Online behavior classification for anomaly detection in self-x real-time systems

Author:

Rammig Franz1,Stahl Katharina1

Affiliation:

1. Heinz Nixdorf Institute; University of Paderborn; Paderborn Germany

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference34 articles.

1. Recent advances in artificial immune systems: models and applications;Dasgupta;Applied Soft Computing,2011

2. Anomaly detection: a survey;Chandola;ACM Computing Surveys,2009

3. Feng H Kolesnikov O Fogla P Lee W Gong W Anomaly detection using call stack information Washington, DC, USA 2003 62

4. Rammig FJ Stahl K Vaz G A framework for enhancing dependability in self-x systems by artificial immune systems 2013 1 10

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1. Self-adaptive systems: A systematic literature review across categories and domains;Information and Software Technology;2022-08

2. SORT 2014;Concurrency and Computation: Practice and Experience;2016-07-21

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