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      IoT Security Paradigms and Applications

      Research and Practices

      AvSudhir Kumar Sharma,Bharat Bhushan

      Inbunden, Engelska, 2020

      Del i serien Computational Intelligence in Engineering Problem Solving

      2 445 kr

      Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

      Beskrivning

      Integration of IoT (Internet of Things) with big data and cloud computing has brought forward numerous advantages and challenges such as data analytics, integration, and storage. This book highlights these challenges and provides an integrating framework for these technologies, illustrating the role of blockchain in all possible facets of IoT security. Furthermore, it investigates the security and privacy issues associated with various IoT systems along with exploring various machine learning-based IoT security solutions. This book brings together state-of-the-art innovations, research activities (both in academia and in industry), and the corresponding standardization impacts of 5G as well. Aimed at graduate students, researchers in computer science and engineering, communication networking, IoT, machine learning and pattern recognition, this book Showcases the basics of both IoT and various security paradigms supporting IoT, including Blockchain Explores various machine learning-based IoT security solutions and highlights the importance of IoT for industries and smart cities Presents various competitive technologies of Blockchain, especially concerned with IoT security Provides insights into the taxonomy of challenges, issues, and research directions in IoT-based applications Includes examples and illustrations to effectively demonstrate the principles, algorithm, applications, and practices of security in the IoT environment

      Produktinformation

      • Utgivningsdatum:2020-10-08
      • Mått:156 x 234 x 26 mm
      • Vikt:810 g
      • Format:Inbunden
      • Språk:Engelska
      • Serie:Computational Intelligence in Engineering Problem Solving
      • Antal sidor:338
      • Förlag:Taylor & Francis Ltd
      • ISBN:9780367514969

      Utforska kategorier

      • Elektronik och kommunikationer inom Naturvetenskap och teknik
      • Programvaruutveckling inom Data och IT
      • Nätverk och kommunikation inom Data och IT

      Mer om författaren

      Sudhir Kumar Sharma is currently a Professor in the Department of Computer Science, Institute of Information Technology & Management affiliated to GGSIPU, New Delhi, India. He has extensive experience for over 19 years in the field of Computer Science and Engineering. He obtained his Ph.D. degree in Information Technology from USICT, GGSIPU, New Delhi, India. Dr. Sharma obtained his M. Tech degree in Computer Science & Engineering in 1999 from the Guru Jambheshwar University, Hisar, India and M.Sc. degree in Physics from the University of Roorkee (now IIT Roorkee), Roorkee, in 1997. His research interests include Machine Learning, Data Mining, and Security. He has published several research papers in various prestigious International Journals and International Conferences. He is a life member of CSI and IETE. Dr. Sharma is an Associate Editor of the International Journal of End-User Computing and Development (IJEUCD), IGI Global, USA. He is a convener of ICETIT-2019. Bharat Bhushan is an Assistant Professor of Computer Science and Engineering (CSE) at HMRITM, GGSIP university, New Delhi, India. Currently, he is also serving as a Managing Director, Gateville, Allahabad, U.P., India, and pursuing a PhD degree specializing in Wireless Sensor Nteworks at the Birla institute of technology, Mesra, India. He received his Undergraduate (BTech) degree in CSE with Distinction in 2012 and received his Masters (MTech) degree in Information Security with Distinction in 2015 from Birla Institute of Technology, Mesra, India. He earned numerous international certifications such as Cisco Certified Network Associate, Cisco certified network professional Trained, Cisco Certified Entry Networking Technician, Microsoft Certified Technology Specialist, Microsoft certified IT Professional, Red-hat Certified Engineer. He has Published more than 74 papers in different national and international conferences and journals including wireless personal communications (Springer) and wireless networks (springer). He was selected as a reviewer/Editorial Board Member for several reputed international journals. He also served as a speaker, Session Chair or Co-chair at various National and International Conferences. In the past, he worked as a Network Engineer for HCL Infosystems Ltd. He has qualified for four GATE exams (GATE 2013, 2014, 2015, and 2016) and gained several years of experience in imparting quality education to students. He is a member of IEEE. Narayan C. Debnath is currently the Founding Dean of the School of Computing and Information Technology at Eastern International University, Vietnam. He is also serving as the Head of the Department of Software Engineering at Eastern International University, Vietnam. Dr. Debnath has been the Director of the International Society for Computers and their Applications (ISCA) since 2014. Formerly, Dr. Debnath served as a Full Professor of Computer Science at Winona State University, Minnesota, USA for 28 years (1989-2017). He was elected as the Chairperson of the Computer Science Department at Winona State University for 3 consecutive terms and assumed the role of the Chairperson of the Computer Science Department at Winona State University for 7 years (2010-2017). Dr. Debnath earned a Doctor of Science (D.Sc.) degree in Computer Science and a Doctor of Philosophy (Ph.D.) degree in Physics. In the past, he served as the elected President for 2 separate terms, Vice President, and Conference Coordinator of the International Society for Computers and their Applications and has been a member of the ISCA Board of Directors since 2001. Before being elected as the Chairperson of the Department of Computer Science in 2010 at Winona State University, he served as the Acting Chairman of the Department. Dr. Debnath received numerous Honors and Awards while serving as a Professor of Computer Science during the period 1989 to 2017, including the Best Paper Award in the field of Networking at the 2008 IEEE International Symposium on Computers and Communications. During 1986-1989, Dr. Debnath served as an Assistant Professor of the Department of Mathematics and Computer Systems at the University of Wisconsin-River Falls, USA, where he was nominated for the National Science Foundation (NSF) Presidential Young Investigator Award in 1989. Professor Debnath has made significant contributions in teaching, research, and services across the academic and professional communities. He has made original research contributions in Software Engineering Models, Metrics and Tools, Software Testing, Software Management, and Information Science, Technology and Engineering. Dr. Debnath is an author or co-author of over 425 publications in numerous refereed journals and conference proceedings in Computer Science, Information Science, Information Technology, System Sciences, Mathematics, and Electrical Engineering.

      Innehållsförteckning

      • Chapter 1 The Convergence of IoT with Big Data and Cloud Computing Chapter 2 Cybersecurity Management within the Internet of Things Chapter 3 ROSET: Routing on SENSEnuts Testbeds in IoT Network Chapter 4 Machine Learning: Approach towards Security Chapter 5 Privacy Preservation with Machine Learning Chapter 6 Machine Learning-Based Internet-of-Things Security Schemes Chapter 7 Intrusion Detection of SCADA System Using Machine Learning Techniques: A Study Chapter 8 Person Authentication Based on Biometric Traits Using Machine Learning Techniques Chapter 9 Data Security and Privacy through Text Steganography Approaches Chapter 10 IoT as a Means of Strengthening Individual Farmers’ Position in Collaboration for Transformation to Sustainable Farming Chapter 11 Security in IoT HealthCare Chapter 12 Emerging Wireless Technologies Based on IoT in Healthcare Systems in Poland Chapter 13 Biometric Monitoring in Healthcare IoT Systems Using Deep Learning Chapter 14 Predictive Analysis of Type 2 Diabetes Using Hybrid ML Model and IoT Chapter 15 Securing Honey Supply Chain through Blockchain: An Implementation View
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