PROJECT TITLE :

Subquadratic space complexity Gaussian normal basis multipliers over GF(2m) based on Dickson–Karatsuba decomposition

ABSTRACT:

Gaussian normal basis (GNB) of the even-type is popularly employed in elliptic curve cryptosystems. Efficient GNB multipliers might be realised by Toeplitz matrix-vector decomposition to understand subquadratic area complexity architectures. In this study, Dickson polynomial representation is proposed as another approach to represent an GNB of characteristic 2. The authors have derived a unique recursive Dickson-Karatsuba decomposition to attain a subquadratic space-complexity parallel GNB multiplier. By theoretical analysis, it's shown that the proposed subquadratic multiplier saves regarding fiftypercent bit-multiplications compared with the corresponding subquadratic GNB multiplication using Toeplitz matrix-vector product approach.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Video Dissemination over Hybrid Cellular and Ad Hoc Networks - 2014 ABSTRACT: We study the problem of disseminating videos to mobile users by using a hybrid cellular and ad hoc network. In particular, we formulate
PROJECT TITLE : Network Resource Allocation for Users With Multiple Connections Fairness and Stability - 2014 ABSTRACT: This paper studies network resource allocation between users that manage multiple connections, possibly
PROJECT TITLE : Multi-Core Embedded Wireless Sensor Networks Architecture and Applications - 2014 ABSTRACT: Technological advancements in the silicon industry, as predicted by Moore's law, have enabled integration of billions
PROJECT TITLE : Joint Topology-Transparent Scheduling and QoS Routing in Ad Hoc Networks - 2014 ABSTRACT: This paper considers the problem of joint topologytransparent scheduling (TTS) and quality-of-service (QoS) routing in
PROJECT TITLE : Joint Routing and Resource Allocation for Delay Minimization in Cognitive Radio Based Mesh Networks - 2014 ABSTRACT: This paper studies the joint design of routing and resource allocation algorithms in cognitive