Peer-to-peer (P2P) botnets have recently been adopted by botmasters for their resiliency against take-down efforts. Besides being harder to take down, modern botnets tend to be stealthier in the way they perform malicious activities, making current detection approaches ineffective. In addition, the rapidly growing volume of network traffic calls for high scalability of detection systems. In thi...

This paper studies countermeasures to traffic analysis attacks. A common strategy for such countermeasures is traffic padding. We consider systems where payload traffic may be padded to have either constant inter-arrival times or variable inter-arrival times for their packets. The adversary applies statistical recognition techniques to detect the payload traffic rates and may use statistical me...

In this paper, we propose a new approach to detect salient traffic signs, which is based on visual saliency and auto-generated strokes for image segmentation. The proposed algorithm deals with two tasks on detecting traffic signs: auto-location and auto extraction. Firstly, inspired by recent work of visual saliency detection, we obtain the location of traffic signs in a natural image by multi-...