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» Intrusion Detection with Neural Networks
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ACSAC
2003
IEEE
13 years 12 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...
CN
2004
129views more  CN 2004»
13 years 8 months ago
Measuring normality in HTTP traffic for anomaly-based intrusion detection
In this paper, the problem of measuring normality in HTTP traffic for the purpose of anomaly-based network intrusion detection is addressed. The work carried out is expressed in t...
Juan M. Estévez-Tapiador, Pedro Garcia-Teod...
SSS
2007
Springer
130views Control Systems» more  SSS 2007»
14 years 2 months ago
Decentralized Detector Generation in Cooperative Intrusion Detection Systems
We consider Cooperative Intrusion Detection System (CIDS) which is a distributed AIS-based (Artificial Immune System) IDS where nodes collaborate over a peer-to-peer overlay netwo...
Rainer Bye, Katja Luther, Seyit Ahmet Çamte...
GLOBECOM
2007
IEEE
14 years 2 months ago
Aggregated Bloom Filters for Intrusion Detection and Prevention Hardware
—Bloom Filters (BFs) are fundamental building blocks in various network security applications, where packets from high-speed links are processed using state-of-the-art hardwareba...
N. Sertac Artan, Kaustubh Sinkar, Jalpa Patel, H. ...
TDSC
2011
13 years 3 months ago
Mechanism Design-Based Secure Leader Election Model for Intrusion Detection in MANET
—In this paper, we study leader election in the presence of selfish nodes for intrusion detection in mobile ad hoc networks (MANETs). To balance the resource consumption among a...
Noman Mohammed, Hadi Otrok, Lingyu Wang, Mourad De...