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

Analysis of Seepage Induced Soil Mass Movements and Stabilization using sand Drains
Analysis of Seepage Induced Soil Mass Movements and Stabilization using sand Drains
Machine Learning based Hand Orthotic Device
Machine Learning based Hand Orthotic Device
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
Development of a Real-Time Wireless Sensor Network for Landslide Monitoring
Development of a Real-Time Wireless Sensor Network for Landslide Monitoring
Admissions Apply Now