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

Implementation of Intensive Natural Language Processing & Soft Computing Technology Based Extrinsic Plagiarism Detection Tool
Implementation of Intensive Natural Language Processing & Soft Computing Technology Based Extrinsic Plagiarism Detection Tool
Threat Modeling, Trust Modeling, and Development of Secure Platform in Cloud Environments
Threat Modeling, Trust Modeling, and Development of Secure Platform in Cloud Environments
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.
Dosa Making Robot
Dosa Making Robot
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