NDLI: Malware diffusion behavior analysis in the internet and its immune protection strategies

Content Provider	IEEE Xplore Digital Library
Author	Xiao, Renbin Gong, Xiaoguang Tongyang Yu
Copyright Year	2012
Description	Author affiliation: Institute of Systems Engineering, Huazhong University of Science & Technology, Wuhan, 430074, China (Xiao, Renbin) \|\| School of Management, Huazhong University of Science & Technology, Wuhan, 430074, China (Gong, Xiaoguang) \|\| School of Management, South-Central University For Nationalities, Wuhan, 430074, China (Tongyang Yu)
Abstract	Malware has become the main threat to security of computer and networks. The Internet is the main channel for malware diffusing. According to the diffusing behaviour of malware on the Internet, this research designed a multi-agent simulation model of the malware diffusing. This model took the Internet as a complex network, distinguished large-scale nodes and general nodes in the Internet. It is studied how the autonomous general hosts' learning ability and malware's upgrade influence in the diffusing behaviour of malware. The results showed that ability of large-scale nodes controlling malware to diffuse and learning ability of general hosts played a decisive role in the control of malware diffusing. According to the simulation results, some immune protection strategies to resist malware are presented.
Starting Page	469
Ending Page	474
File Size	606103
Page Count	6
File Format	PDF
ISBN	9781467344975
ISSN	21544824
e-ISBN	9781889334479
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-24
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Malware Internet Software Analytical models Computational modeling Complex networks Immune protection strategy Multi-agent simulation Scale-free networks Diffusion
Content Type	Text
Resource Type	Article

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