Research on Heteregeneous Data for Recognizing Threat

Stiawan, Deris and Idris, Mohd. Yazid and Abdullah, Abdullah Hanan (2011) Research on Heteregeneous Data for Recognizing Threat. In: International Conference on Software & Data Technologies (ICSOFT), 18-20 July 2011., Sevile, Spain.

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Abstract

The information increasingly large of volume dataset and multidimensional data has grown rapidly in recent years. Inter-related and update information from security communities or vendor network security has present of content vulnerability and patching bug from new attack (pattern) methods. It given 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. There are several challenges, including handling dynamic data, sparse data, incomplete data, uncertain data, and semistructured / unstructured data. In this paper, we are addressing these challenges and using data mining approach to collecting scattered information in routine update regularly from provider or security community.

Item Type: Conference or Workshop Item (Paper)
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/8332

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