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» Scalable Intrusion Detection with Recurrent Neural Networks
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ICANN
2005
Springer
14 years 1 months ago
Detecting Compounded Anomalous SNMP Situations Using Cooperative Unsupervised Pattern Recognition
This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behav...
Emilio Corchado, Álvaro Herrero, José...
NSDI
2010
13 years 9 months ago
Carousel: Scalable Logging for Intrusion Prevention Systems
We address the problem of collecting unique items in a large stream of information in the context of Intrusion Prevention Systems (IPSs). IPSs detect attacks at gigabit speeds and...
Vinh The Lam, Michael Mitzenmacher, George Varghes...
IJNSEC
2008
129views more  IJNSEC 2008»
13 years 7 months ago
LAMAIDS: A Lightweight Adaptive Mobile Agent-based Intrusion Detection System
Intrusion detection system (IDS) has become an essential component of a computer security scheme as the number of security-breaking attempts originating inside organizations is in...
Mohamad A. Eid, Hassan Artail, Ayman I. Kayssi, Al...
CCGRID
2006
IEEE
14 years 1 months ago
INTCTD: A Peer-to-Peer Approach for Intrusion Detection
In this paper we propose a peer-to-peer (P2P) prototype (INTCTD) for intrusion detection over an overlay network. INTCTD is a distributed system based on neural networks for detec...
Catalin Dumitrescu
DBSEC
2001
115views Database» more  DBSEC 2001»
13 years 9 months ago
Randomly roving agents for intrusion detection
Agent based intrusion detection systems IDS have advantages such as scalability, recon gurability, and survivability. In this paper, we introduce a mobile-agent based IDS, called ...
Ira S. Moskowitz, Myong H. Kang, LiWu Chang, Garth...