The Web Science Trust

Dark Web Patterns

Marshall, Brandeis and Dark, Melissa and Goldman, James and Hacker, Thomas and Smith, Anthony (2009) Dark Web Patterns. In: Proceedings of the WebSci'09: Society On-Line, 18-20 March 2009, Athens, Greece. (In Press)

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Abstract

The Internet now provides a myriad of new ways to interact that eliminate physical distance, time, and even culture and language as factors affecting the development, maintenance, evolution, and even power of social networks. In these new social spaces, concepts such as privacy, property rights, and social mores that have developed over thousands of years in physical societies are being vetted and charily adopted in this new virtual world. We propose to develop a network monitoring system that can detect nefarious content, capture identifying information, build a stochastic network model of social relationships, and quickly determine if the social network demonstrates dark network properties. By using the classification of web spam as a standard, we seek to pinpoint the properties that uniquely categorize the malicious content and data sources through clustering techniques and serves as an initial approach to circumvent the proliferation of online dark network.

Item Type:Conference or Workshop Item (Poster)
Uncontrolled Keywords:social networking, malicious content, design
Subjects:Web Science Events > Web Science 2009
ID Code:126
Deposited By: W S T Administrator
Deposited On:24 Jan 2009 08:45
Last Modified:25 Oct 2011 16:36

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