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 …

[HTML][HTML] Android application forensics: A survey of obfuscation, obfuscation detection and deobfuscation techniques and their impact on investigations

X Zhang, F Breitinger, E Luechinger… - Forensic Science …, 2021 - Elsevier
Android obfuscation techniques include not only classic code obfuscation techniques that
were adapted to Android, but also obfuscation methods that target the Android platform …

Understanding android obfuscation techniques: A large-scale investigation in the wild

S Dong, M Li, W Diao, X Liu, J Liu, Z Li, F Xu… - Security and privacy in …, 2018 - Springer
Program code is a valuable asset to its owner. Due to the easy-to-reverse nature of Java,
code protection for Android apps is of particular importance. To this end, code obfuscation is …

[HTML][HTML] Obfuscapk: An open-source black-box obfuscation tool for Android apps

S Aonzo, GC Georgiu, L Verderame, A Merlo - SoftwareX, 2020 - Elsevier
Obfuscapk is an open-source automatic obfuscation tool for Android apps that works in a
black-box fashion (ie, it does not need the app source code). Obfuscapk supports advanced …

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 …

BLADE: Robust malware detection against obfuscation in android

V Sihag, M Vardhan, P Singh - Forensic Science International: Digital …, 2021 - Elsevier
Android OS popularity has given significant rise to malicious apps targeting it. Malware use
state of the art obfuscation methods to hide their functionality and evade anti-malware …

Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning

B Molina-Coronado, U Mori, A Mendiburu… - Computers & …, 2023 - Elsevier
As in other cybersecurity areas, machine learning (ML) techniques have emerged as a
promising solution to detect Android malware. In this sense, many proposals employing a …

Visualizing the outcome of dynamic analysis of Android malware with VizMal

A De Lorenzo, F Martinelli, E Medvet… - Journal of Information …, 2020 - Elsevier
Malware detection techniques based on signature extraction require security analysts to
manually inspect samples to find evidences of malicious behavior. This time-consuming task …

IMIAD: intelligent malware identification for android platform

SJ Hussain, U Ahmed, H Liaquat, S Mir… - … on Computer and …, 2019 - ieeexplore.ieee.org
Android malware applications and their detection have been under study by security experts
for quite some time, but it gained special attention since the ever-growing use of …

The rise of obfuscated Android malware and impacts on detection methods

WF Elsersy, A Feizollah, NB Anuar - PeerJ Computer Science, 2022 - peerj.com
The various application markets are facing an exponential growth of Android malware. Every
day, thousands of new Android malware applications emerge. Android malware hackers …