Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances
暫譯: 數據驅動的智慧城市安全挖掘、學習與分析:趨勢與進展

Chakraborty, Chinmay, Lin, Jerry Chun-Wei, Alazab, Mamoun

  • 出版商: Springer
  • 出版日期: 2022-04-29
  • 售價: $6,330
  • 貴賓價: 9.5$6,014
  • 語言: 英文
  • 頁數: 383
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030721418
  • ISBN-13: 9783030721411
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

1. Smart City Ecosystem - An Introduction.- 2. Datafication for secured smart cities.- 3. Secured big data infrastructure services.- 4. Intelligent infrastructure of secured smart cities.- 5. Cyber-physical systems for secured smart cities.- 6. Blockchain for smart cities.- 7. Context-aware security and privacy of smart cities.- 7. Privacy and social Issues in smart cities.- 8. Sensor and RFID applications of smart cities.- 9. Advanced data mining for secured smart cities.- 10. Big data for secured smart cities.- 11. Data analytics tools and technologies for smart cities.- 12. Machine learning and AI for secured smart cities.

商品描述(中文翻譯)

1. 智慧城市生態系統 - 介紹
2. 為安全智慧城市進行數據化
3. 安全的大數據基礎設施服務
4. 安全智慧城市的智能基礎設施
5. 用於安全智慧城市的網絡物理系統
6. 區塊鏈在智慧城市中的應用
7. 智慧城市的情境感知安全與隱私
8. 智慧城市中的隱私與社會議題
9. 智慧城市的感測器與RFID應用
10. 用於安全智慧城市的先進數據挖掘
11. 用於安全智慧城市的大數據
12. 智慧城市的數據分析工具與技術
13. 用於安全智慧城市的機器學習與人工智慧

作者簡介

Chinmay Chakraborty is working as an Assistant Professor (Sr.) in the Dept. of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India. His main research interests include the Internet of Medical Things, Wireless Body Area Network, Wireless Networks, Telemedicine, m-Health/e-health, and Medical Imaging. Dr. Chakraborty has published 75 papers at reputed international journals, conferences, book chapters, and books. He is an Editorial Board Member in the different Journals and Conferences. He is serving as a Guest Editor of MDPI, Wiley, CRC, Springer, IGI, Inderscience, TechScience, BenthamScience Journals. Dr. Chakraborty is co-editing Eight books on Smart IoMT, Healthcare Technology, and Sensor Data Analytics with CRC Press, IET, Pan Stanford, and Springer. He received a Best Session Runner-up Award, Young Research Excellence Award, Global Peer Review Award, Young Faculty Award, and Outstanding Researcher Award.

Jerry Chun-Wei Lin received his Ph.D. from the Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, in 2010. He is currently a full Professor with the Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway. He has published more than 400 research articles in refereed journals, 11 edited books, as well as 33 patents (held and filed, 3 US patents). His research interests include data mining, soft computing, artificial intelligence and machine learning, and privacy-preserving and security technologies. He is the Editor-in-Chief of the International Journal of Data Science and Pattern Recognition, the Guest Editor/Associate Editor for several IEEE/ACM journals such as IEEE TFS, IEEE TII, ACM TMIS, ACM TOIT, and IEEE Access. He has recognized as the most cited Chinese Researcher respectively in 2018 and 2019 by Scopus/Elsevier. He is the Fellow of IET (FIET), senior member for both IEEE and ACM.


Mamoun Alazab is an Associate Professor at the College of Engineering, IT and Environment at Charles Darwin University, Australia. He received his PhD degree in Computer Science from the Federation University of Australia, School of Science, Information Technology and Engineering. He is a cyber security researcher and practitioner with industry and academic experience. Dr Alazab's research is multidisciplinary that focuses on cyber security and digital forensics of computer systems including current and emerging issues in the cyber environment like cyber-physical systems and internet of things, by taking into consideration the unique challenges present in these environments, with a focus on cybercrime detection and prevention. He looks into the intersection use of Artificial Intelligence and Machine Learning as essential tools for cybersecurity, for example, detecting attacks, analyzing malicious code or uncovering vulnerabilities in software and hardware.

作者簡介(中文翻譯)

Chinmay Chakraborty 目前擔任印度梅斯拉比爾拉科技學院電子與通信工程系的助理教授(高級)。他的主要研究興趣包括醫療物聯網(Internet of Medical Things)、無線人體區域網路(Wireless Body Area Network)、無線網路、遠程醫療(Telemedicine)、行動健康(m-Health/e-health)以及醫學影像(Medical Imaging)。Chakraborty博士在知名國際期刊、會議、書籍章節及書籍上發表了75篇論文。他是多個期刊和會議的編輯委員會成員,並擔任MDPI、Wiley、CRC、Springer、IGI、Inderscience、TechScience、BenthamScience期刊的客座編輯。Chakraborty博士與CRC Press、IET、Pan Stanford和Springer共同編輯了八本關於智慧醫療物聯網(Smart IoMT)、醫療科技(Healthcare Technology)和感測器數據分析(Sensor Data Analytics)的書籍。他曾獲得最佳會議報告亞軍獎、青年研究卓越獎、全球同行評審獎、青年教師獎及傑出研究者獎。

Jerry Chun-Wei Lin 於2010年在台灣台南的國立成功大學計算機科學與資訊工程系獲得博士學位。他目前是挪威卑爾根西挪威應用科學大學計算機科學、電氣工程及數學科學系的全職教授。他在同行評審的期刊上發表了超過400篇研究文章,編輯了11本書籍,並擁有33項專利(包括3項美國專利)。他的研究興趣包括數據挖掘(data mining)、軟計算(soft computing)、人工智慧(artificial intelligence)和機器學習(machine learning),以及隱私保護和安全技術。他是《國際數據科學與模式識別期刊》(International Journal of Data Science and Pattern Recognition)的主編,並擔任多個IEEE/ACM期刊的客座編輯/副編輯,如IEEE TFS、IEEE TII、ACM TMIS、ACM TOIT和IEEE Access。他在2018年和2019年分別被Scopus/Elsevier認定為最被引用的華人研究者。他是IET(FIET)院士,並且是IEEE和ACM的高級會員。

Mamoun Alazab 是澳大利亞查爾斯達爾文大學工程、資訊科技與環境學院的副教授。他在澳大利亞聯邦大學的科學、資訊科技與工程學院獲得計算機科學博士學位。他是一位擁有產業和學術經驗的網絡安全研究者和實踐者。Alazab博士的研究是多學科的,專注於計算機系統的網絡安全和數位取證,涵蓋當前和新興的網絡環境問題,如網絡物理系統(cyber-physical systems)和物聯網(internet of things),並考慮到這些環境中存在的獨特挑戰,重點在於網絡犯罪的檢測和預防。他研究人工智慧和機器學習的交叉應用,作為網絡安全的重要工具,例如檢測攻擊、分析惡意代碼或發現軟體和硬體中的漏洞。