anomaly detection

[ə′näm·ə·lē di‚tek·shən]

(computer science)

The technology that seeks to identify an attack on a computer system by looking for behavior that is out of the norm.

anomaly detection

(1) An approach to intrusion detection that establishes a baseline model of behavior for users and components in a computer system or network. Deviations from the baseline cause alerts that direct the attention of human operators to the anomalies. See IDS and anomaly.

(2) Detecting data that lie outside the normal range. Also called "outlier detection."

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References in periodicals archive

Correia, "TAT-NIDS: an immune-based anomaly detection architecture for network intrusion detection," in Proceedings of the 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB '08), pp.

A survey of artificial immune system based intrusion detection

Anomaly Detection That Occurs due to the Human Body.

Visual scheme monitoring of sensors for fault tolerance on wireless body area networks with cloud service infrastructure

Here we summarize the main procedure for solving our network anomaly detection problem by APG algorithm, which is called NAD-APG (see Algorithm 1).

A large-scale network data analysis via sparse and low rank reconstruction

Therefore, the anomaly detection proposed in this study first identifies a typical demand profile for each building to capture its own unique characteristics, then the actual demand is compared to the typical profile and the deviations from this typical profile are quantified.

Model-based and Data-driven Anomaly Detection for Heating and Cooling Demands in Office Buildings

In Section 3, we introduce our anomaly detection approach in detail and present the system design.

A Moving Window Principal Components Analysis Based Anomaly Detection and Mitigation Approach in SDN Network

In April 2017, TEPCO FP and MHPS installed their jointly developed anomaly detection model at the Pagbilao Power Station.

TEPCO Fuel and Power & MHPS Launch Digital Solution Service to Improve Asset Value of Clean Coal Power Plants

Adaptive anomaly detection scheme for cloud computing based on LOF is presented by T.

Application of Local Outlier Factor Algorithm to Detect Anomalies in Computer Network

Compared with hand-crafted feature-based anomaly detection approaches that depend on predefined heuristics, deep learning-based anomaly detection is easy to realize and generalize to different surveillance scenes.

Anomaly Detection in Moving Crowds through Spatiotemporal Autoencoding and Additional Attention

Furthermore, Zhou S and Xu W have constructed the local anomaly detection algorithm based on the deviation in [7].

A New Cooperative Anomaly Detection Method for Stacker Running Track of Automated Storage and Retrieval System in Industrial Environment