Creating ralphzilla

Byun, Dong Joo; Ros, Alberto Luceno; Moaveni, Alexander; Bryant, Marc; Tong, Joyce Le; El-Ali, Moe

doi:10.1145/3306307.3328179

Cited by 2 publications

(1 citation statement)

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“…On the other side, a more dynamic device (e.g., smartphone and smart glasses) eases the recognition of pick‐pocketing actions looking at the person's movement in a crowd. Subsequently, we aimed at creating a service platform, namely a software infrastructure and data pipeline after that IoT devices could interact with each other, 20 aiming to improve the accuracy of the targeted hazard scenarios' recognition (e.g., pick‐pocketing, mosh pit detection, 21 and terrorist attack on the crowd). Finally, in order to evaluate the platform architecture proposed in this study, we used nonfunctional metrics outlined by previous work in Chung et al 22 (see a detailed description in Section 3.2).…”

Section: Methodsmentioning

confidence: 99%

Internet‐of‐things architectures for secure cyber–physical spaces: The VISOR experience report

Pascale

Cascavilla

Sangiovanni

et al. 2022

J Software Evolu Process

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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 everincreasing. 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 pickpocketing. Our results pave the way to select optimal IoT architecture configurations-that is, a mix of CCTV, drones, smart glasses, and camera phones in our case-to make safer cyber-physical spaces' a reality.

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Section: Methodsmentioning

confidence: 99%