IJIASE

INTERNATIONAL JOURNAL OF INNOVATIONS IN APPLIED SCIENCES & ENGINEERING

International Peer Reviewed (Refereed), Open Access Research Journal

(By Aryavart International University, India)

E-ISSN:2454-9258 | P-ISSN:2454-809X | Estd Year: 2015

Impact Factor(2021): 5.246 | Impact Factor(2022): 5.605

ABSTRACT

EVALUATING THE EFFECTIVENESS OF KEY ALGORITHMS OF PATTERN MATCHING TO ENHANCE THE EFFICACY OF BOYER-MOORE-HORSPOOL ALGORITHM AND RABIN KARP ALGORITHM IN MALICIOUS PROGRAM DETECTION

Ruchika Goel

Vol. 4, Jan-Dec 2018

Page Number: 145 - 152

Abstract:

Computer viruses are serious threats to society. There are numerous procedures that are used for resolving this downside. Our purpose here is to create a collective look on numerous pattern matching approaches that are employed in the domain of malicious program detection and mitigation. In virus detection, the program starts matching with some known or trained patterns which tell us that the attack has been done. Keywords: Pattern Matching Algorithms

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R. Janani* and S. Vijayarani IJST, Vol 9(43), DOI: 10.17485/ijst/2016/v9i43/95454, November 2016

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