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

Tech-based Health Monitoring & Awareness
Tech-based Health Monitoring & Awareness
Development of Amperometric Glucose Biosensors
Development of Amperometric Glucose Biosensors
A Framework for event modeling and detection for Smart Buildings using Vision Systems
A Framework for event modeling and detection for Smart Buildings using Vision Systems
Bio Water Filtration Unit for Improved Access to Clean Water – Communication for Sustainable Change
Bio Water Filtration Unit for Improved Access to Clean Water – Communication for Sustainable Change
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