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Mobile app distribution platforms such as Google Play Store allow users to share their feedback about downloaded apps in the form of a review comment and a corresponding star rating. Typically, the star rating ranges from one to five stars,…

Machine Learning · Computer Science 2018-08-14 Rahul Aralikatte , Giriprasad Sridhara , Neelamadhav Gantayat , Senthil Mani

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…

Cryptography and Security · Computer Science 2017-04-03 Mohammed K. Alzaylaee , Suleiman Y. Yerima , Sakir Sezer

We study the temporal dynamics of potentially harmful apps (PHAs) on Android by leveraging 8.8M daily on-device detections collected among 11.7M customers of a popular mobile security product between 2019 and 2020. We show that the current…

Cryptography and Security · Computer Science 2021-08-11 Yun Shen , Pierre-Antoine Vervier , Gianluca Stringhini

Repackaging is a serious threat to the Android ecosystem as it deprives app developers of their benefits, contributes to spreading malware on users' devices, and increases the workload of market maintainers. In the space of six years, the…

Software Engineering · Computer Science 2018-11-22 Li Li , Tegawendé Bissyandé , Jacques Klein

Although the use of pay-per-click mechanisms stimulates the prosperity of the mobile advertisement network, fraudulent ad clicks result in huge financial losses for advertisers. Extensive studies identify click fraud according to…

Cryptography and Security · Computer Science 2021-09-16 Tong Zhu , Yan Meng , Haotian Hu , Xiaokuan Zhang , Minhui Xue , Haojin Zhu

Researchers have proposed kinds of malware detection methods to solve the explosive mobile security threats. We argue that the experiment results are inflated due to the research bias introduced by the variability of malware dataset. We…

Software Engineering · Computer Science 2022-06-01 Yan Lin , Tianming Liu , Wei Liu , Zhigaoyuan Wang , Li Li , Guoai Xu , Haoyu Wang

With the increasing prevalence of fraudulent Android applications such as fake and malicious applications, it is crucial to detect them with high accuracy and adaptability. We present AgentDroid, a novel tool for Android fraudulent…

Software Engineering · Computer Science 2025-10-09 Ruwei Pan , Hongyu Zhang , Zhonghao Jiang , Ran Hou

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…

Cryptography and Security · Computer Science 2021-07-29 Saad Sajid Hashmi , Nazar Waheed , Gioacchino Tangari , Muhammad Ikram , Stephen Smith

Android malware is one of the most dangerous threats on the internet, and it's been on the rise for several years. Despite significant efforts in detecting and classifying android malware from innocuous android applications, there is still…

Cryptography and Security · Computer Science 2021-07-06 Ahmed Hashem El Fiky , Ayman El Shenawy , Mohamed Ashraf Madkour

Several solutions ensuring the dynamic detection of malicious activities on Android ecosystem have been proposed. These are represented by generic rules and models that identify any purported malicious behavior. However, the approaches…

Cryptography and Security · Computer Science 2023-08-01 Abdellah Ouaguid , Mohamed Ouzzif , Noreddine Abghour

Counterfeit apps impersonate existing popular apps in attempts to misguide users to install them for various reasons such as collecting personal information or spreading malware. Many counterfeits can be identified once installed, however…

Cryptography and Security · Computer Science 2020-06-04 Naveen Karunanayake , Jathushan Rajasegaran , Ashanie Gunathillake , Suranga Seneviratne , Guillaume Jourjon

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…

Cryptography and Security · Computer Science 2020-03-20 Guillermo Suarez-Tangil , Gianluca Stringhini

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…

Cryptography and Security · Computer Science 2019-12-30 Soumya Sourav , Devashish Khulbe , Naman Kapoor

The proper use of Android app permissions is crucial to the success and security of these apps. Users must agree to permission requests when installing or running their apps. Despite official Android platform documentation on proper…

Cryptography and Security · Computer Science 2025-08-05 Ali Alkinoon , Trung Cuong Dang , Ahod Alghuried , Abdulaziz Alghamdi , Soohyeon Choi , Manar Mohaisen , An Wang , Saeed Salem , David Mohaisen

The emergence of mobile platforms with increased storage and computing capabilities and the pervasive use of these platforms for sensitive applications such as online banking, e-commerce and the storage of sensitive information on these…

Cryptography and Security · Computer Science 2015-12-15 Joshua Abah , Waziri O. , Abdullahi M. B , Arthur U. M , Adewale O. S

The issue of fairness in decision-making is a critical one, especially given the variety of stakeholder demands for differing and mutually incompatible versions of fairness. Adopting a strategic interaction of perspectives provides an…

Machine Learning · Computer Science 2025-04-24 Tina Behzad , Mithilesh Kumar Singh , Anthony J. Ripa , Klaus Mueller

Human values such as honesty, social responsibility, fairness, privacy, and the like are things considered important by individuals and society. Software systems, including mobile software applications (apps), may ignore or violate such…

Due to its open-source nature, the Android operating system has consistently been a primary target for attackers. Learning-based methods have made significant progress in the field of Android malware detection. However, traditional…

Cryptography and Security · Computer Science 2025-04-11 Xingyuan Wei , Zijun Cheng , Ning Li , Qiujian Lv , Ziyang Yu , Degang Sun

As the popularity of Android smart phones has increased in recent years, so too has the number of malicious applications. Due to the potential for data theft mobile phone users face, the detection of malware on Android devices has become an…

Cryptography and Security · Computer Science 2019-08-14 Chenglin Li , Keith Mills , Rui Zhu , Di Niu , Hongwen Zhang , Husam Kinawi

What if a successful company starts to receive a torrent of low-valued (one or two stars) recommendations in its mobile apps from multiple users within a short (say one month) period of time? Is it legitimate evidence that the apps have…

Social and Information Networks · Computer Science 2016-11-24 Gabriel Gimenes , Robson Cordeiro , Jose F. Rodrigues-Jr