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Titlebook: Computational Intelligence in Security for Information Systems; 4th International Co álvaro Herrero,Emilio Corchado Conference proceedings

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發(fā)表于 2025-3-21 19:03:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Intelligence in Security for Information Systems
副標(biāo)題4th International Co
編輯álvaro Herrero,Emilio Corchado
視頻videohttp://file.papertrans.cn/233/232535/232535.mp4
概述State-of-the-art research.Fast-track conference proceedings.Unique visibility
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Intelligence in Security for Information Systems; 4th International Co álvaro Herrero,Emilio Corchado Conference proceedings
描述This book constitutes the refereed proceedings of the 4th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2011, held in Torremolinos-Málaga, in June 2011 as a satellite event of IWANN 2011, the International Work-conference on Artificial and Natural Neural Networks.The 38 revised full papers presented were carefully reviewed and selected from a total of 70 submissions. The papers are organized in topical sections on machine learning and intelligence, network security, cryptography, securing software, and applications of intelligent methods for security.
出版日期Conference proceedings 2011
關(guān)鍵詞cryptanalysis; elliptic curves; malware; network intrusion detection; public key cryptography; algorithm
版次1
doihttps://doi.org/10.1007/978-3-642-21323-6
isbn_softcover978-3-642-21322-9
isbn_ebook978-3-642-21323-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Berlin Heidelberg 2011
The information of publication is updating

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Detecting Bad-Mouthing Attacks on Reputation Systems Using Self-Organizing Maps. An important advantage of this approach is that we have no restrictions on training data, and thus there is no need for any data pre-processing. Testing results demonstrates the capability of the approach in detecting bad mouthing attack in various scenarios.
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https://doi.org/10.1007/978-3-322-89097-9. An important advantage of this approach is that we have no restrictions on training data, and thus there is no need for any data pre-processing. Testing results demonstrates the capability of the approach in detecting bad mouthing attack in various scenarios.
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A Group Signature Scheme Based on the Integer Factorization and the Subgroup Discrete Logarithm Prob
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Computational Intelligence in Security for Information Systems4th International Co
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