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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Acknowledgement
This work was supported in part by the Research Committee of the University of Macedonia, Greece, under grant 80749 for the advance of Basic Research.
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Memos, V.A., Psannis, K.E. (2015). A New Methodology Based on Cloud Computing for Efficient Virus Detection. In: Elleithy, K., Sobh, T. (eds) New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering. Lecture Notes in Electrical Engineering, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-06764-3_6
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DOI: https://doi.org/10.1007/978-3-319-06764-3_6
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