Latest Fundamental Syntax for Detecting Virus Signature

Authors(1) :-Soumen Chakraborty

This paper provides centralized information containing reference records and estimating strategies for some of the key variables for figuring out risks and losses will help to offer a stronger case for safety improvement to control. A discussion of strategies for the valuation of actual and intangible assets will assist to quantify the largest records safety risk in ., that is theft of proprietary. Additional recognition is positioned on crucial risk regions, the usage of a centralized facts desk containing reference facts and estimating techniques for a number of the key variables for determining dangers and losses will help to offer a more potent case for security improvement to control. A dialogue of strategies for the valuation of exact and intangible property will assist to quantify the biggest statistics protection danger , which is theft of proprietary statistics Additional recognition is placed on vital hazard areas such as net security, foreign places safety worries, and pc safety. This paper should additionally help an IT safety representative to achieve new business through the advent of a nicely written quantitative danger analysis.

Authors and Affiliations

Soumen Chakraborty
Department of Information Technology, MCKV Institute of Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal, India

Computer Ready Sets, Syntax, Antivirus, scanning, protection coverage

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Publication Details

Published in : Volume 2 | Issue 1 | January-February 2017
Date of Publication : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 202-208
Manuscript Number : CSEIT172135
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Soumen Chakraborty, "Latest Fundamental Syntax for Detecting Virus Signature", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 1, pp.202-208, January-February.2017
URL : http://ijsrcseit.com/CSEIT172135

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