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The battle to mitigate Android malware has become more critical with the emergence of new strains incorporating increasingly sophisticated evasion techniques, in turn necessitating more advanced detection capabilities. Hence, in this paper…

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

Thousands of malicious applications targeting mobile devices, including the popular Android platform, are created every day. A large number of those applications are created by a small number of professional under-ground actors, however…

密码学与安全 · 计算机科学 2019-03-06 Hyunjae Kang , Jae-wook Jang , Aziz Mohaisen , Huy Kang Kim

Malware remains a big threat to cyber security, calling for machine learning based malware detection. While promising, such detectors are known to be vulnerable to evasion attacks. Ensemble learning typically facilitates countermeasures,…

密码学与安全 · 计算机科学 2020-07-01 Deqiang Li , Qianmu Li

Android Inter-Component Communication (ICC) is complex, largely unconstrained, and hard for developers to understand. As a consequence, ICC is a common source of security vulnerability in Android apps. To promote secure programming…

密码学与安全 · 计算机科学 2018-12-11 Pascal Gadient , Mohammad Ghafari , Patrick Frischknecht , Oscar Nierstrasz

Contemporary mobile applications (apps) are designed to track, use, and share users' data, often without their consent, which results in potential privacy and transparency issues. To investigate whether mobile apps have always been…

密码学与安全 · 计算机科学 2021-07-29 Saad Sajid Hashmi , Nazar Waheed , Gioacchino Tangari , Muhammad Ikram , Stephen Smith

Malicious applications (particularly those targeting the Android platform) pose a serious threat to developers and end-users. Numerous research efforts have been devoted to developing effective approaches to defend against Android malware.…

密码学与安全 · 计算机科学 2022-08-10 Yue Liu , Chakkrit Tantithamthavorn , Li Li , Yepang Liu

Today's mobile platforms provide only coarse-grained permissions to users with regard to how third- party applications use sensitive private data. Unfortunately, it is easy to disguise malware within the boundaries of legitimately-granted…

编程语言 · 计算机科学 2013-11-19 Shuying Liang , Matthew Might , David Van Horn

Developers are increasingly integrating Language Models (LMs) into their mobile apps to provide features such as chat-based assistants. To prevent LM misuse, they impose various restrictions, including limits on the number of queries, input…

密码学与安全 · 计算机科学 2025-05-14 Muhammad Ibrahim , Gűliz Seray Tuncay , Z. Berkay Celik , Aravind Machiry , Antonio Bianchi

In this paper, we present a comparative analysis of benign and malicious Android applications, based on static features. In particular, we focus our attention on the permissions requested by an application. We consider both binary…

密码学与安全 · 计算机科学 2019-04-02 Neeraj Chavan , Fabio Di Troia , Mark Stamp

Android's permission system is designed to balance usability with informed consent, yet two legacy mechanisms still undermine that balance in Android 16: (i) permission groups that silently auto-grant new permissions within a group after a…

密码学与安全 · 计算机科学 2026-05-28 Olawale Amos Akanji , Manuel Egele , Gianluca Stringhini

Mobile applications (apps) have become an essential part of everyday life, offering convenient access to services such as banking, healthcare, and shopping. With these apps handling sensitive personal and financial data, ensuring their…

密码学与安全 · 计算机科学 2024-08-20 Anthony Peruma , Timothy Huo , Ana Catarina Araújo , Jake Imanaka , Rick Kazman

With the development in the field of smartphones and ever growing base of Internet, various softwares are left prone to many malicious activities like pharming, phishing, ransomware, spam, spoofing, spyware, eavesdropping, etc. These…

密码学与安全 · 计算机科学 2019-12-30 Soumya Sourav , Devashish Khulbe , Naman Kapoor

In developing countries, several key sectors, including education, finance, agriculture, and healthcare, mainly deliver their services via mobile app technology on handheld devices. As a result, mobile app security has emerged as a…

密码学与安全 · 计算机科学 2025-07-08 Alioune Diallo , Jordan Samhi , Tegawendé Bissyandé , Jacques Klein

Android malware presents a persistent threat to users' privacy and data integrity. To combat this, researchers have proposed machine learning-based (ML-based) Android malware detection (AMD) systems. However, adversarial Android malware…

密码学与安全 · 计算机科学 2025-01-24 Ping He , Lorenzo Cavallaro , Shouling Ji

Application markets provide a communication channel between app developers and their end-users in form of app reviews, which allow users to provide feedback about the apps. Although security and privacy in mobile apps are one of the biggest…

密码学与安全 · 计算机科学 2020-10-14 Debjyoti Mukherjee , Alireza Ahmadi , Maryam Vahdat Pour , Joel Reardon

Android devices are equipped with many pre-installed applications which have the capability of tracking and monitoring users. Although applications coming pre-installed pose a great danger to user security and privacy, they have received…

密码学与安全 · 计算机科学 2023-01-31 Abdullah Ozbay , Kemal Bicakci

The Android operating system has become the most popular operating system for smartphones and tablets leading to a rapid rise in malware. Sophisticated Android malware employ detection avoidance techniques in order to hide their malicious…

密码学与安全 · 计算机科学 2017-04-03 Mohammed K. Alzaylaee , Suleiman Y. Yerima , Sakir Sezer

With the growth of mobile devices and applications, the number of malicious software, or malware, is rapidly increasing in recent years, which calls for the development of advanced and effective malware detection approaches. Traditional…

密码学与安全 · 计算机科学 2018-12-12 Rui Zhu , Chenglin Li , Di Niu , Hongwen Zhang , Husam Kinawi

Android is nowadays the most popular operating system in the world, not only in the realm of mobile devices, but also when considering desktop and laptop computers. Such a popularity makes it an attractive target for security attacks, also…

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