Survey of intrusion detection systems: techniques, datasets and challenges
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Abstract
Cyber-attacks are becoming more sophisticated and thereby presenting increasing challenges in accurately detecting intrusions. Failure to prevent the intrusions could degrade the credibility of security services, e.g. data confidentiality, integrity, and availability. Numerous intrusion detection methods have been proposed in the literature to tackle computer security threats, which can be broadly classified into Signature-based Intrusion Detection Systems (SIDS) and Anomaly-based Intrusion Detection Systems (AIDS). This survey paper presents a taxonomy of contemporary IDS, a comprehensive review of notable recent works, and an overview of the datasets commonly used for evaluation purposes. It also presents…
Citation impact
1,800
total citations
- FWCI
- 106.66
- Percentile
- 100%
- References
- 117
Citations per year
Authors
4Topics & keywords
Topics
Keywords
- Intrusion detection system
- Computer science
- Credibility
- Confidentiality
- Computer security
- Anomaly detection
- Anomaly-based intrusion detection system
- Data mining
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