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

Advanced Threat Collection Platforms
Advanced Threat Collection Platforms
Nutrition – Awareness Program on Micronutrient Deficiencies
Nutrition – Awareness Program on Micronutrient Deficiencies
IoT Framework for Modeling, Monitoring and Damage Detection of Natural and Historical Heritage Structures
IoT Framework for Modeling, Monitoring and Damage Detection of Natural and Historical Heritage Structures
Lane Changing and Overtaking Decision	 Autonomous Vehicles
Lane Changing and Overtaking Decision Autonomous Vehicles
ANNAPOORNA: Food, Water & Medicine Delivery Teleoperated Robot
ANNAPOORNA: Food, Water & Medicine Delivery Teleoperated Robot
Admissions Apply Now