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In this work, we are focusing on a new and yet uncovered way for malicious apps to gain profit. They claim to be dating apps. However, their sole purpose is to lure users into purchasing premium/VIP services to start conversations with…

Computers and Society · Computer Science 2018-07-16 Yangyu Hu , Haoyu Wang , Yajin Zhou , Yao Guo , Li Li , Bingxuan Luo , Fangren Xu

Prior studies on mobile app analysis often analyze apps across different categories or focus on a small set of apps within a category. These studies either provide general insights for an entire app store which consists of millions of apps,…

Software Engineering · Computer Science 2023-10-13 Bhagya Chembakottu , Heng Li , Foutse Khomh

With the rapid advancement of machine learning (ML), ML-based Android malware detection has gained significant popularity due to its ability to automatically learn malicious patterns from Android apps. However, the lack of an in-depth and…

Cryptography and Security · Computer Science 2026-04-21 Jiahao Liu , Jun Zeng , Fabio Pierazzi , Ziqi Yang , Lorenzo Cavallaro , Zhenkai Liang

Advertisement drives the economy of the mobile app ecosystem. As a key component in the mobile ad business model, mobile ad content has been overlooked by the research community, which poses a number of threats, e.g., propagating malware…

Cryptography and Security · Computer Science 2020-02-06 Tianming Liu , Haoyu Wang , Li Li , Xiapu Luo , Feng Dong , Yao Guo , Liu Wang , Tegawendé F. Bissyandé , Jacques Klein

There is little information from independent sources in the public domain about mobile malware infection rates. The only previous independent estimate (0.0009%) [12], was based on indirect measurements obtained from domain name resolution…

Cryptography and Security · Computer Science 2014-02-28 Hien Thi Thu Truong , Eemil Lagerspetz , Petteri Nurmi , Adam J. Oliner , Sasu Tarkoma , N. Asokan , Sourav Bhattacharya

We present MH-1M, one of the most comprehensive and up-to-date datasets for advanced Android malware research. The dataset comprises 1,340,515 applications, encompassing a wide range of features and extensive metadata. To ensure accurate…

Cryptography and Security · Computer Science 2025-11-04 Hendrio Braganca , Diego Kreutz , Vanderson Rocha , Joner Assolin , and Eduardo Feitosa

While the rapid adaptation of mobile devices changes our daily life more conveniently, the threat derived from malware is also increased. There are lots of research to detect malware to protect mobile devices, but most of them adopt only…

Cryptography and Security · Computer Science 2019-06-25 Hye Min Kim , Hyun Min Song , Jae Woo Seo , Huy Kang Kim

Increasing interest in securing the Android ecosystem has spawned numerous efforts to assist app developers in building secure apps. These efforts have resulted in tools and techniques capable of detecting vulnerabilities (and malicious…

Cryptography and Security · Computer Science 2019-08-06 Venkatesh-Prasad Ranganath , Joydeep Mitra

China is one of the largest Android markets in the world. As Chinese users cannot access Google Play to buy and install Android apps, a number of independent app stores have emerged and compete in the Chinese app market. Some of the Chinese…

Networking and Internet Architecture · Computer Science 2018-10-19 Haoyu Wang , Zhe Liu , Jingyue Liang , Narseo Vallina-Rodriguez , Yao Guo , Li Li , Juan Tapiador , Jingcun Cao , Guoai Xu

Ubiquitous technologies such as mobile software applications (mobile apps) have a tremendous influence on the evolution of the social, cultural, economic, and political facets of life in society. Mobile apps fulfil many practical purposes…

Software Engineering · Computer Science 2020-12-21 Humphrey O. Obie , Waqar Hussain , Xin Xia , John Grundy , Li Li , Burak Turhan , Jon Whittle , Mojtaba Shahin

The competing nature of the app market motivates us to shift our focus on apps that provide similar functionalities and directly compete with each other (i.e., peer apps). In this work, we study the ratings and the review text of 100…

Software Engineering · Computer Science 2022-04-11 Safwat Hassan , Heng Li , Ahmed E. Hassan

Sophisticated evasion tactics in malicious Android applications, combined with their intricate behavioral semantics, enable attackers to conceal malicious logic within legitimate functions, underscoring the critical need for robust and…

Software Engineering · Computer Science 2025-09-12 Guangyu Zhang , Xixuan Wang , Shiyu Sun , Peiyan Xiao , Kun Sun , Yanhai Xiong

Accurate detection of third-party libraries (TPLs) is fundamental to Android security, supporting vulnerability tracking, malware detection, and supply chain auditing. Despite many proposed tools, their real-world effectiveness remains…

Cryptography and Security · Computer Science 2025-09-08 Jintao Gu , Haolang Lu , Guoshun Nan , Yihan Lin , Kun Wang , Yuchun Guo , Yigui Cao , Yang Liu

In many online platforms, customers' decisions are substantially influenced by product rankings as most customers only examine a few top-ranked products. Concurrently, such platforms also use the same data corresponding to customers'…

Machine Learning · Computer Science 2020-09-14 Negin Golrezaei , Vahideh Manshadi , Jon Schneider , Shreyas Sekar

While mobile app evolution has been widely studied, geographical variation in app behavior remains largely unexplored. This paper presents a large-scale study of location-based Android app differentiation, uncovering two important and…

Software Engineering · Computer Science 2025-11-27 M. Alecci , P. Jiménez , J. Samhi , T. Bissyandé , J. Klein

There is increasing attention to evaluating the fairness of search system ranking decisions. These metrics often consider the membership of items to particular groups, often identified using protected attributes such as gender or ethnicity.…

Information Retrieval · Computer Science 2021-08-12 Ömer Kırnap , Fernando Diaz , Asia Biega , Michael Ekstrand , Ben Carterette , Emine Yılmaz

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…

Cryptography and Security · Computer Science 2021-04-09 Alain Menelet , Charles-Edmond Bichot

Android is undergoing unprecedented malicious threats daily, but the existing methods for malware detection often fail to cope with evolving camouflage in malware. To address this issue, we present HAWK, a new malware detection framework…

Cryptography and Security · Computer Science 2021-08-18 Yiming Hei , Renyu Yang , Hao Peng , Lihong Wang , Xiaolin Xu , Jianwei Liu , Hong Liu , Jie Xu , Lichao Sun

With the number of new mobile malware instances increasing by over 50\% annually since 2012 [24], malware embedding in mobile apps is arguably one of the most serious security issues mobile platforms are exposed to. While obfuscation…

Cryptography and Security · Computer Science 2019-08-23 Muhammad Ikram , Pierrick Beaume , Mohamed Ali Kaafar

Ransomware constitutes a significant threat to the Android operating system. It can either lock or encrypt the target devices, and victims are forced to pay ransoms to restore their data. Hence, the prompt detection of such attacks has a…

Cryptography and Security · Computer Science 2019-07-03 Michele Scalas , Davide Maiorca , Francesco Mercaldo , Corrado Aaron Visaggio , Fabio Martinelli , Giorgio Giacinto