Chapter 5

A Swift Approach for Malware Detection

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


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


.Handbook of Mobile Application Development: A Guide to Selecting the Right Engineering and Quality Features.
.The Theory of Thin Antennas and Its Use in Antenna Engineering.
.Mathematics Applied in Information Systems.