NDLI: A combined genetic optimization and multilayer perceptron methodology for efficient digital fingerprint modeling and evaluation in secure communications

Content Provider	IEEE Xplore Digital Library
Copyright Year	2004
Abstract	A novel procedure based on genetic algorithms and multilayer perceptron (MLP) neural networks (NN) is presented for the evaluation and production of digital fingerprints in the design of secure communication systems. These digital fingerprints are computed using the methodology of un-keyed one-way functions (hash functions). The problem of evaluating the quality of such functions is formulated as a global optimization one in the space spanned by all possible messages and is approached from a practical viewpoint by involving genetic algorithms and MLP neural networks, contrary to the very few similar research efforts existing in the literature that are of only theoretical interest. Moreover, the problem of producing digital fingerprints of good quality for use in communication systems is formulated in terms of a hash function constructed by involving the genetic algorithm procedure, exclusively utilizing the crossover operator and the steady-state reproduction method and omitting its random components, as well as by involving a suitably designed MLP NN. An extensive experimental study is conducted to assess the quality of the results produced by applying the herein suggested two novel approaches, employing SHA, the known one way hash function algorithm, in the comparison procedure. The promising results herein obtained illustrate the importance of applying genetic algorithms and neural networks in communication systems security design.
Starting Page	2319
Ending Page	2324
File Size	560321
Page Count	6
File Format	PDF
ISBN	0780383591
ISSN	10987576
DOI	10.1109/IJCNN.2004.1380988
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-07-25
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization methods Multilayer perceptrons Fingerprint recognition Neural networks Genetic algorithms Algorithm design and analysis Communication systems Multi-layer neural network Production systems Steady-state
Content Type	Text
Resource Type	Article

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