Internet-of-Things Architectures for Secure Cyber-Physical Spaces: the VISOR Experience Report

TL;DR

This paper reports on a field study of IoT device configurations, including drones and cameras, to enhance security in cyber-physical spaces like public events, demonstrating effective combinations for detecting malicious activities.

Contribution

It presents an empirical evaluation of various IoT device configurations for security in cyber-physical spaces, guiding optimal architecture design.

Findings

Optimal device mixes identified for security scenarios

Performance benchmarks for drones, CCTV, and smart glasses

Feasibility of multi-device IoT security solutions

Abstract

Internet of things (IoT) technologies are becoming a more and more widespread part of civilian life in common urban spaces, which are rapidly turning into cyber-physical spaces. Simultaneously, the fear of terrorism and crime in such public spaces is ever-increasing. Due to the resulting increased demand for security, video-based IoT surveillance systems have become an important area for research. Considering the large number of devices involved in the illicit recognition task, we conducted a field study in a Dutch Easter music festival in a national interest project called VISOR to select the most appropriate device configuration in terms of performance and results. We iteratively architected solutions for the security of cyber-physical spaces using IoT devices. We tested the performance of multiple federated devices encompassing drones, closed-circuit television, smart phone cameras, and smart glasses to detect real-case scenarios of potentially malicious activities such as mosh-pits and pick-pocketing. Our results pave the way to select optimal IoT architecture configurations -- i.e., a mix of CCTV, drones, smart glasses, and camera phones in our case -- to make safer cyber-physical spaces' a reality.