Dr. Amic Seeven - Universite des Mascareignes

Conducting active research in the general umbrella field of cybersecurity, Amic specializes in the security provided by cryptographic primitives, algorithms and schemes. He has a keen interest in cryptanalysis and design of cryptographic algorithms and their applications, namely, IoT, blockchain, data and communications security. Amic experiments with new techniques of cryptanalysis including machine learning and deep learning.

Research

Biography

Conducting active research in the general umbrella field of cybersecurity, Amic specializes in the security provided by cryptographic primitives, algorithms and schemes. He has a keen interest in cryptanalysis and design of cryptographic algorithms and their applications, namely, IoT, blockchain, data and communications security. Amic experiments with new techniques of cryptanalysis including machine learning and deep learning.

Dr. Amic Seeven

Research/field of study:
Cryptography. Cryptanalysis, Metaheuristics, Optimization, Cybersecurity

Email:
samic@udm.ac.mu

Publications


AMIC, S., SOYJAUDAH, K.M.S., MOHABEER, H., and RAMSAWOCK, G., 2016. Cryptanalysis of DES-16 using Binary Firefly Algorithm. In: 2016 IEEE International Conference on Emerging Technologies and Innovative Business Practices for the Transformation of Societies, EmergiTech 2016.

AMIC, S., SUNJIV SOYJAUDAH, K.M., and RAMSAWOCK, G., 2017. Binary Cat Swarm Optimization for Cryptanalysis. 2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). pp. 1–6.

AMIC, S., SOYJAUDAH, K.M.S., and RAMSAWOCK, G., 2019. Dolphin swarm algorithm for cryptanalysis. Advances in Intelligent Systems and Computing. Springer Verlag. 863 (c), pp. 149–163.

Any further inquiries?

Please contact on the following email: ecoledoctorale@udm.ac.mu