Machine learning techniques for malware detection with challenges and future directions

MA Alqahtani - International Journal of Communication …, 2021 - search.proquest.com
In the recent times Cybersecurity is the hot research topic because of its sensitivity.
Especially at the times of digital world where everything is now transformed into digital …

[HTML][HTML] Malware analysis and detection using machine learning algorithms

MS Akhtar, T Feng - Symmetry, 2022 - mdpi.com
One of the most significant issues facing internet users nowadays is malware. Polymorphic
malware is a new type of malicious software that is more adaptable than previous …

[PDF][PDF] A Methodological Study on Malware Analysis

H Panwala - International Journal for Research in Applied Science …, 2021 - academia.edu
Malware is an executable binary that is designed to be malicious. Malware can be used by
attackers to carry out a range of malicious operations, such as spying on the victim using …

[PDF][PDF] Malware detection using data mining Naïve Bayesian classification technique with worm dataset

O Qasim, K Al-Saedi - Int. J. Adv. Res. Comput. Commun. Eng, 2017 - researchgate.net
According to numerous increasing of worm malware in the networks nowadays, it became a
serious danger that threatens our computers. Networks attackers did these attacks by …

Classification of malware using reverse engineering and data mining techniques

RR Ravula - 2011 - rave.ohiolink.edu
Detecting new and unknown malware is a major challenge in today's software security
profession. A lot of approaches for the detection of malware using data mining techniques …

[PDF][PDF] Malware detection using decision tree algorithm based on memory features engineering

A Nugraha, J Zeniarja - J Appl Intell Syst, 2022 - academia.edu
Malware is malicious software that can harm, manipulate, steal from victim's device system.
Due to the diverse needs of using internet services, security threats are also increasingly …

Malware detection using deep learning algorithms

M Altaiy, İ Yıldız, B Uçan - AURUM Journal of Engineering Systems …, 2023 - dergipark.org.tr
Background/aim: The aim of this study is to benefit from deep learning algorithms in the
classification of malware. It is to determine the most effective classification algorithm by …

[PDF][PDF] An Analysis of Feature Selection Method in Mobile Malware Detection

P Girdhar, D Virmani - International Journal of Engineering Applied Sciences … - ijeast.com
Malware detection systems help in filtering the mobile applications and determine if it has
malicious intent or not. The mobile applications used by the user are driven by a number of …

[PDF][PDF] Using Machine Learning Algorithms to Detect Malware by Applying Static and Dynamic Analysis Methods

J Palša, J Hurtuk, M Chovanec… - Acta Polytechnica …, 2022 - acta.uni-obuda.hu
This paper focuses on malware analysis and detection using machine learning methods.
The aim of the authors was to perform static and dynamic analysis of programs designed for …

A comparative study of machine learning models for malware detection

E Mushtaq, F Shahid, A Zameer - 2022 19th International …, 2022 - ieeexplore.ieee.org
Malware propagation induce a serious threat to computer security, which requires
continuous detection, analysis, and up-gradation of anti-virus programs. Numerous malware …