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» Intrusion Detection with Neural Networks
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ACSAC
2000
IEEE
15 years 8 months ago
A Network Audit System for Host-based Intrusion Detection (NASHID) in Linux
Recent work has shown that conventional operating system audit trails are insufficient to detect low-level network attacks. Because audit trails are typically based upon system c...
Thomas E. Daniels, Eugene H. Spafford
113
Voted
ICANN
1997
Springer
15 years 7 months ago
A Novelty Detector Using a Network of Integrate and Fire Neurons
Information in the nervous system has often been considered as being represented by simultaneous discharge of a large set of neurons. We propose a learning mechanism for neural inf...
Tuong Vinh Ho, Jean Rouat
LISA
2007
15 years 6 months ago
ATLANTIDES: An Architecture for Alert Verification in Network Intrusion Detection Systems
We present an architecture1 designed for alert verification (i.e., to reduce false positives) in network intrusion-detection systems. Our technique is based on a systematic (and a...
Damiano Bolzoni, Bruno Crispo, Sandro Etalle
132
Voted
FLAIRS
2003
15 years 5 months ago
LIDS: Learning Intrusion Detection System
The detection of attacks against computer networks is becoming a harder problem to solve in the field of network security. The dexterity of the attackers, the developing technolog...
Mayukh Dass, James Cannady, Walter D. Potter
165
Voted
APNOMS
2006
Springer
15 years 7 months ago
Zone-Based Clustering for Intrusion Detection Architecture in Ad-Hoc Networks
Setting up an IDS architecture on ad-hoc network is hard because it is not easy to find suitable locations to setup IDS's. One way is to divide the network into a set of clust...
Il-Yong Kim, Yoo-Sung Kim, Ki-Chang Kim