The evolution of android malware and android analysis techniques

K Tam, A Feizollah, NB Anuar, R Salleh… - ACM Computing …, 2017 - dl.acm.org
With the integration of mobile devices into daily life, smartphones are privy to increasing
amounts of sensitive information. Sophisticated mobile malware, particularly Android …

Internet of drones security: Taxonomies, open issues, and future directions

A Derhab, O Cheikhrouhou, A Allouch, A Koubaa… - Vehicular …, 2023 - Elsevier
Drones have recently become one of the most important technological breakthroughs. They
have opened the horizon for a vast array of applications and paved the way for a diversity of …

MAPAS: a practical deep learning-based android malware detection system

J Kim, Y Ban, E Ko, H Cho, JH Yi - International Journal of Information …, 2022 - Springer
A lot of malicious applications appears every day, threatening numerous users. Therefore, a
surge of studies have been conducted to protect users from newly emerging malware by …

Droidcat: Effective android malware detection and categorization via app-level profiling

H Cai, N Meng, B Ryder, D Yao - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Most existing Android malware detection and categorization techniques are static
approaches, which suffer from evasion attacks, such as obfuscation. By analyzing program …

Yes, machine learning can be more secure! a case study on android malware detection

A Demontis, M Melis, B Biggio… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
To cope with the increasing variability and sophistication of modern attacks, machine
learning has been widely adopted as a statistically-sound tool for malware detection …

50 ways to leak your data: An exploration of apps' circumvention of the android permissions system

J Reardon, Á Feal, P Wijesekera, AEB On… - 28th USENIX security …, 2019 - usenix.org
Modern smartphone platforms implement permission-based models to protect access to
sensitive data and system resources. However, apps can circumvent the permission model …

Droidsieve: Fast and accurate classification of obfuscated android malware

G Suarez-Tangil, SK Dash, M Ahmadi… - Proceedings of the …, 2017 - dl.acm.org
With more than two million applications, Android marketplaces require automatic and
scalable methods to efficiently vet apps for the absence of malicious threats. Recent …

A survey of malware detection in Android apps: Recommendations and perspectives for future research

A Razgallah, R Khoury, S Hallé… - Computer Science …, 2021 - Elsevier
Android has dominated the smartphone market and has become the most popular operating
system for mobile devices. However, security threats in Android applications have also …

A survey of android application and malware hardening

V Sihag, M Vardhan, P Singh - Computer Science Review, 2021 - Elsevier
In the age of increasing mobile and smart connectivity, malware poses an ever evolving
threat to individuals, societies and nations. Anti-malware companies are often the first and …

Deep feature extraction and classification of android malware images

J Singh, D Thakur, F Ali, T Gera, KS Kwak - Sensors, 2020 - mdpi.com
The Android operating system has gained popularity and evolved rapidly since the previous
decade. Traditional approaches such as static and dynamic malware identification …