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

Analysis of Seepage Induced Soil Mass Movements and Stabilization using sand Drains
Analysis of Seepage Induced Soil Mass Movements and Stabilization using sand Drains
A Robust Approach for Improving the Accuracy of IMU based Indoor Mobile Robot Localization
A Robust Approach for Improving the Accuracy of IMU based Indoor Mobile Robot Localization
Service Robot
Service Robot
Kernel Based Approaches for Context Based Image Annotation
Kernel Based Approaches for Context Based Image Annotation
KaraChara- Hand Orthosis for Rehabilitation of Stroke Patients
KaraChara- Hand Orthosis for Rehabilitation of Stroke Patients
Admissions Apply Now