Results 1 to 10 of about 2,674 (132)

Static Malware Detection Using Stacked BiLSTM and GPT-2

IEEE Access, 2022
In recent years, cyber threats and malicious software attacks have been escalated on various platforms. Therefore, it has become essential to develop automated machine learning methods for defending against malware.
Deniz Demirci, Nazenin Sahin, Melih Sirlancis, Cengiz Acarturk   +3 more
doaj   +3 more sources

HybFusion: A holistic Android malware detection framework with advanced feature fusion and ensemble learning. [PDF]

PLoS ONE
Android malware detection remains a critical challenge due to the rapid increase in malware variants and the growing sophistication of obfuscation techniques.
Vu Minh Manh, Cho Do Xuan, Nguyen Thi Khanh Van   +2 more
doaj   +2 more sources

Advanced behavioral malware detection: a comprehensive MLOps framework with federated learning and real-time drift detection [PDF]

Frontiers in Artificial Intelligence
This paper presents a comprehensive MLOps framework for behavioral malware detection that addresses critical challenges in generalization, collaboration, and operational resilience.
Mohammed El-Hajj, Mohammad Al Jawad Zeineddine   +1 more
doaj   +2 more sources

MalFuzz: Coverage-guided fuzzing on deep learning-based malware classification model.

PLoS ONE, 2022
With the continuous development of deep learning, more and more domains use deep learning technique to solve key problems. The security issues of deep learning models have also received more and more attention.
Yuying Liu, Pin Yang, Peng Jia, Ziheng He, Hairu Luo   +4 more
doaj   +2 more sources

A Feasibility Study on Evasion Attacks Against NLP-Based Macro Malware Detection Algorithms

IEEE Access, 2023
Machine learning-based models for malware detection have gained prominence in order to detect obfuscated malware. These models extract malicious features and endeavor to classify samples as either malware or benign entities.
Mamoru Mimura, Risa Yamamoto
doaj   +1 more source

Global-Local Attention-Based Butterfly Vision Transformer for Visualization-Based Malware Classification

IEEE Access, 2023
In recent studies, convolutional neural networks (CNNs) are mostly used as dynamic techniques for visualization-based malware classification and detection.
Mohamad Mulham Belal, Divya Meena Sundaram   +1 more
doaj   +1 more source

Biserial Miyaguchi–Preneel Blockchain-Based Ruzicka-Indexed Deep Perceptive Learning for Malware Detection in IoMT

Sensors, 2021
Detection of unknown malware and its variants remains both an operational and a research challenge in the Internet of Things (IoT). The Internet of Medical Things (IoMT) is a particular type of IoT network which deals with communication through smart ...
Abdullah Shawan Alotaibi
doaj   +1 more source

Evaluation of Survivability of the Automatically Obfuscated Android Malware

Applied Sciences, 2022
Malware is a growing threat to all mobile platforms and hundreds of new malicious applications are being detected every day. At the same time, the development of automated software obfuscation techniques allows for the easy production of new malware ...
Himanshu Patel, Deep Patel, Jaspreet Ahluwalia, Vaishali Kapoor, Karthik Narasimhan, Harmanpreet Singh, Harmanjot Kaur, Gadi Harshitha Reddy, Sai Sushma Peruboina, Sergey Butakov   +9 more
doaj   +1 more source

A Proposed Artificial Intelligence Model for Android-Malware Detection

Informatics, 2023
There are a variety of reasons why smartphones have grown so pervasive in our daily lives. While their benefits are undeniable, Android users must be vigilant against malicious apps.
Fatma Taher, Omar Al Fandi, Mousa Al Kfairy, Hussam Al Hamadi, Saed Alrabaee   +4 more
doaj   +1 more source

IoT malware detection architecture using a novel channel boosted and squeezed CNN

Scientific Reports, 2022
Interaction between devices, people, and the Internet has given birth to a new digital communication model, the internet of things (IoT). The integration of smart devices to constitute a network introduces many security challenges.
Muhammad Asam, Saddam Hussain Khan, Altaf Akbar, Sameena Bibi, Tauseef Jamal, Asifullah Khan, Usman Ghafoor, Muhammad Raheel Bhutta   +7 more
doaj   +1 more source