional branch in the instruction flow of a program is likely to be taken or not. Usually these processors also implement simultaneous multithreading (SMT). Branch prediction analysis attacks use a spy process to discover (statistically) the private key when processed with these processors. Simple Branch Prediction Analysis (SBPA) claims to improve BPA in a non-statistical way. In their paper, "On the Power of Simple Branch Prediction Analysis", the authors of

SBPA (Onur Aciicmez and Cetin Kaya Koc) claim to have discovered 508 out of 512 bits of an RSA key in 10 iterations.