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相关论文: Healing Data Loss Problems in Android Apps

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Data driven research on Android has gained a great momentum these years. The abundance of data facilitates knowledge learning, however, also increases the difficulty of data preprocessing. Therefore, it is non-trivial to prepare a demanding…

软件工程 · 计算机科学 2017-11-22 Guozhu Meng , Yinxing Xue , Jing Kai Siow , Ting Su , Annamalai Narayanan , Yang Liu

Embedded systems in safety-critical environments are continuously required to deliver more performance and functionality, while expected to provide verified safety guarantees. Nonetheless, platform-wide software verification (required for…

系统与控制 · 计算机科学 2017-05-09 Fardin Abdi , Renato Mancuso , Rohan Tabish , Marco Caccamo

In this paper, we review some recent results about the use of dynamic observers for fault diagnosis of discrete event systems. Fault diagnosis consists in synthesizing a diagnoser that observes a given plant and identifies faults in the…

形式语言与自动机理论 · 计算机科学 2010-04-19 Franck Cassez , Stavros Tripakis

Android apps can hold secret strings of themselves such as cloud service credentials or encryption keys. Leakage of such secret strings can induce unprecedented consequences like monetary losses or leakage of user private information. In…

密码学与安全 · 计算机科学 2025-01-15 Lili Wei , Heqing Huang , Shing-Chi Cheung , Kevin Li

Smartphones and tablets have established themselves as mainstays in the modern computing landscape. It is conceivable that in the near future such devices may supplant laptops and desktops, becoming many users primary means of carrying out…

软件工程 · 计算机科学 2018-01-19 Kevin Moran

The purpose of the General Data Protection Regulation (GDPR) is to provide improved privacy protection. If an app controls personal data from users, it needs to be compliant with GDPR. However, GDPR lists general rules rather than exact…

软件工程 · 计算机科学 2020-08-17 Ming Fan , Le Yu , Sen Chen , Hao Zhou , Xiapu Luo , Shuyue Li , Yang Liu , Jun Liu , Ting Liu

The rise of Virtual Reality (VR) has provided developers with an unprecedented platform for creating games and applications (apps) that require distinct inputs, different from those of conventional devices like smartphones. The Meta Quest…

密码学与安全 · 计算机科学 2025-08-19 John Y. Kim , Chaoshun Zuo , Yanjie Zhao , Zhiqiang Lin

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

Malware evolves rapidly, forcing machine learning (ML)-based detectors to adapt continuously. With antivirus vendors processing hundreds of thousands of new samples daily, datasets can grow to billions of examples, making full retraining…

With the continuous growth in the usage of Android apps, ensuring their security has become critically important. An increasing number of malicious apps adopt anti-analysis techniques to evade security measures. Although some research has…

密码学与安全 · 计算机科学 2025-12-16 Dewen Suo , Lei Xue , Runze Tan , Weihao Huang , Guozi Sun

Despite regulatory efforts to establish reliable content-rating guidelines for mobile apps, the process of assigning content ratings in the Google Play Store remains self-regulated by the app developers. There is no straightforward method…

机器学习 · 计算机科学 2025-02-26 D. Denipitiyage , B. Silva , S. Seneviratne , A. Seneviratne , S. Chawla

Intense competition in the mobile apps market means it is important to maintain high levels of app reliability to avoid losing users. Yet despite its importance, app reliability is underexplored in the research literature. To address this…

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

Screen recordings of mobile applications are easy to obtain and capture a wealth of information pertinent to software developers (e.g., bugs or feature requests), making them a popular mechanism for crowdsourced app feedback. Thus, these…

Android users are increasingly concerned with the privacy of their data and security of their devices. To improve the security awareness of users, recent automatic techniques produce security-centric descriptions by performing program…

密码学与安全 · 计算机科学 2020-08-27 Tingmin Wu , Lihong Tang , Rongjunchen Zhang , Sheng Wen , Cecile Paris , Surya Nepal , Marthie Grobler , Yang Xiang

Smartphones have become the ultimate 'personal' computer, yet despite this, general-purpose data-mining and knowledge discovery tools for mobile devices are surprisingly rare. DataLearner is a new data-mining application designed…

机器学习 · 计算机科学 2019-06-11 Darren Yates , Md Zahidul Islam , Junbin Gao

The widespread use of smartphones and tablets has made society heavily reliant on mobile applications (apps) for accessing various resources and services. These apps often handle sensitive personal, financial, and health data, making app…

密码学与安全 · 计算机科学 2024-09-17 Timothy Huo , Ana Catarina Araújo , Jake Imanaka , Anthony Peruma , Rick Kazman

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

Classifying mobile apps based on their description is beneficial for several purposes. However, many app descriptions do not reflect app functionalities, whether accidentally or on purpose. Most importantly, these app classification methods…

软件工程 · 计算机科学 2021-03-23 Md. Shamsujjoha , John Grundy , Li Li , Hourieh Khalajzadeh , Qinghua Lu

User reviews published in mobile app repositories are essential for understanding user satisfaction and engagement within a specific market segment. Manual analysis of reviews is impractical due to the large data volume, and automated…

软件工程 · 计算机科学 2024-06-10 Quim Motger , Xavier Franch , Vincenzo Gervasi , Jordi Marco
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