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RTSS
2008
IEEE
16 years 2 months ago
Fast Sensor Placement Algorithms for Fusion-Based Target Detection
Mission-critical target detection imposes stringent performance requirements for wireless sensor networks, such as high detection probabilities and low false alarm rates. Data fus...
Zhaohui Yuan, Rui Tan, Guoliang Xing, Chenyang Lu,...
AINA
2007
IEEE
16 years 2 months ago
Intrusion Detection for Encrypted Web Accesses
As various services are provided as web applications, attacks against web applications constitute a serious problem. Intrusion Detection Systems (IDSes) are one solution, however,...
Akira Yamada, Yutaka Miyake, Keisuke Takemori, Ahr...
CONEXT
2007
ACM
15 years 9 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek
201
Voted
DIMVA
2006
15 years 9 months ago
A Fast Worm Scan Detection Tool for VPN Congestion Avoidance
Finding the cause for congested virtual private network (VPN) links that connect an office network over the Internet to remote subsidiaries can be a hassle. Scan traffic of worm i...
Arno Wagner, Thomas Dübendorfer, Roman Hiesta...
TON
2008
106views more  TON 2008»
15 years 7 months ago
Statistical techniques for detecting traffic anomalies through packet header data
This paper proposes a traffic anomaly detector, operated in postmortem and in real-time, by passively monitoring packet headers of traffic. The frequent attacks on network infrastr...
Seong Soo Kim, A. L. Narasimha Reddy