A comprehensive survey on deep learning based malware detection techniques

M Gopinath, SC Sethuraman - Computer Science Review, 2023 - Elsevier
Recent theoretical and practical studies have revealed that malware is one of the most
harmful threats to the digital world. Malware mitigation techniques have evolved over the …

Machine learning algorithm for malware detection: Taxonomy, current challenges, and future directions

NZ Gorment, A Selamat, LK Cheng, O Krejcar - IEEE Access, 2023 - ieeexplore.ieee.org
Malware has emerged as a cyber security threat that continuously changes to target
computer systems, smart devices, and extensive networks with the development of …

A new malware detection model using emerging machine learning algorithms

A Dewanje, KA Kumar - International Journal of Electronics and …, 2021 - airitilibrary.com
Machine learning is a set of procedures that make the computer capable to learn without
being expressly programmed. In other words, the machine-learning algorithm detects and …

Analysis of machine learning models for malware detection

Rahul, P Kedia, S Sarangi, Monika - Journal of Discrete …, 2020 - Taylor & Francis
With the increasing importance of the internet and computers in the modern world, the task
of its maintenance and protection from the threats posed by malicious software has become …

A recent research on malware detection using machine learning algorithm: Current challenges and future works

NZ Gorment, A Selamat, O Krejcar - Advances in Visual Informatics: 7th …, 2021 - Springer
Each year, malware issues remain one of the cybersecurity concerns since malware's
complexity is constantly changing as the innovation rapidly grows. As a result, malware …

A knowledge-domain analyser for malware classification

OP Samantray, SN Tripathy - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Malware or malicious software is a serious threat from decades. Different malware detection
and analysis approaches have been developing, but new malware and evasion techniques …

[HTML][HTML] Evolutionary feature selection for machine learning based malware classification

G Kale, GE Bostancı, FV Çelebi - Engineering Science and Technology, an …, 2024 - Elsevier
Conducting thorough research, analysis, and detection of cyber-threatening malware with
the right parameters is crucial for safeguarding a country's security and economy …

[PDF][PDF] A comparative study on machine learning and deep learning methods for malware detection

E Ravi, MU Kumar - Journal of Theoretical and Applied Information …, 2022 - jatit.org
ABSTRACT The advent of Artificial Intelligence (AI) and data science with Machine Learning
(ML) and deep learning techniques has paved way for solving many real world problems …

Deep learning based residual attention network for malware detection in CyberSecurity

R Sharma, S Deshmukh, A Mannava… - 2022 6th International …, 2022 - ieeexplore.ieee.org
As the threat for viruses and malware is increasing so detecting them accurately is very
important. By studying and researching different papers, it is finally known that the main …

CPL-net: a malware detection network based on parallel CNN and LSTM feature fusion

J Lu, X Ren, J Zhang, T Wang - Electronics, 2023 - mdpi.com
Malware is a significant threat to the field of cyber security. There is a wide variety of
malware, which can be programmed to threaten computer security by exploiting various …