Survey on Heterogeneous Data for Recognizing Threat
| Main Authors: | Stiawan, Deris, Idris, Mohd. Yazid, Abdullah, Abdullah Hanan |
|---|---|
| Format: | Article PeerReviewed application/pdf |
| Terbitan: |
Binary Information Press, Hongkong
, 2011
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| Subjects: | |
| Online Access: |
http://eprints.unsri.ac.id/73/1/2011_7_12_4212_4224.pdf http://www.jofcis.com/ http://eprints.unsri.ac.id/73/ |
Daftar Isi:
- 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.