Malware Inputs Detection Approach (Tool) based on Machine Learning [MIDT-SVM]

R Rawat, M Chouhan, B Garg, S TELANG… - Available at SSRN …, 2021 - papers.ssrn.com
The internet plays a significant part in our daily lives. It has become an integral part of
everyone's daily routine or way of life. The Dark Web is a virtually unidentifiable hidden layer …

[PDF][PDF] Detection and Analysis of Web-based Malware and Vulnerability

W Junjie - 2018 - personal.ntu.edu.sg
The Internet is increasingly changing how we conduct our daily routines. Day-to-day
operations that only can be done through personal contact before, such as banking …

Analysis and Detection of Malware using Machine Learning

NC Brintha, S Abinivesh, A Sivadasan… - … Computing and Data …, 2023 - ieeexplore.ieee.org
Currently technology has grown at an exponential rate and at the same time it has also
introduced its own vulnerabilities. Cyber-attacks on huge IT companies creates a negative …

Web-Based Threat Identification Using Classification Algorithm

P Kruthika, AA Azis, FA Gaffar, D Abinath… - … Conference on Data …, 2023 - Springer
The word “malware” refers to an intent to harm. In order to harm the end user, a malware
website spreads malware, infects the victim's system, and steals important information. In the …

Detection of malicious websites using machine learning approach and web vulnerability scanner

M Anjaneyulu, B Madhuravani, P Devika - AIP Conference …, 2023 - pubs.aip.org
Now a days the technology has been within our fingers which play the most valid role in day-
to-day cycle. For Attracting clients, there are various web dealers which have a huge …

Malware Detection Using Machine Learning Techniques

AY Sai, B Neela Konda Reddy, K Amarendra… - Smart Data Intelligence …, 2022 - Springer
Malware detection and identification are the primary factor for many enterprise applications
to provide security to data of an organization and end-to-end monitoring of the resources …

[PDF][PDF] Malicious malware detection using machine learning perspectives

TO Awodiji, KY Williamsburg - Journal of Information Engineering …, 2022 - academia.edu
The opportunity for potential attackers to use more advanced techniques to exploit more
people who are online is growing. These methods include getting visitors to click on …

[PDF][PDF] A Deep Learning Based Approach for Malware Detection and Classification

OE Taylor, PS Ezekiel, DJS Sako - iJournals: International Journal …, 2021 - researchgate.net
Vindictive programming or malware represents a significant source of security concern in
this cutting-edge age as computer clients, companies, and governments witness an …

Comparison on Machine Learning Algorithm to fast detection of Malicious Web pages

WNW Manan, MNM Kahar… - … Conference on Software …, 2021 - ieeexplore.ieee.org
The advance growth of technology today, has simply brought to the increasing of the Internet
and online activities such as in business, management, education and other areas …

Detection and Classification of Malware for Cyber Security using Machine Learning Algorithms

S Judy, R Khilar - 2023 Eighth International Conference on …, 2023 - ieeexplore.ieee.org
The threat of malware to information security is one that keeps growing. However, the
Windows operating system faces a very high level of unintended security risk. System …