1,721,162 research outputs found
Peeves: Physical Event Verification in Smart Homes
No full textThis is the dataset collected for the 2019 ACM CCS paper "Peeves: Physical Event Verification in Smart Homes". We provide a .zip file with the collected sensor and event data and a readme file that describes the data format and structure. If you use any of the data, please cite the original paper as follows: @inproceedings{sbirnbach2019, title={Peeves: Physical Event Verification in Smart Homes}, author={Birnbach, Simon and Eberz, Simon and Martinovic, Ivan}, booktitle={Proceedings of the 2019 ACM Conference on Computer and Communications Security}, year={2019}, organization={ACM}
When your fitness tracker betrays you: quantifying the predictability of biometric features across contexts
Full text linkThis is the dataset collected for the 2018 IEEE S&P paper "When Your Fitness Tracker Betrays You: Quantifying the Predictability of Biometric Features Across Contexts". We provide .zip files for each individual biometric and a readme file that describes the data format and structure. If you use any of the data, please cite the original paper as follows:
@inproceedings{seberz2018,
title={When Your Fitness Tracker Betrays You:
Quantifying the Predictability of Biometric Features Across Contexts},
author={Eberz, Simon and Lovisotto, Giulio and Patan\`e, Andrea
and Kwiatkowska, Marta and Lenders, Vincent and Martinovic, Ivan},
booktitle={Proceedings of the 2018 IEEE Symposium on Security and Privacy},
year={2018},
organization={IEEE}
BeeHIVE: Behavioral Biometric System based on Object Interactions in Smart Environments
Full text linkThis is the dataset collected for the paper "BeeHIVE: Behavioral Biometric System based on Object Interactions in Smart Environments". We provide a .zip file with the collected data and a readme file that describes the data format and structure. If you use any of the data, please cite the original paper as follows: @article{krawiecka2022beehive,
author = {Krawiecka, Klaudia and Birnbach, Simon and Eberz, Simon and Martinovic, Ivan},
title = {BeeHIVE: Behavioral Biometric System based on Object Interactions in Smart Environments},
year = {2022},
url = {https://arxiv.org/abs/2202.03845},
eprint = {2202.03845},
archivePrefix = {arXiv},
primaryClass = {cs.CR}
WatchAuth dataset (original)
No full textWe collected inertial sensor data on a smartwatch as users performed activities. The data contains the tap gestures (n=16) as users performed tap gestures against payment terminals and activity data (n=9) as users performed out-of-lab activities (walking, commuting, in-store, or a combination of them). The data is segmented into 6-second gestures, from 4 seconds before the NFC contact point to 2 seconds after, for tap gestures and into 4-second non-gestures with a 2-second overlap for the out-of-lab data
Dataset for "Sticky Fingers: Resilience of Satellite Fingerprinting against Jamming Attacks"
No full text<p>Labelled dataset of Iridium “ring alert” downlink messages, including message headers captured at 25MS/s, with varying amounts of noise added to the signal. Message metadata includes satellite and transmitter identifier, satellite position, timestamp, and estimated noise level. The dataset contains 540066 messages.</p>
<p>This data was originally collected for the paper “Sticky Fingers: Resilience of Satellite Fingerprinting against Jamming Attacks”, and was used to evaluate the resilience of satellite fingerprinting systems against jamming attacks. The work was based upon the previous paper “Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting”, and uses the paper's trained models and code, linked in the “Related Works” section.</p>
<p>The data collection and analysis code (including usage instructions for this dataset) can be found at the following URL: <a href="https://github.com/ssloxford/SatIQ-noise">https://github.com/ssloxford/SatIQ-noise</a></p>
<p>The preprint is available on arXiv at the following URL: <a href="https://arxiv.org/abs/2402.05042">https://arxiv.org/abs/2402.05042</a></p>
<p>When using this dataset, please cite the following paper: “Sticky Fingers: Resilience of Satellite Fingerprinting against Jamming Attacks”. The BibTeX entry is given below:</p>
<pre><code>@inproceedings{smailesSticky2024,
author = {Smailes, Joshua and Salkield, Edd and K{\"o}hler, Sebastian and Birnbach, Simon and Strohmeier, Martin and Martinovic, Ivan},
title = {{Sticky Fingers}: {Resilience of Satellite Fingerprinting against Jamming Attacks}},
year = {2024},
booktitle = {Workshop on the Security of Space and Satellite Systems (SpaceSec)},
location = {San Diego, USA},
series = {SpaceSec '24}
}</code></pre>
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Robust Smartphone App Identification via Encrypted Network Traffic Analysis
Full text linkThe apps installed on a smartphone can reveal much information about a user, such as their medical conditions, sexual orientation, or religious beliefs. In addition, the presence or absence of particular apps on a smartphone can inform an adversary, who is intent on attacking the device. In this paper, we show that a passive eavesdropper can feasibly identify smartphone apps by fingerprinting the network traffic that they send. Although SSL/TLS hides the payload of packets, sidechannel data, such as packet size and direction is still leaked from encrypted connections. We use machine learning techniques to identify smartphone apps from this side-channel data. In addition to merely fingerprinting and identifying smartphone apps, we investigate how app fingerprints change over time, across devices, and across different versions of apps. In addition, we introduce strategies that enable our app classification system to identify and mitigate the effect of ambiguous traffic, i.e., traffic in common among apps, such as advertisement traffic. We fully implemented a framework to fingerprint apps and ran a thorough set of experiments to assess its performance. We fingerprinted 110 of the most popular apps in the Google Play Store and were able to identify them six months later with up to 96% accuracy. Additionally, we show that app fingerprints persist to varying extents across devices and app versions
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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