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
Autonomous Wheelchair with Negative Pressure Isolation Hood (21-COV1-071)
Autonomous Wheelchair with Negative Pressure Isolation Hood (21-COV1-071)
A Framework for event modeling and detection for Smart Buildings using Vision Systems
A Framework for event modeling and detection for Smart Buildings using Vision Systems
E-Literacy
E-Literacy
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
Admissions Apply Now