A Comprehensive Survey of Event Analytics

Author:

Gidwani T.1,Argano M. J.1,Yan W.1,Issa F.1

Affiliation:

1. AUT University, New Zealand

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.

Publisher

IGI Global

Subject

Software

Reference83 articles.

1. Abbott, J., Bell, J., Clark, A., Vel, O. D., & Mohay, G. (2006). Automated recognition of event scenarios for digital forensics. In Proceedings of the ACM Symposium on Applied Computing (pp. 293-300).

2. Systematic digital forensic investigation model.;A.Agarwal;International Journal of Computer Science and Security,2009

3. Bates, M. (2009). An architecture to support storage and retrieval of events. In Proceedings of the IFIP International Conference on Distributed Systems Platforms and Open Distributed (pp. 443-458).

4. Bell, C. R. (2007). Event monitoring comes of age: 'Predict and prevent' as well as 'find and fix.' In Proceedings of the IET International Conference on Railway Condition Monitoring (pp. 44-47).

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