Data Mining Analytics for Crime Security Investigation and Intrusion Detection

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Author(s): Boutheina A. Fessi (University of Carthage, Tunisia), Yacine Djemaiel (University of Carthage, Tunisia)and Noureddine Boudriga (University of Carthage, Tunisia)
Copyright: 2020
Pages: 26
Source title: Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-9866-4.ch035

Keywords: Computer Science & IT / Information Science Reference / Internet Technologies / IT Security and Ethics

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Abstract

This chapter provides a review about the usefulness of applying data mining techniques to detect intrusion within dynamic environments and its contribution in digital investigation. Numerous applications and models are described based on data mining analytics. The chapter addresses also different requirements that should be fulfilled to efficiently perform cyber-crime investigation based on data mining analytics. It states, at the end, future research directions related to cyber-crime investigation that could be investigated and presents new trends of data mining techniques that deal with big data to detect attacks.

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Data Mining Analytics for Crime Security Investigation and Intrusion Detection

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