On the construction of a random number generator and random function generators
Lecture Notes in Computer Science on Advances in Cryptology-EUROCRYPT'88
Pseudorandom Bit Generators in Stream-Cipher Cryptography
Computer - Special issue on cryptography
Authentication services in distributed systems
Computers and Security
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
On the generation of cryptographically strong pseudorandom sequences
ACM Transactions on Computer Systems (TOCS)
Artificial Neural Networks: Theory and Applications
Artificial Neural Networks: Theory and Applications
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Random components play an especially important role in secure electronic commerce and multimedia communications. For this reason, the existence of strong pseudo random number generators is highly required. This paper presents novel techniques, which rely on artificial neural network architectures, to strengthen traditional generators such as ANSI X.9 based on DES and IDEA. Additionally, this paper proposes a test method for evaluating the required non-predictability property, which also relies on neural networks. This non-predictability test method along with commonly used statistical and nonlinearity tests are suggested as methodology for the evaluation of strong pseudo random number generators. By means of this methodology, traditional and proposed generators are evaluated. The results show that the proposed generators behave significantly better than the traditional, in particular, in terms of nonpredictability.