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

Search and Rescue Robot
Search and Rescue Robot
Amaran- A Robotic Coconut tree Climber
Amaran- A Robotic Coconut tree Climber
A modular cyber physical system for sustainable water management(selected)
A modular cyber physical system for sustainable water management(selected)
Detailed computational modelling and optimization of natural draught cook stoves.
Detailed computational modelling and optimization of natural draught cook stoves.
Design and development of a scalable laboratory model of a decentralized  Battery Pack Management System
Design and development of a scalable laboratory model of a decentralized  Battery Pack Management System
Admissions Apply Now