Abstract— Natural or man-made disasters can partition networks while threatening human lives. Because conventional Mobile Ad-Hoc Networks (MANETs) cannot route messages across pa...
Serious concerns on privacy protection in social networks have been raised in recent years; however, research in this area is still in its infancy. The problem is challenging due ...
With the wide adoption of internet into our everyday lives, internet security becomes an important issue. Intrusion detection at the network level is an effective way of stopping m...
Chun Xue, Zili Shao, Meilin Liu, Qingfeng Zhuge, E...
Default privacy policies have a significant impact on the overall dynamics and success of online social networks, as users tend to keep their initial privacy policies. In this wor...
Abstract. In this paper, we propose a new unsupervised anomaly detection framework for detecting network intrusions online. The framework consists of new anomalousness metrics name...