Sciweavers

Share
37 search results - page 1 / 8
» Outside the Closed World: On Using Machine Learning for Netw...
Sort
View
SP
2010
IEEE
187views Security Privacy» more  SP 2010»
12 years 7 months ago
Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
Abstract—In network intrusion detection research, one popular strategy for finding attacks is monitoring a network’s activity for anomalies: deviations from profiles of norma...
Robin Sommer, Vern Paxson
JNCA
2007
179views more  JNCA 2007»
12 years 3 months ago
Modeling intrusion detection system using hybrid intelligent systems
The process of monitoring the events occurring in a computer system or network and analyzing them for sign of intrusions is known as intrusion detection system (IDS). This paper p...
Sandhya Peddabachigari, Ajith Abraham, Crina Grosa...
CCS
2009
ACM
12 years 10 months ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...
IJNSEC
2010
141views more  IJNSEC 2010»
11 years 10 months ago
Protection of an Intrusion Detection Engine with Watermarking in Ad Hoc Networks
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...
Aikaterini Mitrokotsa, Nikos Komninos, Christos Do...
NDSS
2003
IEEE
12 years 8 months ago
A Virtual Machine Introspection Based Architecture for Intrusion Detection
Today’s architectures for intrusion detection force the IDS designer to make a difficult choice. If the IDS resides on the host, it has an excellent view of what is happening i...
Tal Garfinkel, Mendel Rosenblum
books