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

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
WINSOC – Wireless Sensor Networks with Self-Organization Capabilities for Critical and Emergency Applications
WINSOC – Wireless Sensor Networks with Self-Organization Capabilities for Critical and Emergency Applications
Self-E
Self-E
Design and Optimization of Joint Torque Sensor for Robotic Applications
Design and Optimization of Joint Torque Sensor for Robotic Applications
A modular cyber physical system for sustainable water management(selected)
A modular cyber physical system for sustainable water management(selected)
Admissions Apply Now