7,293 research outputs found

    Peeves: Physical Event Verification in Smart Homes

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    This 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

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    This 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

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    This 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)

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    We 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

    Model Weights for "Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting"

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    Model weights for use with the SatIQ fingerprinting models used in the paper “Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting”. The models are used to authenticate Iridium satellites from high sample rate message headers. The data collection and model code can be found at the following URL: https://github.com/ssloxford/SatIQ The preprint is available on arXiv at the following URL: https://arxiv.org/abs/2305.06947 The final trained model is ae-triplet-final.h5. The others are from the additional experiments and analyses described in the paper, and are included for completeness. When using this data, please cite the following paper: “Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting”. The BibTeX entry is given below: @inproceedings{smailesWatch2023, author = {Smailes, Joshua and K{\"o}hler, Sebastian and Birnbach, Simon and Strohmeier, Martin and Martinovic, Ivan}, title = {{Watch This Space}: {Securing Satellite Communication through Resilient Transmitter Fingerprinting}}, year = {2023}, publisher = {Association for Computing Machinery}, booktitle = {Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security}, location = {Copenhagen, Denmark}, series = {CCS '23}

    Robust Smartphone App Identification via Encrypted Network Traffic Analysis

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    The 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

    Yuriy Hryvniak as a researcher of the biography of Ivan Puluj

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    Матеріал тез присвячено дослідженню сторінок біографії Юрія Гривняка - автора монографії про Івана Пулюя, яку було опубліковано 1971 року у Лондоні завдяки фінансовій підтримці Союзу українців у Великій Британії. Автором було використано ряд фото та архівних матеріалів, отриманих від О. Пулюя. На жаль, творчість і життєвий шлях Ю. Гривняка є маловідомими в Україні, а доля зібраних ним джерел потребує фахового дослідженняThese theses are devoted to the study of the pages of Yuriy Hryvniak’s biography. He was the author of a monograph dedicated to the study of the life and activities of the famous Ukrainian scientist and public figure Ivan Puluj. The author used a number of photos and archival materials received from O. Puluj. Unfortunately, the creativity and life path of Y. Hryvniak is little known in Ukraine, and the fate of the sources collected by him requires professional researc

    Note from David Kirchman to Ivan Valiela at the Ecosystems Center

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    Title page of the book "Processes in Microbal Ecology". The author, David L. Kirchman, has written a note to Ecosystems Center scientist Ivan Valiela.Note reads: "Ivan- You & the MBL Marine Ecology course got me going in this field. Thanks. David Kirchman"photograph

    Ivan Žuvela Šabo and His Etnographic Record from 1892

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    U ovom tekstu otkriva se identitet autora jednog starijeg etnografskog zapisa nastalog na otoku Korčuli. Riječ je o rukopisu „Narodne pjesme junačke i žetelačke“ iz 1892., a koji se čuva u Arhivu Odsjeka za etnologiju Hrvatske akademije znanosti i umjetnosti u Zagrebu. Iako je u tom rukopisu autor potpisan kao „Ivan Žuvela, pravnik“, dosada ga se nije moglo točnije identificirati, iznesena je kriva pretpostavka, a čak se i spekuliralo da je riječ o pseudonimu. Istraživanjem dostupnih izvora i novinskih zapisa ipak se utvrdilo kako je zaista riječ o Velolučaninu Ivanu Žuveli iz grane Šabo, studentu prava koji je umro u svojoj 23-oj godini života, samo godinu dana po nastanku ovog rukopisa. Uz autora, u tekstu se detaljno progovara o rukopisu i njegovom iznimnom značaju za proučavanje nekadašnje svakodnevice, a posebno žetelačkih običaja na zapadnom dijelu otoka Korčule.This text reveals the identity of the hitherto unknown author one of the oldest known ethnographic record from the island of Korčula. The manuscript titled “Narodne pjesme junačke i žetelačke” (Folk Songs of Heroes and Harvesters) dates back to 1892 and is preserved in the Archive of the Ethnology Division at the Croatian Academy of Sciences and Arts in Zagreb. Although the author of the manuscript is signed as “Ivan Žuvela, legal scholar,” his precise identification has remained elusive, with incorrect assumptions and even speculation about a possible pseudonym. Through research of available sources and newspaper records, it has now been conclusively determined that the author is indeed Ivan Žuvela from Vela Luka, a member of the Šabo family, and a law student who passed away at the age of 23, just a year after creating this manuscript. In addition to introducing the author, this text provides a detailed exploration of the manuscript and its exceptional significance for studying the everyday life of the past, particularly the harvesting customs on the western part of the island of Korčula
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