A Biological Immune System (BIS) inspired Mobile Agent Platform (MAP) security architecture

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• 作者：Pallavi Bagga^a ; ^{pallavibagga315@gmail.com} ; Rahul Hans^b ; ^{rahulhans@gmail.com} ; Vipul Sharma^b ; ^{vipuls85@gmail.com}
• 关键词：Malicious mobile agent ; Nonce-based authentication ; Pattern matching ; N-gram feature extraction ; Feature selection ; K-nearest neighbor classification
• 刊名：Expert Systems with Applications
• 出版年：2017
• 出版时间：15 April 2017
• 年：2017
• 卷：72
• 期：Complete
• 页码：269-282
• 全文大小：1615 K
• 卷排序：72

文摘

A self-adaptive IV-phase Mobile Agent Platform Security Architecture is proposed. Use of nonce-based authentication strengthens the agent owner verification. Exact pattern matching algorithm detects known malicious mobile agents. N-gram features based classification detects unknown malicious mobile agents. Use of feature selection methods improves the classification accuracy.