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» Intrusion Detection with Neural Networks
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VIZSEC
2005
Springer
15 years 5 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
14 years 10 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»
15 years 3 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...
AINA
2010
IEEE
14 years 10 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
15 years 5 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