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

ANNAPOORNA: Food, Water & Medicine Delivery Teleoperated Robot
ANNAPOORNA: Food, Water & Medicine Delivery Teleoperated Robot
Experimental and Numerical Investigations on the Dynamics of Friction Oscillator Representative of Disc and Drum Brakes
Experimental and Numerical Investigations on the Dynamics of Friction Oscillator Representative of Disc and Drum Brakes
A Robust Approach for Improving the Accuracy of IMU based Indoor Mobile Robot Localization
A Robust Approach for Improving the Accuracy of IMU based Indoor Mobile Robot Localization
Object Detection From Cluttered Image
Object Detection From Cluttered Image
ClePa – A robot for cleaning staircase steps
ClePa – A robot for cleaning staircase steps
Admissions Apply Now