Cybersecurity· 2019Q1· Review
Survey of intrusion detection systems: techniques, datasets and challenges
- 1,865citations
- Q1SCImago
- 2019year
Short summary
This survey categorizes contemporary Intrusion Detection Systems (IDS) into Signature-based (SIDS) and Anomaly-based (AIDS), reviewing recent works, common datasets, attacker evasion techniques, and future challenges in cybersecurity.
AI-generated from the title and abstract; the full text is not read.
Key points
- Intrusion Detection Systems (IDS) are crucial for maintaining data confidentiality, integrity, and availability against sophisticated cyber-attacks.
- Contemporary IDS are broadly classified into Signature-based (SIDS) and Anomaly-based (AIDS) methods.
- The survey reviews recent works, common datasets used for IDS evaluation, and techniques employed by attackers to evade detection.
- Future research challenges are discussed to develop more robust IDS and secure computer systems.
AI-generated from the title and abstract; the full text is not read.
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 evasion techniques used by attackers to avoid detection and discusses future research challenges to counter such techniques so as to make computer systems more secure.
The authors' abstract, as published at the source. Cybersecurity, 2019 · DOI ↗
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Field: Computer Networks and Communications
Computer Networks and CommunicationsComputer Science