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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.
Introduction
Smart City
Smart Campus
Unobtrusive Surveillance Systems
Smart Campus Safety Systems Survey
Comparative Assessment
Classification and Proposed Solution
Smart Campus Spatiotemporal Authentication Unobtrusive Surveillance System for Smart Campus Safety
Human Factor as an Unobtrusive Surveillance System’s Adoption Parameter for Smart Campus Safety
Smart Campus Surveillance Systems Future Trends and Directions