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...
In this paper, we propose a mechanism that supports the high quality streaming and adaptation of stored, constant-quality video across best-effort networks. The difficulty in the d...
—The ever increasing scale and complexity of large computational systems ask for sophisticated management tools, paving the way toward Autonomic Computing. A first step toward A...
Approximating pairwise, or k-wise, independence with sublinear memory is of considerable importance in the data stream model. In the streaming model the joint distribution is give...
— The data management community has recently begun to consider declarative network routing and distributed acquisition: e.g., sensor networks that execute queries about contiguou...
Mengmeng Liu, Nicholas E. Taylor, Wenchao Zhou, Za...