基于社会信任的恶意网页协防机制

doi:10.3969/j.issn.1000-436x.2012.12.002

Abstract

Abstract:

To deal with the threat of malicious Web pages,a distributed defending scheme against malicious Web pages based on social trust was proposed.Besides the malicious URL list from third-party professional organizations,the direct and indirect trust relations between friends in social network were used to obtain evaluations of Web pages.The experiences about Web surfing from a user’s friends were collected to result in synthetical evaluations on his computer.Each user cooperated with his friends,so that a defending system was formed on the overall perspective,which can improve the defending ability of the social network against malicious Web pages.The experiment results indicate that the visits of malicious Web pages under the scheme decrease obviously than the methods without social trust.

Key words: social network, social trust, malicious Web page, Web page evaluation, indirect trust

Xin LIU,Chun-fu JIA,Guo-you LIU,Zhi-chao HU,Dong WANG. Collaborative defending scheme against malicious Web pages based on social trust[J]. Journal on Communications, 2012, 33(12): 11-18.

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References 18

[1]	APWG. Anti phishing work group[EB/OL]. , 2011.
[2]	Google chrome and google safe browsing[EB/OL]. , 2011.
[3]	SmartScreen filter[EB/OL]. , 2011.
[4]	Mark zuckerberg officially confirmed that facebook reached 750 million active users milestone[EB/OL]. , 2011.
[5]	GOLBECK J . Weaving a Web of trust[J]. Science Magazine,AAAS, 2008,321(5896): 1640-1641.
[6]	DONOVAN J O’ , SMYTH B . Trust in recommender systems[A]. IUI’05:Proceedings of the 10th International Conference on Intelligent User Interfaces[C]. New York,NY,USA, 2005. 167-174.
[7]	SIRIVIANOS M , KIM K , YANG X . SocialFilter:introducing social trust to collaborative spam mitigation[A]. INFOCOM[C]. 2011. 2300-2308.
[8]	BOYKIN P O , ROYCHOWDHURY V . Personal email networks:an effective anti-spam tool[J]. IEEE Computer, 2005,38(4): 61-68.
[9]	YU H , KAMINSKY M , GIBBONS P B ,et al. Sybilguard:defending against sybil attacks via social networks[A]. Proc ACM SIGCOMM[C]. 2006. 576-589.
[10]	RESNICK P , ZECKHAUSER R . Trust among strangers in Internet transactions:empirical analysis of ebay’s reputation system[J]. The Economics of the Internet and E-Commerce,Advances in Applied Microeconomics,Elsevier Science, 2002,11: 127-157.
[11]	PAGE L , BRIN S , MOTWANI R ,et al. The Pagerank Citation Ranking:Bringing order to the Web[R]. Stanford University, 1998.
[12]	JEAN CAMP L . Net trust:signaling malicious Web sites[J]. I/S A Journal of Law and Policy in the Information Society, 2007,3(2): 211-235.
[13]	Safe browsing tool:WOT (Web of trust)[EB/OL]. , 2011.
[14]	HANG C , WANG Y , SINGH M P . Operators for propagating trust and their evaluation in social networks[A]. Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems[C]. 2009. 1025-1032.
[15]	GOLBECK J . Computing and Applying Trust in Web-based Social Networks[D]. University of Maryland,College Park, 2005.
[16]	李勇军, 代亚非 . 对等网络信任机制研究[J]. 计算机学报, 2010,(3): 390-405. LI Y J , DAI Y F . Research on trust mechanism for peer-to-peer network[J]. Chinese Journal of Computers, 2010,(3): 390-405.
[17]	AARON G , RASMUSSEN R . Global phishing survey 2h2010:trends and domain name use[EB/OL]. , 2011.
[18]	Google safe browsing API[EB/OL]. , 2010.

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用户ID	信任值	URL1	URL2	URL3	URL4
ID1	100%	3
ID2	90%	2	-2	3	4
ID3	70%	1	-2	3
ID4	70%	2			3
ID5	90%		-2	2	4
ID6	80%		-1
综合评价值		2.09	-1.76	2.76	3.72

Collaborative defending scheme against malicious Web pages based on social trust

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