531 search results - page 1 / 107 » Unsupervised learning techniques for an intrusion detection ... |
SAC
2004
ACM
13 years 10 months ago
2004
ACM
With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are incr...
ICIAP
2005
ACM
14 years 5 months ago
2005
ACM
The continuous evolution of the attacks against computer networks has given renewed strength to research on anomaly based Intrusion Detection Systems, capable of automatically dete...
ICIAP
2005
ACM
14 years 5 months ago
2005
ACM
Abstract. Application and development of specialized machine learning techniques is gaining increasing attention in the intrusion detection community. A variety of learning techniq...
ACSC
2005
IEEE
13 years 10 months ago
2005
IEEE
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
IJNSEC
2010
12 years 11 months ago
2010
In this paper we present an intrusion detection engine comprised of two main elements; firstly, a neural network for the actual detection task and secondly watermarking techniques...