Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/305
Title: | A New Methodology Based on Cloud Computing for Efficient Virus Detection |
Authors: | Memos, Vasileios A. Psannis, Kostas E. |
Editors: | Elleithy, K. Sobh, T. |
Type: | Book chapter |
Subjects: | FRASCATI::Engineering and technology |
Keywords: | antivirus techniques evaluation cloud technology sandboxing method system-changes-based signatures |
Issue Date: | 2015 |
Publisher: | Springer |
Volume: | 312 |
First Page: | 37 |
Last Page: | 47 |
Volume Title: | New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering |
Part of Series: | Lecture Notes in Electrical Engineering |
Part of Series: | Lecture Notes in Electrical Engineering |
Abstract: | Antivirus software programs use specific techniques to detect computer viruses, malware and other network threats. The basic, most common and oldest antivirus detection technique is “virus signature scanning”, whereby antivirus programs use unique byte sequences for each virus so as to identify potential presence of malicious code in each file investigation procedure. Despite its advantages, this technique has many weaknesses that are highlighted in this paper. In lieu, this paper proposes a new hybrid security model for optimized protection and better virus detection, which merges the “Sandboxing Method”, “System-Changes-based Signatures” and “Cloud Computing”. |
URI: | https://doi.org/10.1007/978-3-319-06764-3_6 https://ruomo.lib.uom.gr/handle/7000/305 |
ISBN: | 978-3-319-06763-6 978-3-319-06764-3 |
ISSN: | 1876-1100 1876-1119 |
Other Identifiers: | 10.1007/978-3-319-06764-3_6 |
Appears in Collections: | Department of Applied Informatics |
Files in This Item:
File | Description | Size | Format | |
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LNEE.pdf | A New Methodology Based on Cloud Computing for Efficient Virus Detection | 724,81 kB | Adobe PDF | View/Open |
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