A3: automatic analysis of android malware

Z Luoshi, N Yan, W Xiao, W Zhaoguo… - … Workshop on Cloud …, 2013 - atlantis-press.com
Recently, Android malware is spreading rapidly. Although static or dynamic analysis
techniques for detecting Android malware can provide a comprehensive view, it is still …

Runtime detection framework for android malware

TG Kim, BJ Kang, EG Im - Mobile Information Systems, 2018 - Wiley Online Library
As the number of Android malware has been increased rapidly over the years, various
malware detection methods have been proposed so far. Existing methods can be classified …

DroidHook: a novel API-hook based Android malware dynamic analysis sandbox

Y Cui, Y Sun, Z Lin - Automated Software Engineering, 2023 - Springer
With the popularity of Android devices, mobile apps are prevalent in our daily life, making
them a target for attackers to steal private data and push advertisements. Dynamic analysis …

[PDF][PDF] Artdroid: A virtual-method hooking framework on android art runtime.

V Costamagna, C Zheng - IMPS@ ESSoS, 2016 - academia.edu
Various static and dynamic analysis techniques are developed to detect and analyze
Android malware. Some advanced Android malware can use Java reflection and JNI …

A novel hybrid method to analyze security vulnerabilities in android applications

J Tang, R Li, K Wang, X Gu, Z Xu - Tsinghua Science and …, 2020 - ieeexplore.ieee.org
We propose a novel hybrid method to analyze the security vulnerabilities in Android
applications. Our method combines static analysis, which consists of metadata and data flow …

Dwroiddump: Executable code extraction from android applications for malware analysis

D Kim, J Kwak, J Ryou - International Journal of Distributed …, 2015 - journals.sagepub.com
We suggest an idea to dump executable code from memory for malicious application
analysis on Android platform. Malicious applications are getting enhanced in terms of …

Detection, classification and characterization of android malware using api data dependency

Y Li, T Shen, X Sun, X Pan, B Mao - … 2015, Dallas, TX, USA, October 26-29 …, 2015 - Springer
With the popularity of Android devices, more and more Android malware are manufactured
every year. How to filter out malicious app is a serious problem for app markets. In this …

Lumus: Dynamically Uncovering Evasive Android Applications

V Afonso, A Kalysch, T Müller, D Oliveira… - … Conference, ISC 2018 …, 2018 - Springer
Dynamic analysis of Android malware suffers from techniques that identify the analysis
environment and prevent the malicious behavior from being observed. While there are many …

NeSeDroid—Android malware detection based on Network Traffic and sensitive resource accessing

NT Cam, NCH Phuoc - Proceedings of the International Conference on …, 2017 - Springer
The Android operating system has a large market share. The number of new malware on
Android is increasing much recently. Android malware analysis includes static analysis and …

Mystique: Evolving android malware for auditing anti-malware tools

G Meng, Y Xue, C Mahinthan, A Narayanan… - Proceedings of the 11th …, 2016 - dl.acm.org
In the arms race of attackers and defenders, the defense is usually more challenging than
the attack due to the unpredicted vulnerabilities and newly emerging attacks every day …