Date Added: Oct 2010
With the introduction of the World Wide Web and online social networks, people now have sought ways to socialize and make new friends online over a greater distance. Popular social network sites such as Facebook, Twitter and Bebo have witnessed rapid increases in space and the number of online users over a short period of time. However, alongside with these fast expands comes the threat of malicious softwares such as viruses, worms or false information propagation. In this paper, the authors propose a novel adaptive method for containing worm propagation on dynamic social networks.