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

Development of an On-board Integrated Switched Reluctance Motor (SRM) traction drive for Electric Vehicles (EVs)
Development of an On-board Integrated Switched Reluctance Motor (SRM) traction drive for Electric Vehicles (EVs)
3D Modelling of Nano Surfaces
3D Modelling of Nano Surfaces
E-Content for Skill Development and Education
E-Content for Skill Development and Education
Integrative Health and Wellbeing – Strengthening Tribal Health with Preventative Care and Awareness
Integrative Health and Wellbeing – Strengthening Tribal Health with Preventative Care and Awareness
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
Admissions Apply Now