Pseudo-random permutation generators and cryptographic composition
STOC '86 Proceedings of the eighteenth annual ACM symposium on Theory of computing
Lecture notes in computer sciences; 218 on Advances in cryptology---CRYPTO 85
A universal statistical test for random bit generators
Journal of Cryptology
Random oracles are practical: a paradigm for designing efficient protocols
CCS '93 Proceedings of the 1st ACM conference on Computer and communications security
Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
Handbook of Applied Cryptography
Handbook of Applied Cryptography
Modern Cryptography, Probabilistic Proofs, and Pseudorandomness
Modern Cryptography, Probabilistic Proofs, and Pseudorandomness
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Description of a New Variable-Length Key, 64-bit Block Cipher (Blowfish)
Fast Software Encryption, Cambridge Security Workshop
The random oracle methodology, revisited
Journal of the ACM (JACM)
k-th order symmetric SAC boolean functions and bisecting binomial coefficients
Discrete Applied Mathematics - Special issue: Boolean and pseudo-boolean funtions
IEEE Security and Privacy
Cryptanalysis of the tractable rational map cryptosystem
PKC'05 Proceedings of the 8th international conference on Theory and Practice in Public Key Cryptography
Identification of defect-prone classes in telecommunication software systems using design metrics
Information Sciences: an International Journal
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This paper investigates the modelling of confusion in product encryption by statistical means, to support understanding of the avalanche effect of the continuous application of an encryption step or round. To facilitate the modelling, a metric for confusion is proposed and its appropriateness and properties verified against broadly accepted theoretical assumptions. The regression analysis showed that confusion can be approximated by well-known econometrics functions.