Machine Learning Approaches for Convergence of IoT and Blockchain

5Application of Machine Learning and IoT for Smart Cities

Nilanjana Pradhan^1*, Ajay Shankar Singh², Shrddha Sagar¹, Akansha Singh³ and Ahmed A. Elngar⁴

¹Analytics, Pune Institute of Business Management (Pune, Maharashthra), PHD Scholar, Galgotias University, Greater Noida, Uttar Pradesh, India

²School of Computer Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India

³Department of Computer Science and Engineering, ASET, Amity University Uttar Pradesh, Noida, India

⁴Faculty of Computers & Artificial Intelligence, Beni-Suef University, Beni-Suef, Egypt

Abstract

Internet of Things (IoT) is an evolving technology in which numbers of devices are connected to the Internet and to number of associated device. The IoT is large domain in which number of smart devices is connected and individually is connected together and provides information in a specific way, which they can be utilized. IoT consist of phenomenal number of objects of every kind that is from smart microwaves—which naturally cooks food in the specified time, to self-driving vehicles—whose complex sensors identifies the objects in the path. Machine learning (ML) is an innovation today and is the procedure of elimination of human intervention at every possible opportunity. It is enabling the information to learn design independent from anyone else and take autonomous choices without a coder composing another arrangement of codes. Each time the IoT sensors assemble information, there must be ...