Keshab Nath

Orcid: 0000-0002-8825-5117

According to our database1, Keshab Nath authored at least 15 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Efficient handover authentication protocol with message integrity for mobile clients in wireless mesh networks.
J. Inf. Secur. Appl., 2024

HPix: Generating Vector Maps from Satellite Images.
CoRR, 2024

LB-SAM: Local Beam Search With Simulated Annealing for Community Detection in Large-Scale Social Networks.
IEEE Access, 2024

2023
Plant and Salamander Inspired Network Attack Detection and Data Recovery Model.
Sensors, 2023

Generative Adversarial Network for Augmenting Low-Dose CT Images.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2023

2022
Privacy Preserving Multi-Party Key Exchange Protocol for Wireless Mesh Networks.
Sensors, 2022

Using Genetic Algorithm in Inner Product to Resist Modular Exponentiation From Higher Order DPA Attacks.
IEEE Access, 2022

2021
ma-CODE: A multi-phase approach on community detection in evolving networks.
Inf. Sci., 2021

2020
Uncovering hidden community structures in evolving networks based on neighborhood similarity.
J. Intell. Fuzzy Syst., 2020

InOvIn: A fuzzy-rough approach for detecting overlapping communities with intrinsic structures in evolving networks.
Appl. Soft Comput., 2020

2019
Pre-Processing: A Data Preparation Step.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 1, 2019

Detecting intrinsic communities in evolving networks.
Soc. Netw. Anal. Min., 2019

2018
A Parallel Approach to Detect Communities in Evolving Networks.
Proceedings of the Big Data Analytics - 6th International Conference, 2018

2016
Incremental Approach for Detecting Arbitrary and Embedded Cluster Structures.
Proceedings of the Model and Data Engineering - 6th International Conference, 2016

Evaluating the Effectiveness of Soft K-Means in Detecting Overlapping Clusters.
ICTCS, 2016


  Loading...