By Shoichi Morimoto, Daisuke Horie, Jingde Cheng (auth.), Marina Gavrilova, Osvaldo Gervasi, Vipin Kumar, C. J. Kenneth Tan, David Taniar, Antonio Laganá, Youngsong Mun, Hyunseung Choo (eds.)
This ?ve-volume set used to be compiled following the 2006 overseas convention on Computational technological know-how and its functions, ICCSA 2006, held in Glasgow, united kingdom, in the course of may possibly 8–11, 2006. It represents the exceptional number of virtually 664 refereed papers chosen from over 2,450 submissions to ICCSA 2006. Computational technological know-how has ?rmly demonstrated itself as an integral part of many scienti?c investigations, a?ecting researchers and practitioners in parts starting from purposes equivalent to aerospace and car, to rising applied sciences resembling bioinformatics and nanotechnologies, to center disciplines resembling ma- ematics, physics, and chemistry. a result of shear measurement of many demanding situations in computational technology, using supercomputing, parallel processing, and - phisticated algorithms is inevitable and turns into part of basic theore- cal examine in addition to endeavors in rising ?elds. jointly, those far-reaching scienti?c parts assisted in shaping this convention within the nation-states of state-- the-art computational technological know-how researchand functions, encompassing the fac- itating theoretical foundations and the leading edge functions of such leads to different areas.
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Extra info for Computational Science and Its Applications - ICCSA 2006: International Conference, Glasgow, UK, May 8-11, 2006, Proceedings, Part III
An On-Line Neural Network System For Computer Access Security. IEEE Transactions on Industrial Electronics. 40 (1993) 235-242 8. : An Alternative Way for Computer Access Security: Password Entry Patterns. Proceedings of the 18th National Conference on Operations Research and Industrial Engineering, Istanbul, Turkey. (1996) 17-20 9. : A Neural Network Based Computer Access Security System for Multiple Users. Computers and Industrial Engineering. 35 (1998) 351-354 10. : Designing a Neural Network Based Computer Access Security System: Keystroke Dynamics and/or Voice Patterns.
A pattern recognition technique, defined as a classification model, is concerned with performing feature extraction, learning the transparent mapping and classifying patterns . For the task of pattern recognition using layered NNs, inputs correspond to features, connections between layers correspond to mapping, and outputs correspond to pattern classes. In addition, a layered NN may contain one or more hidden layers, which represent the domain knowledge and help to perform feature extraction.
We have already proposed a security speciﬁcation veriﬁcation technique based on ISO/IEC 15408 . We beforehand formalized all elements of ISO/IEC 15408 Part 2 as formal criteria . The technique enables strict veriﬁcation using formal methods and the formal criteria. With the technique, one can strictly verify whether or not information systems designed by ISEDS satisfy the elements of ISO/IEC 15408. Conversely, users of the technique can retrieve elements which are required in the certiﬁed information systems similar to a veriﬁcation target information system.
Computational Science and Its Applications - ICCSA 2006: International Conference, Glasgow, UK, May 8-11, 2006, Proceedings, Part III by Shoichi Morimoto, Daisuke Horie, Jingde Cheng (auth.), Marina Gavrilova, Osvaldo Gervasi, Vipin Kumar, C. J. Kenneth Tan, David Taniar, Antonio Laganá, Youngsong Mun, Hyunseung Choo (eds.)