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

Testing of a Water Hydration-Dehydration Unit
Testing of a Water Hydration-Dehydration Unit
3D Map Generation for Visual Wayfinding
3D Map Generation for Visual Wayfinding
Kernel Based Approaches for Context Based Image Annotation
Kernel Based Approaches for Context Based Image Annotation
A study on the utilization of student welfare schemes offered by Government of Tamil Nadu in Coimbatore district.
A study on the utilization of student welfare schemes offered by Government of Tamil Nadu in Coimbatore district.
IoT Framework for Modeling, Monitoring and Damage Detection of Natural and Historical Heritage Structures
IoT Framework for Modeling, Monitoring and Damage Detection of Natural and Historical Heritage Structures
Admissions Apply Now