Bruno Rodrigues

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Prof. Dr.
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Rodrigues
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Bruno
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bruno.rodrigues@unisg.ch
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    SHIFT: a Security and Home Integration Framework for IoT
    (2024)
    Müller, Katharina
    ;
    Schumm, Daria
    ;
    Wallace, Elliott
    ;
    Bruno Rodrigues  
    ;
    Stiller, Burkhard
    With the growing popularity of Internet-of-Things (IoT) and the smart home market, third party data stores and remote cloud environments, security and privacy of personal data is the central problem. Since the existing Privacy Enhancing Technologies (PET) have yet to provide a lightweight solution to safeguard privacy within smart homes, this paper presents the Security and Home Integration Framework for IoT (SHIFT). SHIFT leverages an open-source architecture to integrate existing tools, including home assistants and network monitors, into a unified framework designed to monitor and control smart home devices through security policies. The proof-ofconcept prototype for monitoring and controlling smart home device communications using user-defined policies successfully monitors device activity, processes data, and enforces user policies in a live smart home environment. SHIFT gives users control over their devices and data while balancing convenience with privacy and security.
    Type:conference paper
    URL:https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10575751
    DOI:10.1109/NOMS59830.2024.10575751
    URI:https://www.alexandria.unisg.ch/handle/20.500.14171/121597
    Scopus© Citations 1
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    HomeScout: Anti-Stalking Mobile App for Bluetooth Low Energy Devices
    (IEEE, 2023-10-02)
    Müller, Katharina
    ;
    Bienz, Louis
    ;
    Bruno Rodrigues  
    ;
    Feng, Chao
    ;
    Stiller, Burkhard
    Bluetooth Low Energy (BLE) personal trackers are affordable devices misused to track nonconsensual individuals. Due to the increased misuse, Apple implemented two detection applications. However, the Android application is limited to user-initiated scans with a fixed detection algorithm. This paper focuses on reducing the misuse of malicious trackers by examining current solutions, potential generic detection approaches, and improving tracker detection times. HomeScout expands detection to the Tile and Samsung Galaxy SmartTag+, and examines the misuse potential of all BLE-enabled devices. HomeScout can reliably detect devices tracking the user as quickly as 1 minute once in motion by optimizing the parameters. The optimal parameter setting for distance is 200 m due to its high recall rate, for occurrence is 2, and for time is 1 minute. Furthermore, HomeScout applies the tracking algorithm to all BLE-enabled devices.
    Type:conference paper
    Journal:2023 IEEE 48th Conference on Local Computer Networks (LCN)
    URL:https://ieeexplore.ieee.org/abstract/document/10223406
    DOI:10.1109/LCN58197.2023.10223406
    URI:https://www.alexandria.unisg.ch/handle/20.500.14171/121609
    Scopus© Citations 3