A Comprehensive Analysis of Explainable AI for Malware Hunting
In the past decade, the number of malware variants has increased rapidly. Many
researchers have proposed to detect malware using intelligent techniques, such as Machine …
researchers have proposed to detect malware using intelligent techniques, such as Machine …
[PDF][PDF] Towards Utilitarian Online Learning-A Review of Online Algorithms in Open Feature Space.
Human intelligence comes from the capability to describe and make sense of the world
surrounding us, often in a lifelong manner. Online Learning (OL) allows a model to simulate …
surrounding us, often in a lifelong manner. Online Learning (OL) allows a model to simulate …
[HTML][HTML] Mitigating adversarial evasion attacks of ransomware using ensemble learning
U Ahmed, JCW Lin, G Srivastava - Computers and Electrical Engineering, 2022 - Elsevier
Ransomware continues to pose a significant threat to cybersecurity by extorting money from
users by locking their devices and personal data. The attackers force the payment of a …
users by locking their devices and personal data. The attackers force the payment of a …
Robust deep learning early alarm prediction model based on the behavioural smell for android malware
Due to the widespread expansion of the Android malware industry, malicious Android
processes mining became a necessity to understand their behavior. Nevertheless, due to …
processes mining became a necessity to understand their behavior. Nevertheless, due to …
[PDF][PDF] Efficiency of malware detection in android system: A survey
Smart phones are becoming essential in our lives, and Android is one of the most popular
operating systems. Android OS is wide-ranging in the mobile industry today because of its …
operating systems. Android OS is wide-ranging in the mobile industry today because of its …
Android mobile malware detection using fuzzy AHP
Android mobile is very challenging because it is an open-source operating system that is
also vulnerable to attacks. Previous studies have shown various mobile malware detection …
also vulnerable to attacks. Previous studies have shown various mobile malware detection …
Qsecr: Secure qr code scanner according to a novel malicious url detection framework
Malicious Uniform Resource Locators (URLs) are the major issue posed by cybersecurity
threats. Cyberattackers spread malicious URLs to carry out attacks such as phishing and …
threats. Cyberattackers spread malicious URLs to carry out attacks such as phishing and …
WHGDroid: Effective android malware detection based on weighted heterogeneous graph
L Huang, J Xue, Y Wang, Z Liu, J Chen… - Journal of Information …, 2023 - Elsevier
The growing Android malware is seriously threatening the privacy and property security of
Android users. However, the existing detection methods are often unable to maintain …
Android users. However, the existing detection methods are often unable to maintain …
HamDroid: permission-based harmful android anti-malware detection using neural networks
Android platforms are a popular target for attackers, while many users around the world are
victims of Android malwares threatening their private information. Numerous Android anti …
victims of Android malwares threatening their private information. Numerous Android anti …
DCM-GIFT: An Android malware dynamic classification method based on gray-scale image and feature-selection tree
J Chen, Z Zhao, S Cai, X Chen, B Ahmad… - Information and …, 2024 - Elsevier
Abstract Context: The boom of Android market makes mobile products more popular and
convenient. However, in the face of the complex Android application market, how to …
convenient. However, in the face of the complex Android application market, how to …