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» On scalable attack detection in the network
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ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
15 years 8 months ago
Behavior Analysis-Based Learning Framework for Host Level Intrusion Detection
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
WWIC
2010
Springer
193views Communications» more  WWIC 2010»
15 years 10 months ago
0day Anomaly Detection Made Possible Thanks to Machine Learning
Abstract. This paper proposes new cognitive algorithms and mechanisms for detecting 0day attacks targeting the Internet and its communication performances and behavior. For this pu...
Philippe Owezarski, Johan Mazel, Yann Labit
WWIC
2010
Springer
278views Communications» more  WWIC 2010»
15 years 10 months ago
Anomaly-Based Intrusion Detection Algorithms for Wireless Networks
Abstract. In this paper we present and evaluate anomaly-based intrusion detection algorithms for detecting physical layer jamming attacks in wireless networks, by seeking changes i...
Alexandros G. Fragkiadakis, Vasilios A. Siris, Nik...
DISCEX
2003
IEEE
15 years 11 months ago
Detecting Spoofed Packets
Packets sent using the IP protocol include the IP address of the sending host. The recipient directs replies to the sender using this source address. However, the correctness of t...
Steven J. Templeton, Karl E. Levitt
ESORICS
2012
Springer
13 years 8 months ago
X.509 Forensics: Detecting and Localising the SSL/TLS Men-in-the-Middle
Although recent compromises and admissions have given new credibility to claimed encounters of Man-in-the-middle (MitM) attacks on SSL/TLS, very little proof exists in the public r...
Ralph Holz, Thomas Riedmaier, Nils Kammenhuber, Ge...