Anomaly-based intrusion detection system
An Anomaly-Based Intrusion Detection System, is a system for detecting computer intrusions and misuse by monitoring system activity and classifying it as either normal or anomalous. The classification is based on heuristics or rules, rather than patterns or signatures, and attempts to detect any type of misuse that falls out of normal system operation. This is as opposed to signature-based systems, which can only detect attacks for which a signature has previously been created.[1]
In order to determine what is attack traffic, the system must be taught to recognize normal system activity. This can be accomplished in several ways, most often with artificial intelligence type techniques. Systems using neural networks have been used to great effect. Another method is to define what normal usage of the system comprises using a strict mathematical model, and flag any deviation from this as an attack. This is known as strict anomaly detection.[2]
Anomaly-based Intrusion Detection does have some shortcomings, namely a high false-positive rate and the ability to be fooled by a correctly delivered attack.[2] Attempts have been made to address these issues through techniques used by PAYL[1] and MCPAD.[3]
See also
- Change detection
- Cfengine - 'cfenvd' can be utilized to do 'anomaly detection'
- DNS analytics
- RRDtool - can be configured to flag anomalies
References
<templatestyles src="Reflist/styles.css" />
Cite error: Invalid <references> tag; parameter "group" is allowed only.
<references />, or <references group="..." /><templatestyles src="Asbox/styles.css"></templatestyles>
 |
This computer networking article is a stub. You can help Wikipedia by expanding it. |
