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DIMVA
2008
15 years 8 months ago
Traffic Aggregation for Malware Detection
Abstract. Stealthy malware, such as botnets and spyware, are hard to detect because their activities are subtle and do not disrupt the network, in contrast to DoS attacks and aggre...
Ting-Fang Yen, Michael K. Reiter
DCOSS
2007
Springer
16 years 22 days ago
Separating the Wheat from the Chaff: Practical Anomaly Detection Schemes in Ecological Applications of Distributed Sensor Networ
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
Luís M. A. Bettencourt, Aric A. Hagberg, Le...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 1 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
CHIMIT
2009
ACM
16 years 1 months ago
Network stack diagnosis and visualization tool
End users are often frustrated by unexpected problems while using networked software, leading to frustrated calls to the help desk seeking solutions. However, trying to locate the...
Krist Wongsuphasawat, Pornpat Artornsombudh, Bao N...
IPPS
2006
IEEE
16 years 18 days ago
Battery-aware router scheduling in wireless mesh networks
Wireless mesh networks recently emerge as a flexible, low-cost and multipurpose networking platform with wired infrastructure connected to the Internet. A critical issue in mesh ...
Chi Ma, Zhenghao Zhang, Yuanyuan Yang