Back close

Error Linear Complexity Measures for Multisequences

Start Date: Thursday, May 29,2008

School: School of Engineering

Project Incharge:Dr. M. Sethumadhavan
Funded by:Advanced Data Processing and Research Institute
Error Linear Complexity Measures for Multisequences

The stability theory of stream ciphers suggests that good key stream sequences must not only have a large linear complexity, but also change of a few terms must not cause a significant drop of the Linear complexity. This unfavorable property leads to the concept of k-error linear complexity. In this project we propose to extend this to the case of multisequences.

Related Projects

Fabrication of Silica Etch Mask using EBL and F Chemistry Dry Etching
Fabrication of Silica Etch Mask using EBL and F Chemistry Dry Etching
Automation of Transport and Building Feature Extraction using Deep Learning with Super-Resolution Enhancement of Satellite Imagery
Automation of Transport and Building Feature Extraction using Deep Learning with Super-Resolution Enhancement of Satellite Imagery
Project Detection And Segmentation Of Repetitive Patterns In Images
Project Detection And Segmentation Of Repetitive Patterns In Images
Detailed computational modelling and optimization of natural draught cook stoves.
Detailed computational modelling and optimization of natural draught cook stoves.
IoT Based Women Security System
IoT Based Women Security System
Admissions Apply Now