A Comprehensive Analysis of Explainable AI for Malware Hunting

M Saqib, S Mahdavifar, BCM Fung… - ACM Computing …, 2024 - dl.acm.org
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 …

[PDF][PDF] Towards Utilitarian Online Learning-A Review of Online Algorithms in Open Feature Space.

Y He, C Schreckenberger, H Stuckenschmidt, X Wu - IJCAI, 2023 - ijcai.org
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 …

[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 …

Robust deep learning early alarm prediction model based on the behavioural smell for android malware

E Amer, S El-Sappagh - Computers & Security, 2022 - Elsevier
Due to the widespread expansion of the Android malware industry, malicious Android
processes mining became a necessity to understand their behavior. Nevertheless, due to …

[PDF][PDF] Efficiency of malware detection in android system: A survey

MA Omer, SR Zeebaree, MA Sadeeq… - Asian Journal of …, 2021 - academia.edu
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 …

Android mobile malware detection using fuzzy AHP

JM Arif, MF Ab Razak, SRT Mat, S Awang… - Journal of Information …, 2021 - Elsevier
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 …

Qsecr: Secure qr code scanner according to a novel malicious url detection framework

AS Rafsanjani, NB Kamaruddin, HM Rusli… - IEEE …, 2023 - ieeexplore.ieee.org
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 …

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 …

HamDroid: permission-based harmful android anti-malware detection using neural networks

S Seraj, S Khodambashi, M Pavlidis… - Neural Computing and …, 2022 - Springer
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 …

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 …