IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety

IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety

Enables readers to understand a broad area of state-of-the-art research in physical IoT-enabled security

IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety describes new techniques in unobtrusive surveillance that enable people to act and communicate freely, while at the same time protecting them from malevolent behavior. It begins by characterizing the latest on surveillance systems deployed at smart campuses, miniatures of smart cities with more demanding frameworks that enable learning, social interaction, and creativity, and by performing a comparative assessment in the area of unobtrusive surveillance systems for smart campuses.

A proposed taxonomy for IoT-enabled smart campus unfolds in five research dimensions: (1) physical infrastructure; (2) enabling technologies; (3) software analytics; (4) system security; and (5) research methodology. By applying this taxonomy and by adopting a weighted scoring model on the surveyed systems, the book presents the state of the art and then makes a comparative assessment to classify the systems.

Finally, the book extracts valuable conclusions and inferences from this classification, providing insights and directions towards required services offered by unobtrusive surveillance systems for smart campuses.

IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety includes specific discussion of:

• Smart campus's prior work taxonomies and classifications, a proposed taxonomy, and an adopted weight scoring model

• Personal consumer benefits and potential social dilemmas encountered when adopting an unobtrusive surveillance system

• Systems that focus on smart buildings, public spaces, smart lighting and smart traffic lights, smart labs, and smart campus ambient intelligence

• A case study of a spatiotemporal authentication unobtrusive surveillance system for smart campus safety and emerging issues for further research directions

IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety is an essential resource for computer science and engineering academics, professionals, and every individual who is working and doing research in the area of unobtrusive surveillance systems and physical security to face malevolent behavior in smart campuses.

Auteur

Theodoros Anagnostopoulos, PhD, is a Lecturer (Teaching) in Computer Science at the DigiT.DSS.Lab in the Department of Business Administration at the University of West Attica, Greece. He is also an Associate Academic in Artificial Intelligence (AI) at the Essence: Pervasive & Distributed Intelligence Laboratory with the School of Computing Science in the University of Glasgow, United Kingdom, and Associated Lecturer in Internet of Things (IoT) at the International Research Laboratory in Modern Communications Technologies and Applications in Economics and Finances in the Department of Infocommunication Technologies at the ITMO University, Russia.