An Elaborate Comprehensive Survey on Recent Developments in Behaviour Based Intrusion Detection Systems
Autor: | A M Viswa Bharathy, N Umapathi, S. Prabaharan |
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Rok vydání: | 2019 |
Předmět: |
Computer science
business.industry Cloud computing 02 engineering and technology Intrusion detection system Computer security computer.software_genre Field (computer science) Constant false alarm rate Statistical classification 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business computer |
Zdroj: | 2019 International Conference on Computational Intelligence in Data Science (ICCIDS). |
DOI: | 10.1109/iccids.2019.8862119 |
Popis: | Intrusion detection system is described as a data monitoring, network activity study and data on possible vulnerabilities and attacks in advance. One of the main limitations of the present intrusion detection technology is the need to take out fake alarms so that the user can confound with the data. This paper deals with the different types of IDS their behaviour, response time and other important factors. This paper also demonstrates and brings out the advantages and disadvantages of six latest intrusion detection techniques and gives a clear picture of the recent advancements available in the field of IDS based on the factors detection rate, accuracy, average running time and false alarm rate. |
Databáze: | OpenAIRE |
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