A Social Approach to Security: Using Social Networks to Help Detect Malicious Web Content
In the midst of a social networking revolution, social media has become the new vehicle for effective business marketing and transactions. As social aspects to the Internet continue to expand in both quantity and scope, so has the security threat towards enterprise networks and systems. Many social networking users also become main targets of spams, phishing, stalking, and other malware attacks that exploit the trust among social network friends. This paper presents a comprehensive method combining traditional security heuristics with social networking data to aid in the detection of malicious web content as it propagates through the users network. A Facebook application is implemented to automatically evaluate and detect malicious link content. The results of testing this application against known phishing and malware sites with realworld user profiles have shown encouraging results.
Michael Robertson Yin Pan Bo Yuan
Department of Networking, Security, and Systems Administration B.Thomas Golisano College of Computing and Information Sciences Rochester Institute of Technology Rochester, New York 14623
国际会议
The 2010 International Conference on Intelligent Systems and Knowledge Engineering(第五届智能系统与知识工程国际会议)
杭州
英文
436-441
2010-11-15（万方平台首次上网日期，不代表论文的发表时间）