A Cloud-Based Energy Efficient System for Enhancing the Detection and Prevention of Modern Malware

Ali Mirza, Qublai Khan ORCID: 0000-0003-3403-2935, Mohi-Ud-Din, Ghulam and Awan, Irfan (2016) A Cloud-Based Energy Efficient System for Enhancing the Detection and Prevention of Modern Malware. In: 2016 IEEE 30th International Conference on Advanced Information Networking and Applications, 23-25 March 2016, Crans-Montana, Switzerland.

Full text not available from this repository.

Abstract

In today’s modern world, a simple malware attack can result catastrophically and can cause havoc. In spite of numerous types of antiviruses available in the market, there is a dearth in detection techniques of these antiviruses. This paper proposes a complete system, which is a combination of conventional and new techniques for detecting malware. We first evaluate the antiviruses against 10,000+ malware samples to highlight their weaknesses and then propose, implement, and benchmark the cloud-based system against some defined parameters. We have tested the effectiveness and efficiency of the proposed system by monitoring the detection rate and processing power it consumes in order to operate in a host machine.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	PE files; Cloud-based; Malware; Energy efficient; Malware detection; Cyber-attacks; Antiviruses; vulnerabilities; PEFrame
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas:	Applied Business & Technology
Depositing User:	Susan Turner
Date Deposited:	15 Feb 2018 16:42
Last Modified:	31 Aug 2023 08:01
URI:	https://eprints.glos.ac.uk/id/eprint/5385

University Staff: Request a correction | Repository Editors: Update this record