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

Experimental and Numerical Investigations on the Dynamics of Friction Oscillator Representative of Disc and Drum Brakes
Experimental and Numerical Investigations on the Dynamics of Friction Oscillator Representative of Disc and Drum Brakes
Advanced Threat Collection Platforms
Advanced Threat Collection Platforms
Painting Bot
Painting Bot
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
Bio Water Filtration Unit for Improved Access to Clean Water – Communication for Sustainable Change
Bio Water Filtration Unit for Improved Access to Clean Water – Communication for Sustainable Change
Admissions Apply Now