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» Network anomaly detection based on TCM-KNN algorithm
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APNOMS
2006
Springer
13 years 11 months ago
Signature-Aware Traffic Monitoring with IPFIX
Traffic monitoring is essential for accounting user traffic and detecting anomaly traffic such as Internet worms or P2P file sharing applications. Since typical Internet traffic mo...
Youngseok Lee, Seongho Shin, Taeck-Geun Kwon
CONEXT
2006
ACM
14 years 2 months ago
Synergy: blending heterogeneous measurement elements for effective network monitoring
Network traffic matrices are important for various network planning and management operations. Previous work for estimation of traffic matrices is based on either link load record...
Awais Ahmed Awan, Andrew W. Moore
TRIDENTCOM
2005
IEEE
14 years 1 months ago
TBI: End-to-End Network Performance Measurement Testbed for Empirical Bottleneck Detection
— Recent advances in networking include new bandwidth-intensive applications, sophisticated protocols that enable real-time data and multimedia delivery and aspects of network se...
Prasad Calyam, Dima Krymskiy, Mukundan Sridharan, ...
ICCV
2009
IEEE
15 years 29 days ago
Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model
We present a novel approach for detecting global behaviour anomalies in multiple disjoint cameras by learning time delayed dependencies between activities cross camera views. Sp...
Chen Change Loy, Tao Xiang and Shaogang Gong
ICNS
2007
IEEE
14 years 2 months ago
A Detection and Offense Mechanism to Defend Against Application Layer DDoS Attacks
—Application layer DDoS attacks, which are legitimate in packets and protocols, gradually become a pressing problem for commerce, politics and military. We build an attack model ...
Jie Yu, Zhoujun Li, Huowang Chen, Xiaoming Chen