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 …

[PDF][PDF] Pdf malware detection based on stacking learning.

M Issakhani, P Victor, A Tekeoglu, AH Lashkari - ICISSP, 2022 - pdfs.semanticscholar.org
Over the years, Portable Document Format (PDF) has become the most popular content
presenting format among users due to its flexibility and easy-to-work features. However …

Classifying sequences of extreme length with constant memory applied to malware detection

E Raff, W Fleshman, R Zak, HS Anderson… - Proceedings of the …, 2021 - ojs.aaai.org
Recent works within machine learning have been tackling inputs of ever increasing size,
with cyber security presenting sequence classification problems of particularly extreme …

Deep learning trends and future perspectives of web security and vulnerabilities

MS Chughtai, I Bibi, S Karim… - Journal of High …, 2024 - journals.sagepub.com
Web applications play a vital role in modern digital world. Their pervasiveness is mainly
underpinned by numerous technological advances that can often lead to misconfigurations …

Processing 2D barcode data with metaheuristic based CNN models and detection of malicious PDF files

M Toğaçar, B Ergen - Applied Soft Computing, 2024 - Elsevier
Abstract Portable Document Format (PDF) is a file format created to create portable and
printable documents across platforms. PDF files are one of the most widely used application …

MalJPEG: Machine learning based solution for the detection of malicious JPEG images

A Cohen, N Nissim, Y Elovici - IEEE Access, 2020 - ieeexplore.ieee.org
In recent years, cyber-attacks against individuals, businesses, and organizations have
increased. Cyber criminals are always looking for effective vectors to deliver malware to …

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 …

[PDF][PDF] Comparative analysis of machine learning models for PDF malware detection: Evaluating different training and testing criteria

B Khan, M Arshad, SS Khan - Journal of Cybersecurity, 2023 - researchgate.net
The proliferation of maliciously coded documents as file transfers increase has led to a rise
in sophisticated attacks. Portable Document Format (PDF) files have emerged as a major …

Malicious pdf detection based on machine learning with enhanced feature set

SY Yerima, A Bashar, G Latif - 2022 14th International …, 2022 - ieeexplore.ieee.org
PDF is one of the most popular document file formats due to its flexibility, platform
independence and ability to embed different types of content. Over the years, PDF has …

[HTML][HTML] Explainable ensemble learning based detection of evasive malicious pdf documents

SY Yerima, A Bashar - Electronics, 2023 - mdpi.com
PDF has become a major attack vector for delivering malware and compromising systems
and networks, due to its popularity and widespread usage across platforms. PDF provides a …