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

Project Detection And Segmentation Of Repetitive Patterns In Images
Project Detection And Segmentation Of Repetitive Patterns In Images
Analysis of Seepage Induced Soil Mass Movements and Stabilization using sand Drains
Analysis of Seepage Induced Soil Mass Movements and Stabilization using sand Drains
WINSOC – Wireless Sensor Networks with Self-Organization Capabilities for Critical and Emergency Applications
WINSOC – Wireless Sensor Networks with Self-Organization Capabilities for Critical and Emergency Applications
Netravaad
Netravaad
ROS Based Autonomous Shopping Cart with e-Payment Facility
ROS Based Autonomous Shopping Cart with e-Payment Facility
Admissions Apply Now