UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 10
October-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2110419


Registration ID:
316050

Page Number

e34-e40

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Title

Hash-AV: Fast Virus Signature Scanning by Cache-Resident Filters

Abstract

As today’s world is moving from offline to online all the process now are been done with the help of computer’s, any data we require is present on the internet so it’s a challenging task to develop a system that will provide search Fast Hash AV algorithm to Scan virus signatures online. Hence we present a system that will provide the Virus scanning technique that will scan the system for the virus very quickly by using the concept of bloom filter and many other different databases, where accuracy and efficiency are most important terms required. This paper proposes Hash-AV, a virus scanning “booster” technique that aims to take advantage of improvements in CPU performance. Various analyses shows user is not restricted to formulate any kind of query so this system provides result to users any type of query he fires to the system accurately and efficiently, even if any user make a signature mistake the system will automatically identify the virus in the system. The key to Hash-AV’s success lies in a set of “bad but cheap” hash functions that are used as initial hashes.

Key Words

Hash-AV, Antivirus, Clam AV

Cite This Article

"Hash-AV: Fast Virus Signature Scanning by Cache-Resident Filters", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.e34-e40, October-2021, Available :http://www.jetir.org/papers/JETIR2110419.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Hash-AV: Fast Virus Signature Scanning by Cache-Resident Filters", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppe34-e40, October-2021, Available at : http://www.jetir.org/papers/JETIR2110419.pdf

Publication Details

Published Paper ID: JETIR2110419
Registration ID: 316050
Published In: Volume 8 | Issue 10 | Year October-2021
DOI (Digital Object Identifier):
Page No: e34-e40
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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