Studies in Computational Intelligence

By: Ajith Abraham (Editor)

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Hardcover | 2 May 2007

At a Glance

Hardcover
276 Pages

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23.5 x 15.5 x 1.91

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This volume provides the academic and industrial community with a medium for presenting original research and applications related to information assurance and security using computational intelligence techniques. It details current research on information assurance and security regarding both the theoretical and methodological aspects, as well as various applications in solving real world problems using computational intelligence.

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Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Information Technology General Issue Computer Networking & Communications Network Security Mathematics Applied Mathematics Computer Security Data Encryption Engineering & Technology

Technology in General Maths for Engineers Engineering in General

Cryptography and Cryptanalysis Through Computational Intelligence	p. 1
Introduction	p. 2
Block ciphers	p. 2
Public key cryptographic schemes	p. 5
Elliptic Curve based cryptosystems	p. 7
Computational Intelligence Background and Methods	p. 8
Evolutionary Computation	p. 8
Artificial Neural Networks	p. 13
Fuzzy systems	p. 15
Review of Cryptography and Cryptanalysis Through Computational Intelligence	p. 16
Applying Computational Intelligence in Cryptanalysis	p. 18
Cryptanalysis as Discrete Optimization Task	p. 18
Cryptanalysis of Feistel Ciphers through Evolutionary Computation Methods	p. 23
Utilizing Artificial Neural Networks to Address Cryptographic Problems	p. 31
Artificial Neural Networks Applied on Problems Related to Elliptic Curve Cryptography	p. 34
Ridge Polynomial Networks for Cryptography	p. 37
Summary	p. 42
References	p. 43
Multimedia Content Protection Based on Chaotic Neural Networks	p. 51
Introduction	p. 52
Chaotic neural networks' generation and properties	p. 54
Chaotic neural network's generation	p. 54
Chaotic neural network's properties suitable for data encryption	p. 55
Multimedia content encryption based on chaotic neural networks	p. 59
Introduction to multimedia content encryption	p. 59
The cipher based on chaotic neural network	p. 60
Selective video encryption based on Advanced Video Coding	p. 64
Multimedia content authentication based on chaotic neural networks	p. 66
Introduction to multimedia content authentication	p. 66
The hash function based on chaotic neural network	p. 67
The proposed image authentication scheme	p. 69
Performance analysis	p. 70
Future work and discussions	p. 73
Conclusions	p. 74
Acknowledgements	p. 75
References	p. 75
Evolutionary Regular Substitution Boxes	p. 79
Introduction	p. 79
Preliminaries for Substitution Boxes	p. 80
Nash Equilibrium-based Evolutionary Algorithms	p. 82
Evolving Resilient S-Boxes	p. 82
S-Box encoding and genetic operators	p. 83
S-Box evaluation	p. 84
Performance Results	p. 87
Conclusion	p. 88
References	p. 88
Industrial Applications Using Wavelet Packets for Gross Error Detection	p. 89
Introduction	p. 90
Modules	p. 91
Gross Error Types and Examples	p. 93
Problem Specification	p. 95
Mathematical Preliminary	p. 95
Noise Level Detection Problem (NLDP) and Algorithm (NLDA)	p. 97
Some Remarks Regarding Wavelet Based Algorithms	p. 97
Wavelet Based Noise Level Determination	p. 97
Background and State of the Art	p. 98
Noise Level Estimation: State of the Art	p. 99
The Proposed New Procedure for Peak-Noise Level Detection	p. 100
Validation of Peak Noise Level Estimation	p. 103
The Wavelet Algorithm for GEDR	p. 106
Validation and Simulations	p. 109
Outlier Detection Algorithm: MAD Algorithm	p. 110
Results	p. 111
Algorithm Parameterization	p. 114
Experimental Data Sources	p. 116
Dryer, Distillation and Mining Data with Outliers	p. 118
Artificially Contaminated Data and Off-line, On-line Mode	p. 122
Summary, Conclusions and Outlook	p. 125
References	p. 126
Immune-inspired Algorithm for Anomaly Detection	p. 129
Introduction	p. 129
Background	p. 131
The Danger Theory	p. 131
Dendritic Cells as Initiator of Primary Immune Response	p. 133
IDS based on Danger Theory and DCs Properties	p. 136
Properties of DCs for IDS	p. 136
Abstraction of Anomaly Detection Algorithm	p. 138
DCs based Implementation of Practical Applications	p. 141
A Detection of DoM Attack	p. 142
Experiments and Results	p. 145
A Detection of Port Scan Attack	p. 147
Experiments and Results	p. 149
Conclusion	p. 153
References	p. 153
How to Efficiently Process Uncertainty within a Cyberinfrastructure without Sacrificing Privacy and Confidentiality	p. 155
Cyberinfrastructure and Web Services	p. 155
Practical Problem	p. 155
Centralization of Computational Resources	p. 156
Cyberinfrastructure	p. 156
What Is Cyberinfrastructure: The Official NSF Definition	p. 157
Web Services: What They Do - A Brief Summary	p. 157
Processing Uncertainty Within a Cyberinfrastructure	p. 158
Formulation of the problem	p. 158
Description of uncertainty: general formulas	p. 160
Error Estimation for the Results of Data Processing	p. 162
How This Problem Is Solved Now	p. 162
Need for Privacy Makes the Problem More Complex	p. 162
Solution for Statistical Setting: Monte-Carlo Simulations	p. 164
Solution for Interval and Fuzzy Setting	p. 165
Summary	p. 169
References	p. 170
Fingerprint Recognition Using a Hierarchical Approach	p. 175
Introduction	p. 175
Coarse Fingerprint Matching	p. 179
Fingerprint Foreground Segmentation	p. 180
Singular Points Extraction	p. 181
Singular Points Matching	p. 185
Topology-based Fine Matching	p. 185
Delaunay Triangulation of Minutiae Set	p. 188
Modeling Fingerprint Deformation	p. 190
Maximum Bipartite Matching	p. 192
Experimental Results	p. 194
Conclusions	p. 197
References	p. 198
Smart Card Security	p. 201
Introduction	p. 201
Smart Card Specific Attacks	p. 203
Side Channel Attacks	p. 203
Fault Attacks	p. 209
Smart Card Platform Security	p. 214
The Evolution of Smart Card Platforms	p. 214
The Different Multi-application smart card Platforms	p. 215
Java Card	p. 217
Java Card Security	p. 219
GSM and 3G Security	p. 221
1G - TACS	p. 222
2G - GSM	p. 222
3G - UMTS	p. 226
Summary	p. 228
References	p. 229
Governance of Information Security: New Paradigm of Security Management	p. 235
Introduction	p. 236
Rise of the Governance	p. 237
Definitions of the Governance	p. 237
Implications of the Governance	p. 238
Success Factors of the Governance	p. 239
Why the Security Management Fails	p. 240
What the Security Management Can Do	p. 240
What the Security Management Cannot Do	p. 242
Governance of Corporate Security	p. 244
General Frameworks for the Governance	p. 244
Integrated Framework for the Governance of Corporate Security	p. 244
Summary	p. 251
References	p. 252
Author Index	p. 255
Table of Contents provided by Publisher. All Rights Reserved.

Studies in Computational Intelligence

At a Glance

Hardcover

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