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

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