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

Intelligent, Animal Attack Prevention System for Crop Protection
Intelligent, Animal Attack Prevention System for Crop Protection
Driving Assistance System Based Ongaze Tracking and Road Scene Events Detection
Driving Assistance System Based Ongaze Tracking and Road Scene Events Detection
Digital & Health Literacy – Promoting Health & Wellbeing
Digital & Health Literacy – Promoting Health & Wellbeing
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
Negative Pressure Isolation Hooded Wheel Chair
Negative Pressure Isolation Hooded Wheel Chair
Admissions Apply Now