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

Influence of particle irradiation on photo-absorption and charge separation kinetics in Organic Solar Cells
Influence of particle irradiation on photo-absorption and charge separation kinetics in Organic Solar Cells
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
Detection and Prevention of Advanced Persistent Threat (APT) Activitiesin Heterogeneous Networks using SIEM and Deep Learning
Detection and Prevention of Advanced Persistent Threat (APT) Activitiesin Heterogeneous Networks using SIEM and Deep Learning
Project Detection And Segmentation Of Repetitive Patterns In Images
Project Detection And Segmentation Of Repetitive Patterns In Images
Video Analytics based Identification and Tracking in Smart Spaces
Video Analytics based Identification and Tracking in Smart Spaces
Admissions Apply Now