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Android OS experiences a blazing popularity since the last few years. This predominant platform has established itself not only in the mobile world but also in the Internet of Things (IoT) devices. This popularity, however, comes at the…

密码学与安全 · 计算机科学 2017-12-27 ElMouatez Billah Karbab , Mourad Debbabi , Abdelouahid Derhab , Djedjiga Mouheb

Machine learning-based malware detection dominates current security defense approaches for Android apps. However, due to the evolution of Android platforms and malware, existing such techniques are widely limited by their need for constant…

密码学与安全 · 计算机科学 2021-11-03 Haipeng Cai

In recent years, learning-based Android malware detection has seen significant advancements, with detectors generally falling into three categories: string-based, image-based, and graph-based approaches. While these methods have shown…

密码学与安全 · 计算机科学 2025-09-16 Doan Minh Trung , Tien Duc Anh Hao , Luong Hoang Minh , Nghi Hoang Khoa , Nguyen Tan Cam , Van-Hau Pham , Phan The Duy

Due to the continuous improvement of performance and functions, Android remains the most popular operating system on mobile phone today. However, various malicious applications bring great threats to the system. Over the past few years,…

密码学与安全 · 计算机科学 2021-09-03 Ruicong Huang

Smartphones have become an intrinsic part of human's life. The smartphone unifies diverse advanced characteristics. It enables users to store various data such as photos, health data, credential bank data, and personal information. The…

密码学与安全 · 计算机科学 2019-01-23 Abdelmonim Naway , Yuancheng Li

Over the last decade, researchers have extensively explored the vulnerabilities of Android malware detectors to adversarial examples through the development of evasion attacks; however, the practicality of these attacks in real-world…

机器学习 · 计算机科学 2024-01-26 Hamid Bostani , Veelasha Moonsamy

The growth in the number of Android and Internet of Things (IoT) devices has witnessed a parallel increase in the number of malicious software (malware), calling for new analysis approaches. We represent binaries using their graph…

密码学与安全 · 计算机科学 2019-02-12 Hisham Alasmary , Aminollah Khormali , Afsah Anwar , Jeman Park , Jinchun Choi , DaeHun Nyang , Aziz Mohaisen

Nowadays, Android is the most dominant operating system in the mobile ecosystem, with billions of people using its apps daily. As expected, this trend did not go unnoticed by miscreants, and Android became the favorite platform for…

密码学与安全 · 计算机科学 2022-01-25 Peng Xu , Claudia Eckert , Apostolis Zarras

With the escalating threat of malware, particularly on mobile devices, the demand for effective analysis methods has never been higher. While existing security solutions, including AI-based approaches, offer promise, their lack of…

密码学与安全 · 计算机科学 2025-03-11 Merve Cigdem Ipek , Sevil Sen

A recent report indicates that there is a new malicious app introduced every 4 seconds. This rapid malware distribution rate causes existing malware detection systems to fall far behind, allowing malicious apps to escape vetting efforts and…

密码学与安全 · 计算机科学 2017-11-16 Lichao Sun , Xiaokai Wei , Jiawei Zhang , Lifang He , Philip S. Yu , Witawas Srisa-an

Android is the predominant mobile operating system for the past few years. The prevalence of devices that can be powered by Android magnetized not merely application developers but also malware developers with criminal intention to design…

密码学与安全 · 计算机科学 2018-12-27 Abdelmonim Naway , Yuancheng LI

According to the Symantec and F-Secure threat reports, mobile malware development in 2013 and 2014 has continued to focus almost exclusively ~99% on the Android platform. Malware writers are applying stealthy mutations (obfuscations) to…

密码学与安全 · 计算机科学 2016-02-23 Shahid Alam , Zhengyang Qu , Ryan Riley , Yan Chen , Vaibhav Rastogi

Smartphones and mobile devices are rapidly becoming indispensable devices for many users. Unfortunately, they also become fertile grounds for hackers to deploy malware and to spread virus. There is an urgent need to have a "security…

密码学与安全 · 计算机科学 2013-09-24 Min Zheng , Mingshen Sun , John C. S. Lui

Security of Android devices is now paramount, given their wide adoption among consumers. As researchers develop tools for statically or dynamically detecting suspicious apps, malware writers regularly update their attack mechanisms to hide…

密码学与安全 · 计算机科学 2022-10-21 Xiaoyu Sun , Xiao Chen , Li Li , Haipeng Cai , John Grundy , Jordan Samhi , Tegawendé F. Bissyandé , Jacques Klein

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

Android malware is a persistent threat to billions of users around the world. As a countermeasure, Android malware detection systems are occasionally implemented. However, these systems are often vulnerable to \emph{evasion attacks}, in…

密码学与安全 · 计算机科学 2020-04-01 Harel Berger , Chen Hajaj , Amit Dvir

Android is among the popular platforms running on millions of smart devices, like smartphones and tablets, whose widespread adoption is seen as an opportunity for spreading malware. Adding malicious payloads to cracked applications, often…

密码学与安全 · 计算机科学 2019-03-13 Konstantinos-Panagiotis Grammatikakis , Angela Ioannou , Stavros Shiaeles , Nicholas Kolokotronis

Despite the growing threat posed by Android malware, the research community is still lacking a comprehensive view of common behaviors and trends exposed by malware families active on the platform. Without such view, the researchers incur…

密码学与安全 · 计算机科学 2020-03-20 Guillermo Suarez-Tangil , Gianluca Stringhini

Mobile malware are malicious programs that target mobile devices. They are an increasing problem, as seen in the rise of detected mobile malware samples per year. The number of active smartphone users is expected to grow, stressing the…

密码学与安全 · 计算机科学 2022-02-15 J. S. Panman de Wit , J. van der Ham , D. Bucur

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