Vani Rajasekar

According to our database, Vani Rajasekar authored at least 12 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Efficient Multimodal Biometric Recognition for Secure Authentication Based on Deep Learning Approach.

Vani Rajasekar, Muzafer Saracevic, Mahmoud Hassaballah, Darjan Karabasevic, Dragisa Stanujkic, Mahir Zajmovic, Usman Tariq, Premalatha Jayapaul

Int. J. Artif. Intell. Tools, May, 2023

2022

A futuristic approach to generate random bit sequence using dynamic perturbed chaotic system.

Sathya Krishnamoorthi, Premalatha Jayapaul, Vani Rajasekar, Rajesh Kumar Dhanaraj, Celestine Iwendi

Turkish J. Electr. Eng. Comput. Sci., January, 2022

Enhanced WSN Routing Protocol for Internet of Things to Process Multimedia Big Data.

Vani Rajasekar, J. Premalatha, Sathya Krishnamoorthi, Muzafer Saracevic, Mohamed Elhoseny, Marwan Al-Akaidi

Wirel. Pers. Commun., 2022

A cryptographic paradigm to detect and mitigate blackhole attack in VANET environments.

Rajesh Kumar Dhanaraj, SK Hafizul Islam, Vani Rajasekar

Wirel. Networks, 2022

An Efficient Lightweight Privacy-Preserving Mechanism for Industry 4.0 Based on Elliptic Curve Cryptography.

S. Velliangiri, Rajesh Manoharan, Sitharthan Ramachandran, Krishnasamy Venkatesan, Vani Rajasekar, P. Karthikeyan, Pardeep Kumar, Abhishek Kumar, Shanmuga Sundar Dhanabalan

IEEE Trans. Ind. Informatics, 2022

Blockchain Based Privacy Preserving Framework for Emerging 6G Wireless Communications.

S. Velliangiri, Rajesh Manoharan, Sitharthan Ramachandran, Vani Rajasekar

IEEE Trans. Ind. Informatics, 2022

Detection of Cotton Plant Diseases Using Deep Transfer Learning.

Vani Rajasekar, K. Venu, Soumya Ranjan Jena, R. Janani Varthini, S. Ishwarya

J. Mobile Multimedia, 2022

Efficient Cancelable Template Generation Based on Signcryption and Bio Hash Function.

Vani Rajasekar, Muzafer Saracevic, Darjan Karabasevic, Dragisa Stanujkic, Eldin Dobardzic, Sathya Krishnamoorthi

Axioms, 2022

Ensemble Machine Learning Methods to Predict the Balancing of Ayurvedic Constituents in the Human Body Ensemble Machine Learning Methods to Predict.

Vani Rajasekar, Sathya Krishnamoorthi, Muzafer Saracevic, Dzenis Pepic, Mahir Zajmovic, Haris Zogic

Comput. Sci., 2022

2021

Cancelable Iris template for secure authentication based on random projection and double random phase encoding.

Vani Rajasekar, J. Premalatha, K. Sathya

Peer-to-Peer Netw. Appl., 2021

2020

Enhanced Biometric Recognition for Secure Authentication Using Iris Preprocessing and Hyperelliptic Curve Cryptography.

Vani Rajasekar, J. Premalatha, K. Sathya

Wirel. Commun. Mob. Comput., 2020

2016

An efficient lightweight cryptographic scheme of signcryption based on hyperelliptic curve.

Vani Rajasekar, S. Varadhaganapathy, K. Sathya, J. Premalatha

Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016