JOURNAL ARTICLE

Analysing the Malware by using Checksum and Signature-Based Detection Techniques.

  • Published In: Grenze International Journal of Engineering & Technology (GIJET), 2023, v. 9, n. 2. P. 376 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Reddy, M. Manjunath; Raghava, S.; Tarun, N. Naga; Reddy, S. Chetan; Rao, G. Ramakoteswara; Chandra, J. Vijaya 3 of 3

Abstract

Malware has become an increasingly widespread security hazard to the internet in today's society. Malware is any harmful program that is designed to cause harm to the user. Malware analysis is critical for detecting, comprehending, and limiting the impacts of harmful software. It uses software and designs to attack weaknesses in computer systems, steal important information, and harm the system or network. It informs us about the features of malware such as viruses, worms, Trojans, and so on. Dynamic analysis and static analysis are the two divisions of malware analysis. The purpose of this research is to gain knowledge about the methods and techniques for analyzing and detecting malware effectively. In addition, this research discusses the various methodologies and types of software that are used in malware analysis. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Grenze International Journal of Engineering & Technology (GIJET). 2023/07, Vol. 9, Issue 2, p376
  • Document Type:Article
  • Subject Area:Computer Science
  • Publication Date:2023
  • ISSN:23955287
  • Accession Number:171360285
  • Copyright Statement:Copyright of Grenze International Journal of Engineering & Technology (GIJET) is the property of GRENZE Scientific Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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