Md. Al-Amin Khandaker is a Research Engineer at the R&D department of EAGLYS Inc. He is currently working on the application of fully homomorphic encryption on privacy-preserving machine learning and secure computing for real-world problems.
In 2015 he was awarded Japan Govt. Scholarship (MEXT) to pursue Doctor’s course in the field of cryptography under the supervision of Professor Yasuyuki NOGAMI. His Ph.D. research was focused on optimization and efficient implementation techniques for the elliptic curve pairing-based cryptography, and its application for IoT security. He was a graduate student member of IEEE.
His current research interest is fully homomorphic encryption and secure multiparty computation and their application in machine learning and NLP.
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Ph.D. in Public Key Cryptography, 2019
Okayama University, Japan
M.Sc.(Dropped) in Computer Science and Engineering, 2015
Jahangirnagar University, Bangladesh
B.Sc. in Computer Science and Engineering, 2012
Jahangirnagar University, Bangladesh
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Scalar multiplication over higher degree rational point groups is often regarded as the bottleneck for faster pairing based cryptography. This paper has presented a skew Frobenius mapping technique in the sub-field isomorphic sextic twisted curve of Kachisa-Schaefer-Scott (KSS) pairing friendly curve of embedding degree 18 in the context of Ate based pairing. Utilizing the skew Frobenius map along with multi-scalar multiplication procedure, an efficient scalar multiplication method for KSS curve is proposed in the paper. In addition to the theoretic proposal, this paper has also presented a comparative simulation of the proposed approach with plain binary method, sliding window method and non-adjacent form (NAF) for scalar multiplication. The simulation shows that the proposed method is about 60 times faster than plain implementation of other compared methods.