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» Scalable Intrusion Detection with Recurrent Neural Networks
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IJNSEC
2006
132views more  IJNSEC 2006»
13 years 7 months ago
Alert Correlation for Extracting Attack Strategies
Alert correlation is an important technique for managing large the volume of intrusion alerts that are raised by heterogenous Intrusion Detection Systems (IDSs). The recent trend ...
Bin Zhu, Ali A. Ghorbani
RAID
2004
Springer
14 years 1 months ago
On the Design and Use of Internet Sinks for Network Abuse Monitoring
Abstract. Monitoring unused or dark IP addresses offers opportunities to significantly improve and expand knowledge of abuse activity without many of the problems associated with ...
Vinod Yegneswaran, Paul Barford, David Plonka
HAIS
2010
Springer
14 years 20 days ago
Incorporating Temporal Constraints in the Planning Task of a Hybrid Intelligent IDS
Abstract. Accurate and swift responses are crucial to Intrusion Detection Systems (IDSs), especially if automatic abortion mechanisms are running. In keeping with this idea, this w...
Álvaro Herrero, Martí Navarro, Vicen...
ANCS
2007
ACM
13 years 12 months ago
Optimization of pattern matching algorithm for memory based architecture
Due to the advantages of easy re-configurability and scalability, the memory-based string matching architecture is widely adopted by network intrusion detection systems (NIDS). In...
Cheng-Hung Lin, Yu-Tang Tai, Shih-Chieh Chang
IWAN
2004
Springer
14 years 1 months ago
Distributed Instrusion Prevention in Active and Extensible Networks
The proliferation of computer viruses and Internet worms has had a major impact on the Internet Community. Cleanup and control of malicious software (malware) has become a key prob...
Todd S. Sproull, John W. Lockwood