A.K. Ghosh and A. Schwartzbard, "A Study in Using Neural Networks for Anomaly and Mis use Detection", Proc. of the USENIX Security Symposium, August 23-26, 1999, Washington, USA. Home/Search Document Not in Database Summary Related Articles |
This paper is cited in the following contexts:
Ensemble Learning for Intrusion Detection in - Luca (2002) (Correct)
....previous works have addressed the anomaly detection problem by analyzing the audit records produced by the operating system, in [7] anomalies are detected by looking at the usage of network protocols. A neural network model designed to perform anomaly and misuse detection has been proposed in [8]. The training set is made up of strings of events captured by the Base Security Module (BSM) that is part of many operating systems. If the training set is made up of strings related to normal behavior, neural networks act as an anomaly detector. On the other hand, if strings captured during an ....
A.K. Ghosh and A. Schwartzbard, "A Study in Using Neural Networks for Anomaly and Mis use Detection", Proc. of the USENIX Security Symposium, August 23-26, 1999, Washington, USA.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC