Survey on Heterogeneous Data for Recognizing Threat

Stiawan, Deris and Idris, Mohd. Yazid and Abdullah, Abdullah Hanan (2011) Survey on Heterogeneous Data for Recognizing Threat. Journal of Computational Information Systems, 7 (12). pp. 4212-4224.

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Abstract

Currently, much of the information is now in textual form, this information can be correlate and appropriate for solving problem on a particular problem. This could be data from the web, library data, logging, and past information that are stored as archives, these data can form a pattern of specific information. It gives a collection of datasets, we were asked to examine a sample of such data and look for pattern which may exist between certain pattern methods over time. In this paper, we showed a data mining approach to collecting scattered information in routine update regularly from provider or security community. This paper addresses problems and existing theories in possible future research in this field.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75 Electronic computers. Computer science
Divisions: 09-Faculty of Computer Science > 56401-Computer Engineering (D3)
Depositing User: Dr. Deris Stiawan
Date Deposited: 26 Sep 2019 06:15
Last Modified: 26 Sep 2019 06:15
URI: http://repository.unsri.ac.id/id/eprint/8329

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