Modern AI applications increasingly run on geographically distributed and heterogeneous infrastructures that combine high-performance computing (HPC) systems, cloud platforms, and resource-constrained edge devices. Research testbeds provide such …
Detecting malicious Bluetooth Low Energy (BLE) trackers remains challenging because existing approaches rely on fixed time and distance thresholds that are brittle across environments. These heuristics produce false positives in dense environments …
The Publish/Subscribe (pub/sub) paradigm is widely used in the Internet of Things (IoT). Standalone sensors, wearables, and other devices act as producers that publish messages to consumers such as edge servers or even other IoT devices. Selecting …
Understanding how smart devices behave under real-world conditions remains challenging, as existing benchmarking tools often isolate metrics like energy consumption or protocol compliance without considering realistic interactions or coordinated use. …
Web-CozyBench is a web-based benchmarking platform built on Co-zyBench to evaluate occupant-centric HVAC control systems using Digital Twin simulations. It provides a GUI for defining building and occupant scenarios, selecting control strategies, …
This paper presents DigiGuide, an innovative system that leverages Digital Twin (DT) methodologies combined with multi-objective optimization algorithms to guide occupants to spaces that best meet their multi-variant comfort needs. DigiGuide …
IoT deployments in smart spaces can enable the development of useful services for their inhabitants. However, the diversity of smart spaces and their sensor infrastructures makes it challenging to develop space-agnostic applications. Moreover, …
The constant connectedness of smart home devices and their sensing capabilities pose a unique threat to individuals' privacy. While users may expect devices to exhibit minimal activity while they are not performing their intended functions, this is …