Chapter 5

A Swift Approach for Malware Detection

S. Hasnain Pasha, Deepti Mehrotra, Abhishek Srivastava* and Chetna Choudhary

Abstract

Malware Detection is imperative in cybersecurity. With the increasing rate of cyber crime incidents, it has now become the priority in the cyber security domain. Different machine learning concepts are implemented for detecting malware, hence dealing with a large number of datasets. This gives researchers a reason to focus on reducing parameters in the datasets that have little or no impact on detection accuracy and improve detection time. This paper attempts to implement one such technique to optimize data sets for quick results.

Total Pages: 49-57 (9)

Purchase Chapter  Book Details

RELATED BOOKS

.AIoT and Big Data Analytics for Smart Healthcare Applications.
.Basics of Python Programming: A Quick Guide for Beginners.
.Amazon Web Services: The Definitive Guide for Beginners and Advanced Users.
.The Role of AI in Enhancing IoT-Cloud Applications.