To fight against malicious codes of P2P networks, it is necessary to study the malicious code propagation model of P2P networks in depth. The epidemic of malicious code threatening P2P systems can be divided into the ...To fight against malicious codes of P2P networks, it is necessary to study the malicious code propagation model of P2P networks in depth. The epidemic of malicious code threatening P2P systems can be divided into the active and passive propagation models and a new passive propagation model of malicious code is proposed, which differentiates peers into 4 kinds of state and fits better for actual P2P networks. From the propagation model of malicious code, it is easy to find that quickly making peers get their patched and upgraded anti-virus system is the key way of immunization and damage control. To distribute patches and immune modules efficiently, a new exponential tree plus （ET＋） and vaccine distribution algorithm based on ET＋ are also proposed. The performance analysis and test results show that the vaccine distribution algorithm based on ET＋ is robust, efficient and much more suitable for P2P networks.展开更多
基金supported by the National Natural Science Foundation of China (60573141,60773041)National High Technology Research and Development Program of China (863 Program) (2006AA01Z439+12 种基金2007AA01Z404 2007AA01Z478)the Natural Science Foundation of Jiangsu Province (BK2008451)Science & Technology Project of Jiangsu Province (BE2009158)the Natural Science Foundation of Higher Education Institutions of Jiangsu Province (09KJB520010 09KJB520009)the Research Fund for the Doctoral Program of Higher Education(2009 3223120001)the Sepcialized Research Fund of Ministry of Education (2009117)High Technology Research Program of Nanjing(2007RZ127)Foundation of National Laboratory for Modern Communications (9140C1105040805)Postdoctoral Foundation of Jiangsu Province (0801019C)Science & Technology Innovation Fundfor Higher Education Institutions of Jiangsu Province (CX08B-085ZCX08B-086Z)
文摘To fight against malicious codes of P2P networks, it is necessary to study the malicious code propagation model of P2P networks in depth. The epidemic of malicious code threatening P2P systems can be divided into the active and passive propagation models and a new passive propagation model of malicious code is proposed, which differentiates peers into 4 kinds of state and fits better for actual P2P networks. From the propagation model of malicious code, it is easy to find that quickly making peers get their patched and upgraded anti-virus system is the key way of immunization and damage control. To distribute patches and immune modules efficiently, a new exponential tree plus （ET＋） and vaccine distribution algorithm based on ET＋ are also proposed. The performance analysis and test results show that the vaccine distribution algorithm based on ET＋ is robust, efficient and much more suitable for P2P networks.
