Data Mining Analytics for Crime Security Investigation and Intrusion Detection-Reference-Cited by-同舟云学术

Data Mining Analytics for Crime Security Investigation and Intrusion Detection

Published:2020 Issue: Volume: Page:700-725
ISSN:
Container-title:Securing the Internet of Things
language:
Short-container-title:

Author:

Fessi Boutheina A.¹,Djemaiel Yacine²,Boudriga Noureddine¹

Affiliation:

1. University of Carthage, Tunisia

2. CN&S, University of Carthage, Tunisia

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.

Publisher

IGI Global

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