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

Scalable Fault Models for Prognosis and Diagnosis of Generators in Aircraft Electrical Systems
Scalable Fault Models for Prognosis and Diagnosis of Generators in Aircraft Electrical Systems
A Case Study on Medical Camps During 2018 Kerala Floods
A Case Study on Medical Camps During 2018 Kerala Floods
ANNAPOORNA: Food, Water & Medicine Delivery Teleoperated Robot
ANNAPOORNA: Food, Water & Medicine Delivery Teleoperated Robot
A Service – Oriented Pervasive Framework for Smart Hospitals
A Service – Oriented Pervasive Framework for Smart Hospitals
Automated Traffic Sign Recognition System For Indian Roads
Automated Traffic Sign Recognition System For Indian Roads
Admissions Apply Now