Internet of Things

Towards Fast Detection of Suspicious Bluetooth Trackers using Anomaly Detection

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 …

Artifact: PSMark: A Distributed IoT Benchmark for Publish/Subscribe Under Domain-Based Workloads

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, …

PSMark: A Distributed IoT Benchmark for Publish/Subscribe Under Domain-Based Workloads

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 …

Scalable Automation for IoT CyberSecurity Compliance: Ontology-Driven Reasoning for Real-Time Assessment

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 …

BL(u)E CRAB: A User-Centric Framework for Identifying Suspicious Bluetooth Trackers

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 …

LOADS: LiDAR-based Privacy-Preserving Queue Monitoring and Analysis

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 …

Passive Mode for IoT

Addressing the current gap in IoT mode definitions by introducing and analyzing passive mode designations for smart devices

Your Smart Home Exchanged 3M Messages: Defining and Analyzing Smart Device Passive Mode

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 …

GenAIPABench: A Benchmark for Generative AI-based Privacy Assistants

Website privacy policies are often lengthy and intricate. Privacy assistants assist in simplifying policies and making them more accessible and user-friendly. The emergence of generative AI (genAI) offers new opportunities to build privacy assistants …

Co-zyBench: Using Co-Simulation and Digital Twins to Benchmark Thermal Comfort Provision in Smart Buildings

Heating, Ventilation, and Air Conditioning (HVAC) systems account for 40% to 50% of energy usage in commercial buildings. Thus, innovative ways to control and manage HVAC systems while preserving occupants' comfort are required. State-of-the-art …