Deep learning methods for malware and intrusion detection: A systematic literature review

R Ali, A Ali, F Iqbal, M Hussain… - Security and …, 2022 - Wiley Online Library
Android and Windows are the predominant operating systems used in mobile environment
and personal computers and it is expected that their use will rise during the next decade …

Applications of deep learning for mobile malware detection: A systematic literature review

C Catal, G Giray, B Tekinerdogan - Neural Computing and Applications, 2022 - Springer
For detecting and resolving the various types of malware, novel techniques are proposed,
among which deep learning algorithms play a crucial role. Although there has been a lot of …

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 …

Recent innovations and comparison of deep learning techniques in malware classification: a review

B Yadav, S Tokekar - International Journal of Information Security …, 2021 - dergipark.org.tr
The internet made an individual's life very easy and more productive, but there are some
associated threats linked to the internet and devices. Malware is considered the most severe …

Hybrid Deep Learning Approach Based on LSTM and CNN for Malware Detection

P Thakur, V Kansal, V Rishiwal - Wireless Personal Communications, 2024 - Springer
Malware analysis is essential for detecting and mitigating the effects of malicious software.
This study introduces a novel hybrid approach using a combination of long short-term …

A survey of recent advances in deep learning models for detecting malware in desktop and mobile platforms

P Maniriho, AN Mahmood, MJM Chowdhury - ACM Computing Surveys, 2024 - dl.acm.org
Malware is one of the most common and severe cyber threats today. Malware infects
millions of devices and can perform several malicious activities including compromising …

A survey on malware detection with deep learning

M Sahin, S Bahtiyar - 13th international conference on security of …, 2020 - dl.acm.org
Rapid development of Internet and technology has emerged a bunch of evolving malware
and attack strategies. Therefore researchers focused on machine learning and deep …

[HTML][HTML] The rise of machine learning for detection and classification of malware: Research developments, trends and challenges

D Gibert, C Mateu, J Planes - Journal of Network and Computer …, 2020 - Elsevier
The struggle between security analysts and malware developers is a never-ending battle
with the complexity of malware changing as quickly as innovation grows. Current state-of-the …

[HTML][HTML] A survey of malware detection using deep learning

A Bensaoud, J Kalita, M Bensaoud - Machine Learning With Applications, 2024 - Elsevier
The problem of malicious software (malware) detection and classification is a complex task,
and there is no perfect approach. There is still a lot of work to be done. Unlike most other …

Detecting the presence of malware and identifying the type of cyber attack using deep learning and VGG-16 techniques

AIA Alzahrani, M Ayadi, MM Asiri, A Al-Rasheed… - Electronics, 2022 - mdpi.com
malware is malicious software (harmful program files) that targets and damage computers,
devices, networks, and servers. Many types of malware exist, including worms, viruses …