IoT-enabled Unobtrusive Surveillance Systems for Smart Campus Safety
暫譯: 物聯網驅動的隱形監控系統於智慧校園安全
Anagnostopoulos, Theodoros
相關主題
商品描述
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.
商品描述(中文翻譯)
使讀者能夠理解物理物聯網（IoT）安全領域的最新研究
物聯網驅動的無干擾監控系統在智慧校園安全中的應用描述了無干擾監控的新技術，這些技術使人們能夠自由行動和交流，同時保護他們免受惡意行為的侵害。該書首先描述了在智慧校園中部署的監控系統的最新情況，這些智慧校園是智慧城市的縮影，擁有更高要求的框架，促進學習、社交互動和創造力，並對智慧校園的無干擾監控系統進行比較評估。
針對物聯網驅動的智慧校園，提出了一個五個研究維度的分類法：（1）物理基礎設施；（2）啟用技術；（3）軟體分析；（4）系統安全；（5）研究方法論。通過應用這一分類法並採用加權評分模型對調查的系統進行評估，該書展示了最新技術的現狀，並進行比較評估以對系統進行分類。
最後，該書從這一分類中提取出有價值的結論和推論，提供了對無干擾監控系統在智慧校園中所需服務的見解和方向。
物聯網驅動的無干擾監控系統在智慧校園安全中的應用包括以下具體討論：
- 智慧校園的先前工作分類法和分類、提出的分類法以及採用的加權評分模型
- 個人消費者在採用無干擾監控系統時所獲得的好處和潛在的社會困境
- 專注於智慧建築、公共空間、智慧照明和智慧交通信號燈、智慧實驗室以及智慧校園環境智能的系統
- 針對智慧校園安全的時空身份驗證無干擾監控系統的案例研究及進一步研究方向的出現問題
物聯網驅動的無干擾監控系統在智慧校園安全中的應用是計算機科學和工程學術界、專業人士以及所有在無干擾監控系統和物理安全領域工作和研究的人士的重要資源，以應對智慧校園中的惡意行為。
作者簡介
Theodoros Anagnostopoulos, PhD, is a Lecturer (Teaching) in Computer Science in the Department of Business Administration at the University of West Attica, Greece. He is also an Associate Academic in Artificial Intelligence 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 in the Department of Infocommunication Technologies at ITMO University, Russia.
作者簡介(中文翻譯)
西奧多羅斯·阿納格諾斯托普洛斯（Theodoros Anagnostopoulos），博士，是希臘西阿提卡大學商業管理系的計算機科學講師（教學）。他同時也是英國格拉斯哥大學計算科學學院的人工智慧副學術人員，以及俄羅斯ITMO大學資訊通信技術系現代通信國際研究實驗室的物聯網（IoT）副講師。
