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Website fingerprinting enables an attacker to infer which web page a client is browsing through encrypted or anonymized network connections. We present a new website fingerprinting technique based on random decision forests and evaluate…

密码学与安全 · 计算机科学 2016-02-22 Jamie Hayes , George Danezis

The proliferation of ubiquitous computing requires energy-efficient as well as secure operation of modern processors. Side channel attacks are becoming a critical threat to security and privacy of devices embedded in modern computing…

密码学与安全 · 计算机科学 2019-07-11 Nikhil Chawla , Arvind Singh , Monodeep Kar , Saibal Mukhopadhyay

Smartphone technology has drastically improved over the past decade. These improvements have seen the creation of specialized health applications, which offer consumers a range of health-related activities such as tracking and checking…

密码学与安全 · 计算机科学 2021-07-30 I Wayan Budi Sentana , Muhammad Ikram , Mohamed Ali Kaafar , Shlomo Berkovsky

Several recent studies have demonstrated that people show large behavioural uniqueness. This has serious privacy implications as most individuals become increasingly re-identifiable in large datasets or can be tracked while they are…

密码学与安全 · 计算机科学 2016-06-07 Gabor Gyorgy Gulyas , Gergely Acs , Claude Castelluccia

The rise of mobile apps has brought greater convenience and many options for users. However, many apps use analytics services to collect a wide range of user interaction data, with privacy policies often failing to reveal the types of…

软件工程 · 计算机科学 2024-01-17 Feiyang Tang , Bjarte M. Østvold

Nowadays smartphones come embedded with multiple motion sensors, such as an accelerometer, a gyroscope and an orientation sensor. With these sensors, apps can gather more information and therefore provide end users with more functionality.…

密码学与安全 · 计算机科学 2014-10-29 Yihang Song , Madhur Kukreti , Rahul Rawat , Urs Hengartner

The android operating system is being installed in most of the smart devices. The introduction of intrusions in such operating systems is rising at a tremendous rate. With the introduction of such malicious data streams, the smart devices…

机器学习 · 计算机科学 2024-12-06 Madiha Tahreem , Ifrah Andleeb , Bilal Zahid Hussain , Arsalan Hameed

The major mobile platforms, Android and iOS, have introduced changes that restrict user tracking to improve user privacy, yet apps continue to covertly track users via device fingerprinting. We study the opportunity to improve this dynamic…

密码学与安全 · 计算机科学 2026-04-01 Alex Berke , Güliz Seray Tuncay , Michael Specter , Mihai Christodorescu

The pervasiveness of the Android operating system, with the availability of applications almost for everything, is readily accessible in the official Google play store or a dozen alternative third-party markets. Additionally, the vital role…

密码学与安全 · 计算机科学 2019-04-02 Abdelmonim Naway , Yuancheng LI

We have carefully instrumented a large portion of the population living in a university graduate dormitory by giving participants Android smart phones running our sensing software. In this paper, we propose the novel problem of predicting…

社会与信息网络 · 计算机科学 2011-06-06 Wei Pan , Nadav Aharony , Alex Pentland

Recent studies have shown that aggregate CPU usage and power consumption traces on smartphones can leak information about applications running on the system or websites visited. In response, access to such data has been blocked for mobile…

密码学与安全 · 计算机科学 2019-09-10 Nikolay Matyunin , Yujue Wang , Tolga Arul , Kristian Kullmann , Jakub Szefer , Stefan Katzenbeisser

We evaluate the power of simple networks side-channels to violate user privacy on Android devices. Specifically, we show that, using blackbox network metadata alone (i.e., traffic statistics such as transmission time and size of packets) it…

密码学与安全 · 计算机科学 2018-07-10 Mikhail Andreev , Avi Klausner , Trishita Tiwari , Ari Trachtenberg , Arkady Yerukhimovich

On-device deep learning is rapidly gaining popularity in mobile applications. Compared to offloading deep learning from smartphones to the cloud, on-device deep learning enables offline model inference while preserving user privacy.…

机器学习 · 计算机科学 2022-04-26 Yujin Huang , Chunyang Chen

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…

软件工程 · 计算机科学 2025-11-27 M. Alecci , P. Jiménez , J. Samhi , T. Bissyandé , J. Klein

Android's open-source nature facilitates widespread smartphone accessibility, particularly in price-sensitive markets. System and vendor applications that come pre-installed on budget Android devices frequently operate with elevated…

Throughout recent years, the importance of internet-privacy has continuously risen. [...] Browser fingerprinting is a technique that does not require cookies or persistent identifiers. It derives a sufficiently unique identifier from the…

密码学与安全 · 计算机科学 2022-10-21 Sebastian Neef

With the emergence of deep learning techniques, smartphone apps are now embedded on-device AI features for enabling advanced tasks like speech translation, to attract users and increase market competitiveness. A good interaction design is…

人机交互 · 计算机科学 2023-07-04 Jason Ching Yuen Siu , Jieshan Chen , Yujin Huang , Zhenchang Xing , Chunyang Chen

Web communication has become an indispensable characteristic of mobile apps. However, it is not clear what data the apps transmit, to whom, and what consequences such transmissions have. We analyzed the web communications found in mobile…

密码学与安全 · 计算机科学 2020-06-03 Pascal Gadient , Mohammad Ghafari , Marc-Andrea Tarnutzer , Oscar Nierstrasz

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…

密码学与安全 · 计算机科学 2019-12-30 Soumya Sourav , Devashish Khulbe , Naman Kapoor

Third party tracking allows companies to identify users and track their behaviour across multiple digital services. This paper presents an empirical study of the prevalence of third-party trackers on 959,000 apps from the US and UK Google…

计算机与社会 · 计算机科学 2018-10-19 Reuben Binns , Ulrik Lyngs , Max Van Kleek , Jun Zhao , Timothy Libert , Nigel Shadbolt