Deep Learning for Internet of Things Infrastructure

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)–based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things Infrastructure addresses emerging trends and issues on IoT systems and services across various application domains. The book investigates the challenges posed by the implementation of deep learning on IoT networking models and services. It provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT. The book also explores new functions and technologies to provide adaptive services and intelligent applications for different end users. FEATURES Promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of DL-based data analytics of IoT infrastructures Addresses emerging trends and issues on IoT systems and services across various application domains Investigates the challenges posed by the implementation of deep learning on IoT networking models and services Provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT Explores new functions and technologies to provide adaptive services and intelligent applications for different end users Uttam Ghosh is an Assistant Professor in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA. Mamoun Alazab is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia. Ali Kashif Bashir is a Senior Lecturer/Associate Professor and Program Leader of BSc (H) Computer Forensics and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, United Kingdom. Al-Sakib Khan Pathan is an Adjunct Professor of Computer Science and Engineering at the Independent University, Bangladesh.

1. Data Caching at Fog Nodes under IoT Networks: Review of Machine Learning Approaches Riya, Nitin Gupta, and Qin Xin 2. ECC-Based Privacy-Preserving Mechanisms Using Deep Learning for Industrial IoT: A State-of-the-Art Approaches R. Sivaranjani, P. Muralidhara Rao, and P. Saraswathi 3. Contemporary Developments and Technologies in Deep Learning–Based IoT Prishita Ray, Rajesh Kaluri, Thippa Reddy G., Praveen Kumar Reddy M., and Kuruva Lakshmanna 4. Deep Learning–Assisted Vehicle Counting for Intersection and Traffic Management in Smart Cities Guy M. Lingani, Danda B. Rawat, and Moses Garuba 5. Toward Rapid Development and Deployment of Machine Learning Pipelines across Cloud-Edge Anirban Bhattacharjee, Yogesh Barve, Shweta Khare, Shunxing Bao, Zhuangwei Kang, Aniruddha Gokhale, and Thomas Damiano 6. Category Identification Technique by a Semantic Feature Generation Algorithm Somenath Chakraborty 7. Role of Deep Learning Algorithms in Securing Internet of Things Applications Rajakumar Arul, Shakila Basheer, Asad Abbas, and Ali Kashif Bashir 8. Deep Learning and IoT in Ophthalmology Md Enamul Haque and Suzann Pershing 9. Deep Learning in IoT-Based Healthcare Applications S.M. Zobaed, Mehedi Hassan, Muhammad Usama Islam, and Md Enamul Haque 10. Authentication and Access Control for IoT Devices and Its Applications Ananda Kumar S., Arthi B., Aruna M., Aaisha Makkar, and Uttam Ghosh 11. Deep Neural Network–Based Security Model for IoT Device Network Dukka Karun Kumar Reddy, Janmenjoy Nayak, Bighnaraj Naik, and G. M. Sai Pratyusha

Uttam Ghosh is working as an Assistant Professor of the Practice in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA. Dr. Ghosh obtained his PhD in Electronics and Electrical Engineering from the Indian Institute of Technology Kharagpur, India in 2013, and has Post-doctoral experience at the University of Illinois in Urbana-Champaign, Fordham University, and Tennessee State University. He has been awarded the 2018-2019 Junior Faculty Teaching Fellow (JFTF) and has been promoted to a Graduate Faculty position at Vanderbilt University. Dr. Ghosh has published fifty papers at reputed international journals including IEEE Transaction, Elsevier, Springer, IET, Wiley, InderScience and IETE, and also in top international conferences sponsored by IEEE, ACM, and Springer. Dr. Ghosh has conducted several sessions and workshops related to Cyber-Physical Systems (CPS), SDN, IoT and smart cities as co-chair at top international conferences including IEEE Globecom, IEEE MASS, SECON, CPSCOM, IEMCON, ICDCS and so on. He has served as a Technical Program Committee (TPC) member at renowned international conferences including ACM SIGCSE, IEEE LCN, IEMCON, STPSA, SCS SpringSim, IEEE Compsac. He is serving as an Associate Editor of the International Journal of Computers and Applications, Taylor & Francis, and also a reviewer for international journals including IEEE Transactions, Elsevier, Springer and Wiley. Dr. Ghosh is contributing as guest editor for special issues with IEEE Transaction on Industrial Informatics (TII), IEEE Journal of IoT, IEEE Transaction on Network Science and Engineering (TNSE), ACM Transactions on Internet ten edited volumes on Emerging CPS, Security, Machine / Machine Learning with CRC Press, Chapman Hall Big Data Series and Springer. His main research interests include Cybersecurity, Computer Networks, Wireless Networks, Information Centric Networking and Software-Defined Networking. Ali Kashif Bashiris a Senior Lecturer/Associate Professor and Program Leader of BSc (H) Computer Forensics and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, United Kingdom. He also enjoys honorary positions: Honorary Professor and Chief Advisor of Visual Intelligence Research Center, School of Information and Communication Engineering, University of Electronics Science and Technology of China (UESTC), China; and Adjunct Professor of School of Electrical Engineering and Computer Science, National University of Science and Technology (NUST), Islamabad, Pakistan. His past assignments include Associate Professor of ICT, University of the Faroe Islands, Denmark; Osaka University, Japan; Nara National College of Technology, Japan; the National Fusion Research Institute, South Korea; Southern Power Company Ltd., South Korea, and the Seoul Metropolitan Government, South Korea. He received his Ph.D. in computer science and engineering from Korea University South Korea. He is a senior member of IEEE, member of IEEE Industrial Electronic Society, member of ACM, and Distinguished Speaker of ACM. He has authored over 150 research articles; received funding as PI and Co-PI from research bodies of South Korea, Japan, EU, UK and Middle East; supervising/co-supervising several graduate (MS and PhD) students. His research interests include internet of things, wireless networks, distributed systems, network/cyber security, network function virtualization, machine learning, etc. He is serving as the Editor-in-chief of the IEEE FUTURE DIRECTIONS NEWSLETTER. He is also serving as area editor of KSII Transactions on Internet and Information Systems; associate editor of IEEE Internet of Things Magazine, IEEE Access, IET Quantum Computing, Journal of Plant Disease and Protection. He has also organized 24 Guest Editorials in the top Journals of IEEE, Elsevier, Springer and Elsevier. He has delivered 20 + invited/keynote talks. He is leading many conferences as a chair (program, publicity, and track) and had organized workshops in flagship conferences like IEEE Infocom, IEEE Globecom, IEEE Mobicom, etc. Mamoun Alazabreceived his PhD degree in Computer Science from the Federation University of Australia, School of Science, Information Technology and Engineering. He is currently an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia. He is a cyber-security researcher and practitioner with industry and academic experience. Dr. Alazab's research is multidisciplinary, with a focus on cyber security and digital forensics of computer systems, including current and emerging issues in the cyber environment, such as cyber-physical systems and the Internet of Things. His research takes into consideration the unique challenges present in these environments, with an emphasis on cybercrime detection and prevention. He has a particular interest in the application of machine learning as an essential to