A study on malicious software behaviour analysis and detection techniques: Taxonomy, current trends and challenges

P Maniriho, AN Mahmood, MJM Chowdhury - Future Generation Computer …, 2022 - Elsevier
There has been an increasing trend of malware release, which raises the alarm for security
professionals worldwide. It is often challenging to stay on top of different types of malware …

[PDF][PDF] Detecting Obfuscated Malware using Memory Feature Engineering.

T Carrier, P Victor, A Tekeoglu, AH Lashkari - Icissp, 2022 - scitepress.org
Memory analysis is critical in detecting malicious processes as it can capture various
characteristics and behaviors. However, while there is much research in the field, there are …

Catch them alive: A malware detection approach through memory forensics, manifold learning and computer vision

AS Bozkir, E Tahillioglu, M Aydos, I Kara - Computers & Security, 2021 - Elsevier
The everlasting increase in usage of information systems and online services have triggered
the birth of the new type of malware which are more dangerous and hard to detect. In …

Malware detection using memory analysis data in big data environment

M Dener, G Ok, A Orman - Applied Sciences, 2022 - mdpi.com
Malware is a significant threat that has grown with the spread of technology. This makes
detecting malware a critical issue. Static and dynamic methods are widely used in the …

A comprehensive study of cloud forensics

P Purnaye, V Kulkarni - Archives of Computational Methods in …, 2022 - Springer
Cloud Computing has many facets to it which makes it diverse. Investigation of a cyber-crime
that involves the cloud as a subject, object, or as an environment, is cloud forensics …

Leveraging malicious behavior traces from volatile memory using machine learning methods for trusted unknown malware detection in Linux cloud environments

T Panker, N Nissim - Knowledge-Based Systems, 2021 - Elsevier
Most organizations today use cloud-computing environments and virtualization technology.
Linux-based clouds are the most popular cloud environments among organizations, and …

Memory forensics-based malware detection using computer vision and machine learning

SSH Shah, AR Ahmad, N Jamil, AR Khan - Electronics, 2022 - mdpi.com
Malware has recently grown exponentially in recent years and poses a serious threat to
individual users, corporations, banks, and government agencies. This can be seen from the …

Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments

T Landman, N Nissim - Neural Networks, 2021 - Elsevier
Since the beginning of the 21st century, the use of cloud computing has increased rapidly,
and it currently plays a significant role among most organizations' information technology …

Efficient feature extraction methodologies for unknown MP4-Malware detection using Machine learning algorithms

T Tsafrir, A Cohen, E Nir, N Nissim - Expert Systems with Applications, 2023 - Elsevier
We are living in an era in which daily interaction between individuals and businesses
involves sending, uploading, and sharing videos as a means of communication and …

Research trends in deep learning and machine learning for cloud computing security

YI Alzoubi, A Mishra, AE Topcu - Artificial Intelligence Review, 2024 - Springer
Deep learning and machine learning show effectiveness in identifying and addressing cloud
security threats. Despite the large number of articles published in this field, there remains a …