Avimanyou Vatsa

Work place: Gildart Haase School of Computer Sciences and Engineering, Fairleigh Dickinson University New Jersey USA

E-mail: avatsa@fdu.edu


Research Interests: Network Architecture, Network Security


Dr. Avimanyou Vatsa is working as an assistant professor in the department of computer science, Fairleigh Dickinson University – Metropolitan campus. He also worked as an assistant professor at West Texas A&M University, teaching & research assistant at the University of Missouri, Columbia, and an assistant professor for more than ten years in several engineering colleges and a university in India. He obtained PhD, From University of Missouri, Columbia. He obtained his M-Tech (Computer Engineering) with Hons. from Shobhit University and B-Tech (I.T.) from V.B.S. Purvanchal University, Jaunpur (U.P.). He has worked as software engineer in software industry. He has been in teaching from more than one decade. During this short period of time, he has supervised more than 25 students M.Tech dissertation. He is on the editorial board of few international journals in network and security area. He has been member of several academic and administrative bodies. During his teaching he has coordinated several Technical fests and National Conferences at Institute and University Level. He has attended several seminars, workshops and conferences at various levels. His many papers are published in various national and international journals and conferences. His area of research includes MANET (Mobile Ad-Hoc network), Network Security, Congestion Control and VOIP-SIP (Voice over IP).

Author Articles
An Optimized Authentication Mechanism for Mobile Agents by Using Machine Learning

By Pradeep Kumar Niraj Singhal Mohammad Asim Avimanyou Vatsa

DOI: https://doi.org/10.5815/ijcnis.2023.06.03, Pub. Date: 8 Dec. 2023

A mobile agent is a small piece of software which works on direction of its source platform on a regular basis. Because mobile agents roam around wide area networks autonomously, the protection of the agents and platforms is a serious worry. The number of mobile agents-based software applications has increased dramatically over the past year. It has also enhanced the security risks associated with such applications. Most of the security mechanisms in the mobile agent architecture focus solely on platform security, leaving mobile agent safety to be a significant challenge. An efficient authentication scheme is proposed in this article to address the situation of protection and authentication of mobile agent at the hour of migration of across multiple platforms in malicious environment. An authentication mechanism for the mobile agent based on the Hopfield neural network proposed. The mobile agent’s identity and password are authenticate using the specified mechanism at the moment of execution of assigned operation. An evaluative assessment has been offered, along with their complex character, in comparison to numerous agent authentication approaches. The proposed method has been put into practice, and its different aspects have been put to the test. In contrasted to typical client-server and code-on-demand approaches, the analysis shows that computation here is often more safe and simpler.

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Secure Mobile Agent Migration Using Lagrange Interpolation and Fast Fourier Transformation

By Pradeep Kumar Niraj Singhal Dhiraj Pandey Avimanyou Vatsa

DOI: https://doi.org/10.5815/ijcnis.2023.04.07, Pub. Date: 8 Aug. 2023

Mobile agent is a processing unit works on the behalf of host computer. Mobile agent with intelligence provides a new computing prototype that is totally different from conventional prototype. Mobile agents are automatically itinerating from one host Computer to another host computer and execute assigned task on the behalf of user in heterogeneous environment under own control. Because mobile agents roam around distributed networks automatically, the security of the agents and platforms is a major concern. The number of mobile agents-based software applications has increased dramatically over the past year. It has also enhanced the security risks associated with such applications. Most protection systems in the mobile agent paradigm focus on platform security and provide few guidelines for mobile agent security, which is still a challenging topic. There is a risk to information carries by mobile agents from the malicious mobile agents who can modify and steal the confidential information. In this paper proposed multilevel authentication framework of mobile agents and platform based on Lagrange interpolation and fast Fourier transformation (LIFFT). In this frame work ‘n’ number of mobile agent have two level of security first level key used authentication and second level of key used for execution of mobile agents.

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Other Articles