Deep Learning for Security and Privacy Preservation in IoT
暫譯: 物聯網中的深度學習安全與隱私保護

Makkar, Aaisha, Kumar, Neeraj

Deep Learning for Security and Privacy Preservation in IoT
  • 出版商: Springer
  • 出版日期: 2022-04-04
  • 售價: $8,020
  • 貴賓價: 9.5 折 $7,619
  • 語言: 英文
  • 頁數: 192
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9811661855
  • ISBN-13: 9789811661853
  • 相關分類: DeepLearning、物聯網 IoT、資訊安全

    • 海外代購書籍(需單獨結帳)

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商品描述

This book addresses the issues with privacy and security in Internet of things (IoT) networks which are susceptible to cyber-attacks and proposes deep learning-based approaches using artificial neural networks models to achieve a safer and more secured IoT environment. Due to the inadequacy of existing solutions to cover the entire IoT network security spectrum, the book utilizes artificial neural network models, which are used to classify, recognize, and model complex data including images, voice, and text, to enhance the level of security and privacy of IoT. This is applied to several IoT applications which include wireless sensor networks (WSN), meter reading transmission in smart grid, vehicular ad hoc networks (VANET), industrial IoT and connected networks. The book serves as a reference for researchers, academics, and network engineers who want to develop enhanced security and privacy features in the design of IoT systems.

商品描述(中文翻譯)

本書探討了物聯網（IoT）網絡中隱私和安全性問題，這些網絡易受網絡攻擊，並提出基於深度學習的方法，使用人工神經網絡模型來實現更安全的物聯網環境。由於現有解決方案無法涵蓋整個物聯網網絡安全範疇，本書利用人工神經網絡模型，這些模型用於分類、識別和建模複雜數據，包括圖像、語音和文本，以提高物聯網的安全性和隱私水平。這些方法應用於多個物聯網應用，包括無線感測器網絡（WSN）、智慧電網中的計量讀取傳輸、車輛自組織網絡（VANET）、工業物聯網和連接網絡。本書作為研究人員、學術界和網絡工程師的參考，旨在幫助他們在物聯網系統設計中開發增強的安全性和隱私功能。

作者簡介

Aaisha Makkar received her Bachelor of Computer Applications degree from Panjab University, Chandigarh, India, in 2010 and Master of Computer Applications from National Institute of Technology (NIT), Kurukshetra, India, in 2013. She had worked as an assistant professor in Computer Application Department of NIT, Kurukshetra. She is currently pursuing her Ph.D. degree from Computer Science and Engineering Department in Thapar Institute of Engineering and Technology, Patiala (Punjab), India. Her research interests include data mining, web mining, algorithms, machine learning, and Internet of things.

 

Prof. Neeraj Kumar (SM’17) received his Ph.D. in CSE from Shri Mata Vaishno Devi University, Katra (Jammu and Kashmir), India, in 2009, and was a postdoctoral research fellow in Coventry University, Coventry, UK. He is working as a professor in the Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology (Deemed to be University), Patiala (Pb.), India. He has published more than 400 technical research papers in top-cited journals such as IEEE TKDE, IEEE TIE, IEEE TDSC, IEEE TITS, IEEE TCE, IEEE TII, IEEE TVT, IEEE ITS, IEEE SG, IEEE Netw., IEEE Comm., IEEE WC, IEEE IoTJ, IEEE SJ, Computer Networks, Information sciences, FGCS, JNCA, JPDC, and ComCom. He has guided many research scholars leading to Ph.D. and M.E./M.Tech. His research is supported by funding from UGC, DST, CSIR, and TCS. He is an associate technical editor of IEEE Communication Magazine. He is an associate editor of IJCS, Wiley, JNCA, Elsevier, Elsevier Computer Communications, and Security and Communication, Wiley. He has been a guest editor of various International Journals of repute such as―IEEE Access, IEEE Communication Magazine, IEEE Network Magazine, Computer Networks, Elsevier, Future Generation Computer Systems, Elsevier, and Journal of Medical Systems, Springer, Computer and Electrical Engineering, Elsevier, Mobile Information Systems, International Journal of Ad hoc and Ubiquitous Computing, Telecommunication Systems, Springer, and Journal of Supercomputing, Springer. He has been a workshop chair at IEEE Globecom 2018 and IEEE ICC 2019 and TPC Chair and a member for various International conferences. He is senior member of the IEEE. He has more than 9406 citations to his credit with current h-index of 53. He has won the best papers award from IEEE Systems Journal and ICC 2018, Kansas City, in 2018. He is a visiting research fellow at Coventry University, Newcastle University, UK.

作者簡介(中文翻譯)

Aaisha Makkar於2010年在印度昌迪加爾的旁遮普大學獲得計算機應用學士學位，並於2013年在印度庫魯克舍特拉的國立技術學院（NIT）獲得計算機應用碩士學位。她曾在NIT庫魯克舍特拉的計算機應用系擔任助理教授。目前，她正在印度旁遮普的塔帕爾工程技術學院的計算機科學與工程系攻讀博士學位。她的研究興趣包括數據挖掘、網絡挖掘、算法、機器學習和物聯網。

Neeraj Kumar教授（SM’17）於2009年在印度查謨和克什米爾的Shri Mata Vaishno Devi University獲得計算機科學與工程博士學位，並曾在英國考文垂大學擔任博士後研究員。他目前在印度旁遮普的塔帕爾工程技術學院（被認定為大學）的計算機科學與工程系擔任教授。他在IEEE TKDE、IEEE TIE、IEEE TDSC、IEEE TITS、IEEE TCE、IEEE TII、IEEE TVT、IEEE ITS、IEEE SG、IEEE Netw.、IEEE Comm.、IEEE WC、IEEE IoTJ、IEEE SJ、Computer Networks、Information sciences、FGCS、JNCA、JPDC和ComCom等高引用期刊上發表了400多篇技術研究論文。他指導了許多研究學者，並促成了他們獲得博士和碩士（M.E./M.Tech）學位。他的研究得到了UGC、DST、CSIR和TCS的資助支持。他是IEEE Communication Magazine的副技術編輯，也是IJCS、Wiley、JNCA、Elsevier、Elsevier Computer Communications和Security and Communication, Wiley的副編輯。他曾擔任多個知名國際期刊的客座編輯，如IEEE Access、IEEE Communication Magazine、IEEE Network Magazine、Computer Networks、Elsevier、Future Generation Computer Systems、Elsevier和Journal of Medical Systems、Springer、Computer and Electrical Engineering、Elsevier、Mobile Information Systems、International Journal of Ad hoc and Ubiquitous Computing、Telecommunication Systems、Springer和Journal of Supercomputing、Springer。他曾擔任IEEE Globecom 2018和IEEE ICC 2019的研討會主席，並擔任多個國際會議的TPC主席和成員。他是IEEE的高級會員，擁有超過9406次引用，當前h-index為53。他在2018年獲得了IEEE Systems Journal和ICC 2018（堪薩斯城）的最佳論文獎。他是英國考文垂大學和紐卡斯爾大學的訪問研究員。

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