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
Energy Management on Smart Grid using Embedded Systems
Energy Management on Smart Grid using Embedded Systems
Lane Changing and Overtaking Decision	 Autonomous Vehicles
Lane Changing and Overtaking Decision Autonomous Vehicles
E-Content for Skill Development and Education
E-Content for Skill Development and Education
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Admissions Apply Now