[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 …

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 …

Automated android malware detection using optimal ensemble learning approach for cybersecurity

H Alamro, W Mtouaa, S Aljameel, AS Salama… - IEEE …, 2023 - ieeexplore.ieee.org
Current technological advancement in computer systems has transformed the lives of
humans from real to virtual environments. Malware is unnecessary software that is often …

A method for automatic android malware detection based on static analysis and deep learning

M İbrahim, B Issa, MB Jasser - IEEE Access, 2022 - ieeexplore.ieee.org
The computers nowadays are being replaced by the smartphones for the most of the internet
users around the world, and Android is getting the most of the smartphone systems' market …

Metaheuristics with deep learning model for cybersecurity and Android malware detection and classification

A Albakri, F Alhayan, N Alturki, S Ahamed… - Applied Sciences, 2023 - mdpi.com
Since the development of information systems during the last decade, cybersecurity has
become a critical concern for many groups, organizations, and institutions. Malware …

[Retracted] A Comprehensive Review of Android Security: Threats, Vulnerabilities, Malware Detection, and Analysis

S Acharya, U Rawat… - Security and …, 2022 - Wiley Online Library
The popularity and open‐source nature of Android devices have resulted in a dramatic
growth of Android malware. Malware developers are also able to evade the detection …

Android malware detection methods based on convolutional neural network: A survey

L Shu, S Dong, H Su, J Huang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Android malware detection (AMD) is a challenging task requiring many factors to be
considered during detection, such as feature extraction and processing, performance …

AMD‐CNN: Android malware detection via feature graph and convolutional neural networks

RS Arslan, M Tasyurek - Concurrency and Computation …, 2022 - Wiley Online Library
Android malware has become a serious threat to mobile device users, and effective
detection and defence architectures are needed to solve this problem. Recently, machine …

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 …

[HTML][HTML] Multi-labeling of complex, multi-behavioral malware samples

P García-Teodoro, JA Gómez-Hernández… - Computers & …, 2022 - Elsevier
The use of malware samples is usually required to test cyber security solutions. For that, the
correct typology of the samples is of interest to properly estimate the exhibited performance …