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Erschienen in:
BORM-II and UML as Accessibility Process in Knowledge and Business Modelling Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

A New Methodology Based on Cloud Computing for Efficient Virus Detection

verfasst von : Vasileios A. Memos, Kostas E. Psannis

Erschienen in: New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering

Verlag: Springer International Publishing

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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”.

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Metadaten
Titel
A New Methodology Based on Cloud Computing for Efficient Virus Detection
verfasst von
Vasileios A. Memos
Kostas E. Psannis
Copyright-Jahr
2015
Buch
New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering

Print ISBN: 978-3-319-06763-6

Electronic ISBN: 978-3-319-06764-3

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-06764-3_6

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