A Comprehensive Survey of Event Analytics

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Author(s): T. Gidwani (AUT University, New Zealand), M. J. Argano (AUT University, New Zealand), W. Yan (AUT University, New Zealand)and F. Issa (AUT University, New Zealand)
Copyright: 2013
Pages: 15
Source title: Emerging Digital Forensics Applications for Crime Detection, Prevention, and Security
Source Author(s)/Editor(s): Chang-Tsun Li (University of Warwick, UK)
DOI: 10.4018/978-1-4666-4006-1.ch012

Keywords: Digital Crime & Forensics / Information Science Reference / IT Security and Ethics / Security & Forensics

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Abstract

Analytics has emerged as an important area of study as it avoids further incidents or risks after the events have occurred; this is done by analysing computer events and making further statistics. The purpose of this survey is to gain knowledge for the authors’ own event knowledge database which will consist of how unusual events work and how they are related to other events. The algorithms mentioned in this paper have been used to build their future development, resulting in a knowledge database designed to be similar to an internet browser engine where it can search events and their relationships. The research and algorithms have helped the authors to decide on the technology they will be using for the knowledge database.

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