Artificial neural network and partial pattern recognition to detect malware

Aparna Gautam, Rajesh Gopakumar, G. Deepa

Research output: Chapter in Book/Report/Conference proceedingChapter


Cyber Security is a challenging research area nowadays because of the continuously increasing dependency of people on the Internet for day-to-day activities. Secure data transfer is a critical matter of concern for users while using the Internet. Secure data transfer demands that the data should be from a reliable and authenticated source. Secure data transfer is essential to avoid malicious code variants or software aka hidden malware. Detecting malware is a critical task as the current generation malware uses rapidly evolving techniques, and gets hidden in a genuine-looking file. However, malware detection can get a lot more progress if we deploy a machine learning technique, such as Deep learning for this purpose.

Original languageEnglish
Title of host publicationLecture Notes in Electrical Engineering
PublisherSpringer Gabler
Number of pages8
Publication statusPublished - 2020

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering


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