Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
Yingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei L...
Abstract. We propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection in unlabeled audit data streams. The framework owns a...
This paper considers the problem of optimal and competitive wireless access for data streaming over vehicleto-roadside (V2R) communication. In a service area, the onboard units (OB...
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
We present a flexible framework for throttling attackers in peerto-peer media streaming systems. In such systems, selfish nodes (e.g., free riders) and malicious nodes (e.g., DoS ...