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Android is a widely used operating system that employs a permission-based access control model. The Android Permissions System (APS) is responsible for mediating application resource requests. APS is a critical component of the Android…

密码学与安全 · 计算机科学 2022-08-24 Amirhosein Sayyadabdi , Behrouz Tork Ladani , Bahman Zamani

It is well-known that Android malware constantly evolves so as to evade detection. This causes the entire malware population to be non-stationary. Contrary to this fact, most of the prior works on Machine Learning based Android malware…

密码学与安全 · 计算机科学 2017-07-07 Annamalai Narayanan , Mahinthan Chandramohan , Lihui Chen , Yang Liu

The widespread use of Android applications has made them a prime target for cyberattacks, significantly increasing the risk of malware that threatens user privacy, security, and device functionality. Effective malware detection is thus…

密码学与安全 · 计算机科学 2025-07-01 Saraga S. , Anagha M. S. , Dincy R. Arikkat , Rafidha Rehiman K. A. , Serena Nicolazzo , Antonino Nocera , Vinod P

We present Anadroid, a static malware analysis framework for Android apps. Anadroid exploits two techniques to soundly raise precision: (1) it uses a pushdown system to precisely model dynamically dispatched interprocedural and…

编程语言 · 计算机科学 2013-11-19 Shuying Liang , Andrew W. Keep , Matthew Might , Steven Lyde , Thomas Gilray , Petey Aldous , David Van Horn

With the widespread adoption of smartphones, Android malware has become a significant challenge in the field of mobile device security. Current Android malware detection methods often rely on feature engineering to construct dynamic or…

密码学与安全 · 计算机科学 2024-08-30 Zhiqiang Wang , Qiulong Yu , Sicheng Yuan

The Android Open Source Project (AOSP) is probably the most used and customized operating system for smartphones and IoT devices worldwide. Its market share and high adaptability makes Android an interesting operating system for many…

密码学与安全 · 计算机科学 2021-12-17 Thomas Sutter

Android filesystem access control provides a foundation for Android system integrity. Android utilizes a combination of mandatory (e.g., SEAndroid) and discretionary (e.g., UNIX permissions) access control, both to protect the Android…

Popularity and complexity of malicious mobile applications are rising, making their analysis difficult and labor intensive. Mobile application analysis is indeed inherently different from desktop application analysis: In the latter, the…

密码学与安全 · 计算机科学 2014-02-21 Andrea Gianazza , Federico Maggi , Aristide Fattori , Lorenzo Cavallaro , Stefano Zanero

Third-party security apps are an integral part of the Android app ecosystem. Many users install them as an extra layer of protection for their devices. There are hundreds of such security apps, both free and paid in Google Play Store and…

密码学与安全 · 计算机科学 2020-07-09 Weixian Yao , Yexuan Li , Weiye Lin , Tianhui Hu , Imran Chowdhury , Rahat Masood , Suranga Seneviratne

In the past decade, the cyber-crime related to mobile devices has increased. Mobile devices, especially the ones running on Android operating system are particularly interesting to malware creators, as the users often keep the biggest…

密码学与安全 · 计算机科学 2019-10-24 Nikola Milosevic , Junfan Huang

Static detection technologies based on signature-based approaches that are widely used in Android platform to detect malicious applications. It can accurately detect malware by extracting signatures from test data and then comparing the…

密码学与安全 · 计算机科学 2017-09-27 Sanya Chaba , Rahul Kumar , Rohan Pant , Mayank Dave

Android has become the most popular mobile operating system. Correspondingly, an increasing number of Android malware has been developed and spread to steal users' private information. There exists one type of malware whose benign behaviors…

密码学与安全 · 计算机科学 2021-07-13 Yueming Wu , Deqing Zou , Wei Yang , Xiang Li , Hai Jin

The rise in popularity of the Android platform has resulted in an explosion of malware threats targeting it. As both Android malware and the operating system itself constantly evolve, it is very challenging to design robust malware…

The popularity of Android OS has made it an appealing target to malware developers. To evade detection, including by ML-based techniques, attackers invest in creating malware that closely resemble legitimate apps. In this paper, we propose…

密码学与安全 · 计算机科学 2022-05-18 Nadia Daoudi , Kevin Allix , Tegawendé F. Bissyandé , Jacques Klein

In recent years, stealthy Android malware has increasingly adopted sophisticated techniques to bypass automatic detection mechanisms and harden manual analysis. Adversaries typically rely on obfuscation, anti-repacking, steganography,…

密码学与安全 · 计算机科学 2026-02-23 Diego Soi , Silvia Lucia Sanna , Lorenzo Pisu , Leonardo Regano , Giorgio Giacinto

The Android operating system is the most spread mobile platform in the world. Therefor attackers are producing an incredible number of malware applications for Android. Our aim is to detect Android's malware in order to protect the user. To…

密码学与安全 · 计算机科学 2021-04-09 Alain Menelet , Charles-Edmond Bichot

For the dramatic increase of Android malware and low efficiency of manual check process, deep learning methods started to be an auxiliary means for Android malware detection these years. However, these models are highly dependent on the…

密码学与安全 · 计算机科学 2019-09-10 Ji Wang , Qi Jing , Jianbo Gao

Android is becoming ubiquitous and currently has the largest share of the mobile OS market with billions of application downloads from the official app market. It has also become the platform most targeted by mobile malware that are…

密码学与安全 · 计算机科学 2016-07-28 Mohammed K. Alzaylaee , Suleiman Y. Yerima , Sakir Sezer

The recent evolution on the smart phone technology has made its application market huge and less secure. Every single day large number of apps introduced in the android market (mostly on google play store) without any particular inspections…

密码学与安全 · 计算机科学 2016-07-18 Chalise Birendra

Android is the most widely used smartphone OS with 82.8% market share in 2015. It is therefore the most widely targeted system by malware authors. Researchers rely on dynamic analysis to extract malware behaviors and often use emulators to…

密码学与安全 · 计算机科学 2016-09-16 Paul Irolla , Eric Filiol