Seamless and secure bluetooth LE connection migration

Syed Rafiul Hussain, Shagufta Mehnaz, Shahriar Nirjon, Elisa Bertino

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations

    Abstract

    At present, Bluetooth Low Energy (BLE) is dominantly used in commercially available Internet of Things (IoT) devices - such as smart watches, fitness trackers, and smart appliances. Compared to classic Bluetooth, BLE has been simplified in many ways that include its connection establishment, data exchange, and encryption processes. Unfortunately, this simplification comes at a cost. For example, only a star topology is supported in BLE environments and a peripheral (an IoT device) can communicate with only one gateway (e.g. a smartphone, or a BLE hub) at a set time. When a peripheral goes out of range, it loses connectivity to a gateway, and cannot connect and seamlessly communicate with another gateway without user interventions. In other words, BLE connections do not get automatically migrated or handed-off to another gateway. In this paper, we propose a system which brings seamless connectivity to BLE-capable mobile IoT devices in an environment that consists of a network of gateways. Our framework ensures that unmodified, commercial off-The-shelf BLE devices seamlessly and securely connect to a nearby gateway without any user intervention.

    Original languageEnglish (US)
    Title of host publicationCODASPY 2017 - Proceedings of the 7th ACM Conference on Data and Application Security and Privacy
    PublisherAssociation for Computing Machinery, Inc
    Pages147-149
    Number of pages3
    ISBN (Electronic)9781450345231
    DOIs
    StatePublished - Mar 22 2017
    Event7th ACM Conference on Data and Application Security and Privacy, CODASPY 2017 - Scottsdale, United States
    Duration: Mar 22 2017Mar 24 2017

    Publication series

    NameCODASPY 2017 - Proceedings of the 7th ACM Conference on Data and Application Security and Privacy

    Conference

    Conference7th ACM Conference on Data and Application Security and Privacy, CODASPY 2017
    CountryUnited States
    CityScottsdale
    Period3/22/173/24/17

    All Science Journal Classification (ASJC) codes

    • Computer Science Applications
    • Information Systems
    • Software

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