A Biological Immune System (BIS) inspired Mobile Agent Platform (MAP) security architecture
作者：
Highlights：
• 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.
摘要
•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.
论文关键词：Malicious mobile agent,Nonce-based authentication,Pattern matching,N-gram feature extraction,Feature selection,K-nearest neighbor classification
论文评审过程：Received 22 June 2016, Revised 21 October 2016, Accepted 31 October 2016, Available online 9 November 2016, Version of Record 2 January 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.10.062
