Deep learning for internet of things infrastructure - Ghosh, Uttam; Alazab, Mamoun; Bashir, Ali Kashif; Pathan, Al-Sakib Khan (CRC Press, Taylor & Francis Group, 2022)
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