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 …
This is the artifact for PSMark. PSMark is a distributed, multi-protocol benchmark for evaluating topic-filtered publish/subscribe systems under workloads representative of real-world IoT deployments. It supports heterogeneous device configurations, …
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 …
In recent years, the rapid expansion of the Internet of Things (IoT) has introduced significant cybersecurity challenges, requiring manufacturers to comply with various regulatory frameworks and cybersecurity standards. Hence, to protect user data …
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 …
Given the pervasiveness of Bluetooth Low Energy (BLE)-based devices, detecting unwanted or suspicious trackers is challenging, especially due to their heterogeneity, cross-platform compatibility issues, and inconsistent detection methods. BL(u)E CRAB …
Long queues in retail and public environments can frustrate customers and negatively impact user experiences. Traditional camera-based monitoring systems are effective in analyzing queues, however, the potential for identification raises privacy …
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 …