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» On the difficulty of scalably detecting network attacks
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127
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ACSAC
2003
IEEE
15 years 3 months ago
Bayesian Event Classification for Intrusion Detection
Intrusion detection systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of lega...
Christopher Krügel, Darren Mutz, William K. R...
122
Voted
IPPS
2010
IEEE
14 years 10 months ago
Distributed monitoring of conditional entropy for anomaly detection in streams
In this work we consider the problem of monitoring information streams for anomalies in a scalable and efficient manner. We study the problem in the context of network streams wher...
Chrisil Arackaparambil, Sergey Bratus, Joshua Brod...
103
Voted
USS
2008
15 years 2 months ago
To Catch a Predator: A Natural Language Approach for Eliciting Malicious Payloads
We present an automated, scalable, method for crafting dynamic responses to real-time network requests. Specifically, we provide a flexible technique based on natural language pro...
Sam Small, Joshua Mason, Fabian Monrose, Niels Pro...
ISCC
2009
IEEE
254views Communications» more  ISCC 2009»
15 years 6 months ago
Monitoring connectivity in wireless sensor networks
It is important to have continuous connectivity in a wireless sensor network after it is deployed in a hostile environment. However, such networks are constrained by the low usert...
Benahmed Khelifa, Hafid Haffaf, Madjid Merabti, Da...
91
Voted
ACSAC
2007
IEEE
15 years 6 months ago
Tracking Darkports for Network Defense
We exploit for defensive purposes the concept of darkports – the unused ports on active systems. We are particularly interested in such ports which transition to become active (...
David Whyte, Paul C. van Oorschot, Evangelos Krana...