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

Mu-share: Multi-user Realtime Shared Access platform for Remote Experimentation
Mu-share: Multi-user Realtime Shared Access platform for Remote Experimentation
Development of a Real-Time Wireless Sensor Network for Landslide Monitoring
Development of a Real-Time Wireless Sensor Network for Landslide Monitoring
A Service – Oriented Pervasive Framework for Smart Hospitals
A Service – Oriented Pervasive Framework for Smart Hospitals
ACIST : Amrita Content based Indexing and Searching Tool
ACIST : Amrita Content based Indexing and Searching Tool
Mudra-Hand Gesture Based Wheelchair Navigation
Mudra-Hand Gesture Based Wheelchair Navigation
Admissions Apply Now