Malware detection using ML
Author(s):
Megha Nayanshi, Km Gunjan, Sony Saini, Dr. Ankit Kumar
DOI Number:
withdrawed
Keywords:
Abstract
Malware is a set of different programs or any software which has a primary aim of trying to cause the damage/harm to a computer, computer network, client, or a server. Malware starts damaging the system after it is introduced into the target's computer and it can take any form such as scripts, so-called "active content" (Microsoft Windows), code which can directly execute and/or other forms of data. There are some malwares that are mostly referred as computer viruses, Trojan horses, scareware, ransomware, adware, spyware, and worms etc. To investigate that how we can implement machine learning technique on malware detection for the purpose of detecting any unknown malware, for developing a software that implements machine learning for detecting the unfamiliar malware & to validate that. Malware detection that uses machine learning will be capable to obtain high accuracy rate with the less false positive rate
Article Details
Unique Paper ID: 151468

Publication Volume & Issue: Volume 8, Issue 1

Page(s): 67 - 71
Article Preview & Download


Share This Article

Conference Alert

ICM - STEP

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies