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» Intrusion Detection with Neural Networks
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VIZSEC
2005
Springer
14 years 1 months ago
IDGraphs: Intrusion Detection and Analysis Using Histographs
Traffic anomalies and attacks are commonplace in today’s networks and identifying them rapidly and accurately is critical for large network operators. For a statistical intrusi...
Pin Ren, Yan Gao, Zhichun Li, Yan Chen, Benjamin W...
IEEECIT
2010
IEEE
13 years 6 months ago
Selective and Early Threat Detection in Large Networked Systems
—The complexity of modern networked information systems, as well as all the defense-in-depth best practices, require distributed intrusion detection architectures relying on the ...
Michele Colajanni, Mirco Marchetti, Michele Messor...
WWIC
2010
Springer
278views Communications» more  WWIC 2010»
14 years 8 days 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...
AINA
2010
IEEE
13 years 7 months ago
Resist Intruders' Manipulation via Context-Based TCP/IP Packet Matching
—Stepping-stone is the most popular way used to attack other computers. The reason is that intruders can be protected through a long connection chain involving some compromised c...
Yongzhong Zhang, Jianhua Yang, Santhoshkumar Bedig...
INFOCOM
2003
IEEE
14 years 1 months ago
Detecting Network Intrusions via Sampling: A Game Theoretic Approach
In this paper, we consider the problem of detecting an intruding packet in a communication network. Detection is accomplished by sampling a portion of the packets transiting selec...
Murali S. Kodialam, T. V. Lakshman