Dr. Arun B Prasad
@nirmauni.ac.in
Associate Professor (Economics)
Institute of Law, Nirma University
EDUCATION
Ph.D., Economics
RESEARCH INTERESTS
Health Economics
Development Economics
Scopus Publications
Scopus Publications
Prajakta U. Waghe, A Suresh Kumar, Arun B Prasad, Vuda Sreenivasa Rao, E. Thenmozhi, Sanjiv Rao Godla, and Yousef A.Baker El-Ebiary
The Science and Information Organization
A. Stephen, Arun B. Prasad, P. K. Dhal, Mohd. Shaikhul Ashraf, Thupakula Bhaskar, and K. B. Glory
Springer Science and Business Media LLC
Ayan Das Gupta, K. Kishore, Arun B Prasad, B Kannadasan, M Srinivasa Narayana, and Prabhdeep Singh
IEEE
The Software Defined Network (SDN) structure is a novel approach to network management. Switches in SDN do not process incoming packets in the same way that they do in a traditional network computing environment. They look in the linking tables for incoming packets, and if none are found, they are sent to the control system for processing, which is the SDN's operating system. The most serious threat to cyber security in an SDN network is a Spread Denial of Service (Dodos) attack. The attack will take place at the network or application layers of the infected devices that are linked to the network. In this paper, an intelligent machine learning-based method for detecting whether incoming packets are infected or not is proposed Smart city activities seek to go beyond the limitations of traditional urban planning, which regulates critical infrastructures in silos, and to profit on the pervasiveness of data and services given by electronic technologies such as machine learning, the internet of things, affordable and big data.
Vivek Veeraiah, Arun B Prasad, S Sapna, Devvret Verma, S. PRANAVAN, and Ali Ibrahim Dasuki
IEEE
Associating and sharing information by means of the web between actual things, or “things,” coordinated with sensors, programming, and different advances are known as the Internet of Things (IoT). In order to improve technology through IoT, there have been a number of important studies and investigations. This study exhibits how the Internet of Things might be utilized to screen wellbeing. In this research work, with the help of IoT based human wellbeing checking framework the information circulatory strain, beat rate, internal heat level, pulse, and other crucial signs are providing to the internet. The use of IoT for the human health monitoring system in later on future, need a very accurate assessment of risk and this is required to provide a long term information to the device.
Worakamol Wisetsri, S. Franklin John, Arun B. Prasad, Shaifali Garg, Md. Khaja Mohiddin, and Bandi Bhaskar
Elsevier BV