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Mobile apps are extensively involved in cyber-crimes. Some apps are malware which compromise users' devices, while some others may lead to privacy leakage. Apart from them, there also exist apps which directly make profit from victims…

密码学与安全 · 计算机科学 2021-06-14 Zhuo Chen , Lei Wu , Jing Cheng , Yubo Hu , Yajin Zhou , Zhushou Tang , Yexuan Chen , Jinku Li , Kui Ren

The rapid growth of Decentralized Finance (DeFi) boosts the Ethereum ecosystem. At the same time, attacks towards DeFi applications (apps) are increasing. However, to the best of our knowledge, existing smart contract vulnerability…

密码学与安全 · 计算机科学 2021-05-03 Siwei Wu , Dabao Wang , Jianting He , Yajin Zhou , Lei Wu , Xingliang Yuan , Qinming He , Kui Ren

The commoditization of Malware-as-a-Service (MaaS) allows criminals to obtain financial benefits at a low risk and with little technical background. One such popular product in the underground economy is ransomware. In ransomware attacks,…

密码学与安全 · 计算机科学 2021-07-09 Javier Yuste , Sergio Pastrana

The Android operating system has been the most popular for smartphones and tablets since 2012. This popularity has led to a rapid raise of Android malware in recent years. The sophistication of Android malware obfuscation and detection…

密码学与安全 · 计算机科学 2019-11-25 Mohammed K. Alzaylaee , Suleiman Y. Yerima , Sakir Sezer

Due to the competitive environment, mobile apps are usually produced under pressure with lots of complicated functionality and UI pages. Therefore, it is challenging for various roles to design, understand, test, and maintain these apps.…

软件工程 · 计算机科学 2023-08-22 Xiangyu Zhang , Lingling Fan , Sen Chen , Yucheng Su , Boyuan Li

In the digitized world, smartphones and their apps play an important role. To name just a few examples, some apps offer possibilities for entertainment, others for online banking, and others offer support for two-factor authentication.…

密码学与安全 · 计算机科学 2023-07-18 Alexander Hefter , Christoph Sendner , Alexandra Dmitrienko

The impressive growth of smartphone devices in combination with the rising ubiquity of using mobile platforms for sensitive applications such as Internet banking, have triggered a rapid increase in mobile malware. In recent literature, many…

密码学与安全 · 计算机科学 2023-12-20 Harris Papadopoulos , Nestoras Georgiou , Charalambos Eliades , Andreas Konstantinidis

The scaled Web 3.0 digital economy, represented by decentralized finance (DeFi), has sparked increasing interest in the past few years, which usually relies on blockchain for token transfer and diverse transaction logic. However, illegal…

社会与信息网络 · 计算机科学 2025-01-15 Shuyi Miao , Wangjie Qiu , Hongwei Zheng , Qinnan Zhang , Xiaofan Tu , Xunan Liu , Yang Liu , Jin Dong , Zhiming Zheng

Wash trading in decentralized markets remains a significant concern magnified by the pseudonymous and public nature of blockchains. In this paper we introduce an innovative methodology designed to detect wash trading activities beyond…

计算工程、金融与科学 · 计算机科学 2023-12-29 Aleksandar Tošić , Niki Hrovatin , Jernej Vičič

Mobile malware has been growing in scale and complexity as smartphone usage continues to rise. Android has surpassed other mobile platforms as the most popular whilst also witnessing a dramatic increase in malware targeting the platform. A…

密码学与安全 · 计算机科学 2016-08-03 Suleiman Y. Yerima , Sakir Sezer , Gavin McWilliams , Igor Muttik

With over 50 billion downloads and more than 1.3 million apps in the Google official market, Android has continued to gain popularity amongst smartphone users worldwide. At the same time there has been a rise in malware targeting the…

密码学与安全 · 计算机科学 2016-08-03 Suleiman Y. Yerima , Sakir Sezer , Igor Muttik

The Android ecosystem is vulnerable to issues such as app repackaging, counterfeiting, and piracy, threatening both developers and users. To mitigate these risks, developers often employ code obfuscation techniques. However, while effective…

密码学与安全 · 计算机科学 2025-02-10 Akila Niroshan , Suranga Seneviratne , Aruna Seneviratne

Powered by their superior performance, deep neural networks (DNNs) have found widespread applications across various domains. Many deep learning (DL) models are now embedded in mobile apps, making them more accessible to end users through…

密码学与安全 · 计算机科学 2025-01-03 Jiali Wei , Ming Fan , Xicheng Zhang , Wenjing Jiao , Haijun Wang , Ting Liu

Mobile apps are essential in daily life but frequently employ deceptive patterns, such as visual emphasis or linguistic nudging, to manipulate user behavior. Existing research largely relies on manual detection, which is time-consuming and…

软件工程 · 计算机科学 2026-04-09 Jieshan Chen , Zhen Wang , Jiamou Sun , Zhenchang Xing , Qinghua Lu , Qing Huang , Xiwei Xu , Liming Zhu

As privacy features in Android operating system improve, privacy-invasive apps may gradually shift their focus to non-standard and covert channels for leaking private user/device information. Such leaks also remain largely undetected by…

密码学与安全 · 计算机科学 2022-10-03 Sajjad Pourali , Nayanamana Samarasinghe , Mohammad Mannan

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

Internet of Things (IoT) devices are becoming increasingly important. These devices are often resource-limited, hindering rigorous enforcement of security policies. Assessing the vulnerability of IoT devices is an important problem, but…

密码学与安全 · 计算机科学 2019-01-30 Davino Mauro Junior , Luis Melo , Harvey Lu , Marcelo d'Amorim , Atul Prakash

Automated fraud behaviors detection on electronic payment platforms is a tough problem. Fraud users often exploit the vulnerability of payment platforms and the carelessness of users to defraud money, steal passwords, do money laundering,…

密码学与安全 · 计算机科学 2019-09-06 Ruoyu Deng , Na Ruan

Rapid and massive adoption of mobile/ online payment services has brought new challenges to the service providers as well as regulators in safeguarding the proper uses such services/ systems. In this paper, we leverage recent advances in…

社会与信息网络 · 计算机科学 2019-06-14 Da Sun Handason Tam , Wing Cheong Lau , Bin Hu , Qiu Fang Ying , Dah Ming Chiu , Hong Liu

Due to the openness of the wireless medium, smartphone users are susceptible to user privacy attacks, where user privacy information is inferred from encrypted Wi-Fi wireless traffic. Existing attacks are limited to recognizing mobile apps…

密码学与安全 · 计算机科学 2025-11-06 Yong Huang , Zhibo Dong , Xiaoguang Yang , Dalong Zhang , Qingxian Wang , Zhihua Wang