A survey and evaluation of android-based malware evasion techniques and detection frameworks

P Faruki, R Bhan, V Jain, S Bhatia, N El Madhoun… - Information, 2023 - mdpi.com
Android platform security is an active area of research where malware detection techniques
continuously evolve to identify novel malware and improve the timely and accurate detection …

Smartphone Security and Privacy: A Survey on APTs, Sensor-Based Attacks, Side-Channel Attacks, Google Play Attacks, and Defenses

Z Muhammad, Z Anwar, AR Javed, B Saleem, S Abbas… - Technologies, 2023 - mdpi.com
There is an exponential rise in the use of smartphones in government and private institutions
due to business dependencies such as communication, virtual meetings, and access to …

Towards explainable quantum machine learning for mobile malware detection and classification

F Mercaldo, G Ciaramella, G Iadarola, M Storto… - Applied Sciences, 2022 - mdpi.com
Through the years, the market for mobile devices has been rapidly increasing, and as a
result of this trend, mobile malware has become sophisticated. Researchers are focused on …

Explainable ransomware detection with deep learning techniques

G Ciaramella, G Iadarola, F Martinelli… - Journal of Computer …, 2024 - Springer
Globally, the number of internet users increases every year. As a matter of fact, we use
technological devices to surf the internet, for online shopping, or just to relax and keep our …

Hybrid deep learning approach based on lstm and cnn for malware detection

P Thakur, V Kansal, V Rishiwal - Wireless Personal Communications, 2024 - Springer
Malware analysis is essential for detecting and mitigating the effects of malicious software.
This study introduces a novel hybrid approach using a combination of long short-term …

Cybersecurity for autonomous vehicles against malware attacks in smart-cities

S Aurangzeb, M Aleem, MT Khan, H Anwar… - Cluster …, 2024 - Springer
Abstract Smart Autonomous Vehicles (AVSs) are networks of Cyber-Physical Systems
(CPSs) in which they wirelessly communicate with other CPSs sub-systems (eg, smart …

Unmasking the Veiled: A Comprehensive Analysis of Android Evasive Malware

A Ruggia, D Nisi, S Dambra, A Merlo… - Proceedings of the 19th …, 2024 - dl.acm.org
Since Android is the most widespread operating system, malware targeting it poses a severe
threat to the security and privacy of millions of users and is increasing from year to year. The …

AndroDex: Android Dex images of obfuscated malware

S Aurangzeb, M Aleem, MT Khan, G Loukas… - Scientific Data, 2024 - nature.com
With the emergence of technology and the usage of a large number of smart devices, cyber
threats are increasing. Therefore, research studies have shifted their attention to detecting …

A review on the effectiveness of dimensional reduction with computational forensics: An application on malware analysis

D Naing, A Thaw, JSB Guan, YS Win, J Pan - arXiv preprint arXiv …, 2023 - arxiv.org
The Android operating system is pervasively adopted as the operating system platform of
choice for smart devices. However, the strong adoption has also resulted in exponential …

A Kullback-Liebler divergence-based representation algorithm for malware detection

FA Aboaoja, A Zainal, FA Ghaleb, NS Alghamdi… - PeerJ Computer …, 2023 - peerj.com
Background Malware, malicious software, is the major security concern of the digital realm.
Conventional cyber-security solutions are challenged by sophisticated malicious behaviors …