Mohammed Hasan, Ali and Mohamad Fadli, Zolkipli (2018) Intrusion-Detection System Based on Fast Learning Network in Cloud Computing. Advanced Science Letters, 24 (10). pp. 7360-7363. ISSN 1936-6612. (Published)
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Abstract
Detection of attacks in the computers and networks keeps being the pertinent and challenging area of researchers. Intrusion-Detection System is an essential technology of Network Security. Currently, Intrusion Detection still faces some challenges like huge amounts of data to process, high averages of false alarms and low detection rates., especially in cloud environment which more vulnerable to attacks. This paper includes an overview of the intrusion-detection system and introduces to the reader some fundamental concepts of IDS work in cloud computing, also propose a new algorithm Fast Learning Network to work based on an intrusion detection.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Fast Learning Network; ELM; Intrusion Detection System |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 20 Feb 2018 06:00 |
| Last Modified: | 12 Nov 2018 04:27 |
| URI: | http://umpir.ump.edu.my/id/eprint/19618 |
| Download Statistic: | View Download Statistics |
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