Privacy Vulnerabilities and Data Security Challenges in the IoT
Agarwal, Shivani, Makkar, Sandhya, Tran, Duc-Tan
相關主題
商品描述
Privacy Vulnerabilities and Data Security Challenges in the IoT
Subject Guide: Engineering--Industrial and Manufacturing
This book discusses the evolution of security and privacy issues in the Internet of Things (IoT). The book focuses on assembling all security- and privacy-related technologies into a single source so that students, researchers, academics, and those in the industry can easily understand the IoT security and privacy issues.
This edited book discusses the use of security engineering and privacy-by-design principles to design a secure IoT ecosystem and to implement cyber-security solutions. This book takes the readers on a journey that begins with understanding security issues in IoT-enabled technologies and how these can be applied in various sectors. It walks readers through engaging with security challenges and building a safe infrastructure for IoT devices. The book helps researchers and practitioners understand the security architecture of IoT and the state-of-the-art in IoT countermeasures. It also differentiates security threats in IoT-enabled infrastructure from traditional ad hoc or infrastructural networks, and provides a comprehensive discussion on the security challenges and solutions in RFID and WSNs in IoT.
This book aims to highlight the concepts of related technologies and novel findings by researchers through its chapter organization. The primary audience comprises specialists, researchers, graduate students, designers, experts, and engineers undertaking research on security-related issues.
作者簡介
Shivani Agarwal is an Assistant Professor in KIET School of Management at KIET Group of Institutions, Ghaziabad, India. She has earned her PhD from Indian Institute of Technology (IIT, Roorkee) in Management. Prior to his current role, she was associated with Institute of Technology & Science, Ghaziabad, UP, India, HRIT Group of Institutions, Ghaziabad, UP, India; IIT Roorkee, UK, India and Center for Management Development, Modinagar, UP. She has attended several short term course at Indian Institute of Technology Roorkee, India, IIT Delhi, India; earned NPTEL certificate for Research Writing and Human resource Management. She has authored or co-authored more than 10 research articles that are published in journals, books and conference proceedings. She teaches graduate & post graduate level courses in management. She received Ph.D in Organization Behaviour (Psychology) from IIT Roorkee, India in 2015 and MBA from Guru Gobind Singh University, New Delhi, India in 2009 and a bachelor's degree in Science from Chaudhary Charan Singh University, Meerut, India in 2007. She is the Book Series Editor of Information Technology, Management & Operations Research Practices, CRC Press, Taylor & Francis Group, USA, She is guest editor with IGI-Global, USA. She can be contacted at jindal.shivani24@gmail.com .
Sandhya Makkar is working as Sr. Assistant Professor Department of Operations & Information Systems, Lal Bahadur Shastri Institute of Management, Delhi, India. She has more than 13 years of academic and research experience in Management Science, Supply Chain Optimization, Machine Learning and Big Data. She remained first class throughout her academic career. She holds University Rank during graduation (Mathematics) and post-graduation (Operational Research). She has completed doctoral degree (PhD) in the area of Supply Chain Optimization from University of Delhi, india (DU, Delhi) and has many research papers and articles to her credit. She is actively involved in the research on Supply Chain, Optimization, Artificial Intelligence and other related areas. She is an Area Convener of Logistics and Supply Chain Programme(L&SCM) Programme at Lal bahadur Shastri Institute of Management. She has authored or co-authored numerous research articles that are published in international journals, books and conference proceedings. Currently she is editing few books in the area of Management and Artificial Intelligence. She is also appointed as Book Series Editor of series 'Information Technology, Management, and Operations Research Practices', CRC Press & other series 'Big Data for Industry 4.0: Challenges & Applications', CRC Press, Taylor and Francis Group, USA. Dr. Sandhya has also reviewed various research papers in the same area for various conferences and journals. She is also a member of editorial team of American Association for Science and Technology (AASCIT). She has also presented her work in many International conferences.
Duc-Tan Tran is an Associate professor and Vice Dean of Faculty of Electrical and Electronic Engineering (FEEE), Phenikaa University. From August 2016 to May 2019, he was an Associate professor and Vice Dean ofElectronics and Telecommunication Faculty, VNU University of Engineering and Technology. He has published over 150 research papers. His publications received the "Best Paper Award" at the 9th International Conference on Multimedia and Ubiquitous Engineering (MUE-15), and International Conference on Green and Human Information Technology (ICGHIT-2015). He was the recipient of the award for the excellent young researcher from Vietnam National University in 2008, Hanoi and the third prize in the contest "Vietnamese Talents" in 2008. His main research interests include the representation, processing, analysis, and communication of information embedded in signals and datasets. He serves as a technical committee program member, track chair, session chair and reviewer of many international conferences and journals. He is a TPC co-chair of the 2016 International Conference on Advanced Technologies for Communications (http: //atc-conf.org/), the 2018 National Conference on Electronics, Communications and Information Technology (http: //rev-conf.org), the 2019 International Conference on Research in Intelligent and Computing in Engineering (http: //www.riceconference.in), and the 2019 International Conference on Advanced Technologies for Communications (http: //atc-conf.org/).
