Efficient Approach for Malware Detection Using Machine Learning Classifier

UV Nikam, VM Deshmukh - International Conference on Computational …, 2022 - Springer
From the last few years, everybody is blindly relying on technology. Use of smart gadgets
has grown rapidly in our day-to-day life. This has motivated attackers to build and spread …

Malware Analysis Using Machine Learning

B Karampudi, DM Phanideep, VMK Reddy… - … on Intelligent Systems …, 2022 - Springer
Malware is a malicious software that attempts to steal or infect a code or file as per the
intention of the attacker. Effective detection methods are essential for security and malware …

and S. Muthulakshmi Vellore Institute of Technology, Chennai, India subhashini. n@ vit. ac. in

B Karampudi, DM Phanideep… - … Systems Design and …, 2023 - books.google.com
Malware is a malicious software that attempts to steal or infect a code or file as per the
intention of the attacker. Effective detection methods are essential for security and malware …

Comparison of malware detection model using supervised machine learning algorithms

S Mohd Shahirudin - 2022 - ir.uitm.edu.my
Because of various security concerns and cyberattacks, cybersecurity is crucial in today's
environment. In addition, malware has evolved quickly in recent years. Machine learning is …

[PDF][PDF] Comparison of malware detection techniques using machine learning algorithm

N Selamat, F Ali - Indones. J. Electr. Eng. Comput. Sci, 2019 - pdfs.semanticscholar.org
Currently, the volume of malware grows faster each year and poses a thoughtful global
security threat. The number of malware developed increases as computers became …

Comparative Analysis of Various Machine Learning Algorithms for Detection of Malware and Benign

S Mohi ud din, F Rizvi, N Sharma… - International Advanced …, 2022 - Springer
The expansion of the cyberspace world has paved the way for numerous attacks and
misuses of online resources and networks. For instance, malware is the prime cause of data …

[PDF][PDF] A Supervised Machine Learning Algorithm for Detecting Malware

OA Ayeni - 2022 - academia.edu
The proliferation of malware is a threat to our computing system and its security. That is why
the need for malware detection using machine learning arises. This work was motivated by …

Comparison of Support Vector Machine and Random Forest Method on Static Analysis Windows Portable Executable (PE) Malware Detection

H Ismail, RG Utomo… - JURNAL MEDIA …, 2024 - stmik-budidarma.ac.id
Malware has emerged as a significant concern for computer system security, as it spreads
rapidly and adversely affects system performance. Detecting malware has become crucial …

Forensic malware identification using naive bayes method

B Ramadhan, Y Purwanto… - … Systems and Innovation …, 2020 - ieeexplore.ieee.org
Malware is a kind of software that, if installed on a malware victim's device, might carry
malicious actions. The malicious actions might be data theft, system failure, or denial of …

[引用][C] Analysis of Malware Detection Using Naive Bayes Algorithm Comparing Support Vector Machine Algorithm.

BMM Reddy, P Sriramya - Baltic Journal of Law & Politics, 2022