CRNIAug 23, 2017

Understanding Modern Intrusion Detection Systems: A Survey

arXiv:1708.07174v25 citations
Originality Synthesis-oriented
AI Analysis

It is a survey paper that synthesizes existing knowledge for researchers and practitioners in information security, making it incremental by nature.

This paper provides a general overview of intrusion detection systems (IDS), including their classification, algorithms for detecting anomalous activities, and comparisons of intrusion techniques, without presenting new experimental results or specific numbers.

Intrusion detection systems (IDS) help detect unauthorized activities or intrusions that may compromise the confidentiality, integrity or availability of a resource. This paper presents a general overview of IDSs, the way they are classified, and the different algorithms used to detect anomalous activities. It attempts to compare the various methods of intrusion techniques. It also describes the various approaches and the importance of IDSs in information security.

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