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

Nutrition – Awareness Program on Micronutrient Deficiencies
Nutrition – Awareness Program on Micronutrient Deficiencies
Influence of particle irradiation on photo-absorption and charge separation kinetics in Organic Solar Cells
Influence of particle irradiation on photo-absorption and charge separation kinetics in Organic Solar Cells
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
Service Robot
Service Robot
ClePa – A robot for cleaning staircase steps
ClePa – A robot for cleaning staircase steps
Admissions Apply Now