Mas'ud, Mohd Zaki and M. A, Faizal and Y., Asrul Hadi and N.M., Ahmad and Hamid , Erman (2011) Virtual Machine Based Autonomous Web Server. In: First IRAST International Conference on Data Engineering and Internet Technology (DEIT) , -, -. (Submitted)
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VIRTUAL MACHINE BASED AUTONOMOUS WEB SERVER-MOHD ZAKI-MAK 00783 RAF.pdf Download (3MB) |
Abstract
Enterprises are turning to Internet technology to circulate information, interact with potential customers and establish an e-commerce business presence. These activities are depending highly on Web server and maintaining good sewer security has been a requirement for avoiding any malicious attacks especially web defacements and malware. Web server administrators should be alert and attentive to the status of the server at all time. They need to be persistent in monitoring the server in order to detect any attempted attacks. This is an advantage for a web sewer that is maintained by a big company that has a big budget to hire a knowledgeable web server administrator, for a new established small company it will only burden their expenses. To overcome this problem, this paper proposes a low cost system called Autonomous Web Server Administrator (AWSA) that is fully developed using open source software. AWSA combines several computing concepts such as Virtual Machine, Intrusion Detection System and Checksum. AWSA offers a Virtual Machine based Web server that has the ability to automatically detect intrusions and reconstruct corrupted data or the file system without any human intervention.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Local area networks (Computer networks), System design, Computer networks, Virtual computer systems |
| Subjects: | T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Information and Communication Technology > Department of System and Computer Communication |
| Depositing User: | Muhammad Afiz Ahmad |
| Date Deposited: | 14 Dec 2017 03:03 |
| Last Modified: | 14 Dec 2017 03:03 |
| URI: | http://eprints.utem.edu.my/id/eprint/20113 |
| Statistic Details: | View Download Statistic |
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