Intrusion detection system

An intrusion detection system (IDS; also intrusion prevention system or IPS) is a device or software application that monitors a network or systems for malicious activity or policy violations.[1] Any intrusion activity or violation is typically either reported to an administrator or collected centrally using a security information and event management (SIEM) system. A SIEM system combines outputs from multiple sources and uses alarm filtering techniques to distinguish malicious activity from false alarms.[2]

IDS types range in scope from single computers to large networks.[3] The most common classifications are network intrusion detection systems (NIDS) and host-based intrusion detection systems (HIDS). A system that monitors important operating system files is an example of an HIDS, while a system that analyzes incoming network traffic is an example of an NIDS. It is also possible to classify IDS by detection approach. The most well-known variants are signature-based detection (recognizing bad patterns, such as malware) and anomaly-based detection (detecting deviations from a model of "good" traffic, which often relies on machine learning). Another common variant is reputation-based detection (recognizing the potential threat according to the reputation scores). Some IDS products have the ability to respond to detected intrusions. Systems with response capabilities are typically referred to as an intrusion prevention system.[4] Intrusion detection systems can also serve specific purposes by augmenting them with custom tools, such as using a honeypot to attract and characterize malicious traffic.[5]

  1. ^ "What is an Intrusion Detection System (IDS)?". Check Point Software Technologies. 2023. Retrieved 27 December 2023.
  2. ^ Martellini, Maurizio; Malizia, Andrea (2017-10-30). Cyber and Chemical, Biological, Radiological, Nuclear, Explosives Challenges: Threats and Counter Efforts. Springer. ISBN 9783319621081.
  3. ^ Axelsson, S (2000). "Intrusion Detection Systems: A Survey and Taxonomy" (retrieved 21 May 2018)
  4. ^ Newman, R.C. (23 June 2009). Computer Security: Protecting Digital Resources. Jones & Bartlett Learning. ISBN 978-0-7637-5994-0. Retrieved 27 December 2023.
  5. ^ Mohammed, Mohssen; Rehman, Habib-ur (2015-12-02). Honeypots and Routers: Collecting Internet Attacks. CRC Press. ISBN 9781498702201.

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