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cryptography research and separate the real threats from the academic noise that occurs before a real threat materializes Depending on your needs, we recommend the following three algorithms as the state of the art in their respective areas of use: AES RSA SHA-2 The Advanced Encryption Standard (AES) algorithm should be used to store and communicate sensitive information AES is a symmetric key encryption algorithm, which means the same key is needed to both encrypt and decrypt data Be careful how you manage your cryptographic key; if an attacker can gain access to it, your encryption will have no value As shown in the outbound password example earlier in this chapter, separate cryptographic keys from the encrypted data that they protect so that even if an attacker is able to partially compromise your program, the task of nding both the data and the corresponding encryption key will still be dif cult The RSA algorithm, named for its inventors, Rivest, Shamir, and Adleman, should be used for exchanging cryptographic keys, for generating digital signatures, and in any other application where providing both parties with a private key might be dif cult and the amount of data that needs to be communicated is limited RSA is a public key encryption algorithm, which means that a public key is used to encrypt the data and a different but necessarily related private key is used to decrypt them later The advantage of this model is that public keys can be distributed more broadly without risk of compromising the data, which cannot be decrypted without the private key Be careful Depending on the implementation, the performance of RSA (or any other public key algorithm) is likely to be hundreds or thousands of times slower than AES; thus, you should not use RSA to encrypt large amounts of data Instead, use RSA as part of a key exchange protocol for instance, use it to distribute an AES key Both the security and performance of the algorithm are tied to the key length used Longer keys yield better security and worse performance Current guidelines suggest that RSA keys should be at least 1024 bits, with 2048 bits providing a longer window of security The SHA-2 variants (SHA-224, SHA-256, SHA-384, and SHA-512) of the Secure Hash Algorithm (SHA) family should be used whenever cryptographic hash values are required The most common application of SHA-2 that we encounter is storing hashed passwords, but secure hash values can.



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implementation Notice that the implementation is fully quali ed, including its type name and assembly information (title, version, culture, and public key) In this example, the assembly name and DLL that houses the extensions is Server

also be used to compute secure checksums and as part of digital signature and message authentication systems Although SHA-2 offers better security because it produces larger hash values, the SHA-1 algorithm provides adequate security for many applications today Plan to migrate code that uses SHA-1 to SHA-2 as soon as it s feasible, but proceed to the exit in an orderly manner; as of this writing, the use of SHA-1 need not constitute a crisis





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The alternative is to not transport Java objects over sockets: this is an incommensurable alternative You must compare like with like If you want to measure the overhead of RMI as against local method invocation in a local object, with direct access to parameters and results, please go ahead, but the results aren't comparable, or even very interesting As RMI specific overhead is independent of data volume, the larger the data volume of each transaction, the less significant RMI overhead becomes As we described earlier, RMI makes several contributions towards being more efficient than a "naive" self implemented socket based transactional system 1863 Scalability How well does RMI scale As before, we should first answer this question with another: "relative to what " In this case, the answer is usually "relative to the numbers of simultaneous clients and transactions" Secondly, what do we mean by scaling "well" or scaling "badly" Scaling "badly" means consuming resources including memory and time at a linear, quadratic, or higher rate For example, a sequential search of a database is linear: the time consumed is linearly proportional to the number of records A bubble sort is quadratic: the time consumed is proportional to the square of the number of items Conversely, "scaling well" means consuming resources including memory and time at a lower than linear rate For example, an indexed search of a database is typically logarithmic: the time consumed is proportional to log(N), the logarithm of the number of items in the database This is "good" scaling behaviour, because the logarithm of N increases much more slowly than N[11]

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Use static analysis to identify code that uses cryptographic algorithms that are not approved Write rules to identify the use of functions from cryptography libraries that implement algorithms other than AES, RSA, and SHA-2 For example, the following rule ags uses of the RC2, RC4, and RC5 algorithms from the Java Cryptography Extension (JCE):

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