Jojo Moses Eghan

Orcid: 0000-0001-7389-6758

According to our database1, Jojo Moses Eghan authored at least 10 papers between 2014 and 2019.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Applying Cluster Refinement to Improve Crowd-Based Data Duplicate Detection Approach.
IEEE Access, 2019

2018
Cost-Based and Effective Human-Machine Based Data Deduplication Model in Entity Reconciliation.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

A Hybrid Data Deduplication Approach in Entity Resolution Using Chromatic Correlation Clustering.
Proceedings of the Frontiers in Cyber Security - First International Conference, 2018

2015
A Novel Hybrid Discrete Cosine Transformation and Visual Cryptographic Technique for Securing Digital Images.
Proceedings of the UKSim-AMSS 17th International Conference on Computer Modelling and Simulation, 2015

A Hybrid Image Cryptographic and Spatial Digital Watermarking Encryption Technique for Security and Authentication of Digital Images.
Proceedings of the UKSim-AMSS 17th International Conference on Computer Modelling and Simulation, 2015

A Hybrid Cryptographic and Steganographic Security Approach for Identity Management and Security of Digital Images.
Proceedings of the Security in Computing and Communications, 2015

A Fast Discrete Cosine Transform and a Cryptographic Technique for Authentication and Security of Digital Images.
Proceedings of the Security in Computing and Communications, 2015

Feature Based Encryption Technique for Securing Digital Image Data Based on FCA-Image Attributes and Visual Cryptography.
Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015

A Security Technique for Authentication and Security of Medical Images in Health Information Systems.
Proceedings of the 15th International Conference on Computational Science and Its Applications, 2015

2014
A Hybrid Encryption Technique for Securing Biometric Image Data Based on Feistel Network and RGB Pixel Displacement.
Proceedings of the Recent Trends in Computer Networks and Distributed Systems Security, 2014


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