Krishnamurthy G N

Work place: Department of CSE, BNM Institute of Technology, Bangalore, India

E-mail: krishnamurthy_gn@hotmail.com

Website:

Research Interests: Artificial Intelligence, Computer Networks, Distributed Computing, Data Structures and Algorithms, Big data and learning analytics

Biography

Dr. Krishnamurthy G. N, Research Supervisor, VTU, Belagavi, Principal, BNM Institute of Technology, Bangalore, Karnataka, India. His main research interests include distributed computing, wireless networks, data analytics, machine learning and artificial intelligence. He has published his papers in various journals/conferences at international level where the proceedings are published in various indexing services like IEEE Xplore, DBLP, etc. Some of his research works are published in various international journals such as International Journal of Computer Science and Network Security and International Journal of Network Security and Applications.

His areas of interest include cryptography, distributed computing, wireless networks, data analytics, machine learning and artificial intelligence.

He is a member of the Indian Society for Technical Education (ISTE) and International Association of Engineers.

Author Articles
Distributed Wormhole Attack Mitigation Technique in WSNs

By Sharada Kori Krishnamurthy G N Nandini Sidnal

DOI: https://doi.org/10.5815/ijcnis.2019.05.03, Pub. Date: 8 May 2019

Sensing element Networks area unit gaining a lot of attention as a result of applications like sensible cities(traffic congestion, sensible parking, sensible lighting), sensible setting (forest hearth detection, air pollution) security and emergencies (Radiation levels, Explosive and dangerous Gases, Military applications) to call a couple of. The important facet of those observation and chase applications area unit security and sensing element location. The Wireless sensing element Networks may be thought to be associate degree freelance theme for accomplishing data-intensive chores like atmosphere (habitat) perceptive, data congregation, earthquake perceptive, parcel intelligence operation, etc. and any communication to the appliance. Wormhole attack could be a severe threat to the safety of the network. Because it could be a passive attack, it's terribly difficult to notice Wormhole attack. The most stress of this analysis work is to mitigate the wormhole attack. During this paper, we have a tendency to address the wormhole attack by proposing a trust-based wormhole attack mitigation technique. Our projected system is easy with no further hardware demand and no tight clock synchronization.

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