By Agusti Solanas, Antoni Martínez-bal
During this publication, we target to gather the latest advances in man made intelligence strategies (i.e. neural networks, fuzzy platforms, multi-agent platforms, genetic algorithms, photograph research, clustering, etc), that are utilized to the safety of privateness and safeguard. The symbiosis among those fields ends up in a pool of invigorating rules, that are explored during this booklet. at the one hand, person privateness safeguard is a scorching subject and has to be addressed with the intention to warrantly the right kind evolution of a contemporary society. at the different, protection can invade person privateness, specifically after the looks of latest types of terrorism. during this e-book, we research those difficulties from a brand new perspective.
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Extra resources for Advances in artificial intelligence for privacy protection and security
This is done to prevent a cryptanalyst to gain information about the plaintext from the ciphertext. Diffusion means that the influence of a symbol of the plaintext affects as many symbols as possible in the ciphertext. Thus, the statistical properties of one of the symbols in the plaintext diffuse over the majority of the ciphertext, which leads to a concealment of the statistical properties of the plaintext given the ciphertext. Provided that plaintext and ciphertext are represented as binary numbers, this principle is exemplified by making each bit in the ciphertext to depend on all the bits in the plaintext.
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30 31 32 33 34 35 35 37 38 30 A. Ribagorda Garnacho et al. 1 Access control policies . . . 2 Access control models . . . 7 Data encipherment mechanisms . . . 1 Attacks . . . . . . . 2 Cryptosystems classification . 8 Digital signature mechanism . . . . 9 Digital certificates . . . . . . 10 Audit logs . . . . . . . . . 11 Physical security . . . . . . . 1 Intrusion prevention .