Krishna Kant

Work place: Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida, India



Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Data Structures and Algorithms, Engineering


Krishna Kant, Ph.D., is Professor and Dean (Academic), Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida, India. Earlier he served as Senior Director in the Department of Information Technology, Ministry of Communication and Information Technology, Government of India. He received his Masters in Physics (with specialization in Electronics) in the year 1972 from Jabalpur University, his Masters in Computer Science in the year 1975 from BITS Pilani, and his Ph.D. in Computer Science in the year 1980 from the Indian Institute of Technology Delhi. Dr. Krishna Kant has wide experience in designing and implementing microprocessor-based, real-time systems for different applications. He coordinated the UNDP project on Microprocessor Application Engineering Programme (MAEP) and was closely associated with the conceptualization and development of a number of agri-instrumentation systems at MAEP centre at JNKVV Jabalpur, India. He also imparted training to agriculture scientists on microprocessor applications. He taught "Microprocessor and Applications" and "Computer Control of Processes" courses to MCA and ME students, respectively, for three years in the University of Delhi, India. He has authored five books.

Author Articles
Self Adaptive Trust Model for Secure Geographic Routing in Wireless Sensor Networks

By P. Raghu Vamsi Krishna Kant

DOI:, Pub. Date: 8 Feb. 2015

The presence of malicious nodes in the ad hoc and sensor networks poses serious security attacks during routing which affects the network performance. To address such attacks, numerous researchers have proposed defense techniques using a human behavior pattern called trust. Among existing solutions, direct observations based trust models have gained significant attention in the research community. In this paper, the authors propose a Self Adaptive Trust Model (SATM) of secure geographic routing in wireless sensor networks (WSNs). Unlike conventional weight based trust models, SATM intelligently assigns the weights associated with the network activities. These weights are applied to compute the final trust value. SATM considers direct observations to restrict the reputation based attacks. Due to the flexible and intelligent weight computation, SATM dynamically detects the malicious nodes and direct the traffic towards trustworthy nodes. SATM has been incorporated into Greedy Perimeter Stateless Routing (GPSR) protocol. Simulation results using the network simulator NS-2 have shown that GPSR with SATM is robust against detecting malicious nodes.

[...] Read more.
An Improved Trusted Greedy Perimeter Stateless Routing for Wireless Sensor Networks

By P. Raghu Vamsi Krishna Kant

DOI:, Pub. Date: 8 Oct. 2014

In this paper, an improvement over Trusted Greedy Perimeter Stateless Routing (T-GPSR) is presented. T-GPSR employs heuristic weight values to evaluate total trust value of neighboring nodes. However, heuristic assignment of weights provide flexibility but it is not suitable in presence of several security attacks such as Grey hole, selfish behavior, on-off attack etc., are launched in the network in different proportions. To overcome this limitation, an improvement is suggested with an emphasis on trust update, lightweight trust computation and storage to reduce communication and storage overhead. The simulation study indicates that the packet delivery ratio of the improved T-GPSR has improved by 10% over T-GPSR in the presence of 50% of malicious nodes in the network.

[...] Read more.
Other Articles