A note on the multiple-recursive matrix method for generating pseudorandom vectors
Susil Kumar Bishoi, Himanshu Kumar Haran, and Sartaj Ul Hasan

TL;DR
This paper proposes an efficient algorithm for finding primitive multiple-recursive matrix methods to generate pseudorandom vectors and introduces a tweak to improve their linear complexity.
Contribution
It introduces a new algorithm for constructing primitive multiple-recursive matrix methods and enhances their linear complexity with a novel tweak.
Findings
Developed an efficient algorithm for primitive methods
Improved linear complexity of pseudorandom vector generation
Provides practical tools for cryptographic applications
Abstract
The multiple-recursive matrix method for generating pseudorandom vectors was introduced by Niederreiter (Linear Algebra Appl. 192 (1993), 301-328). We propose an algorithm for finding an efficient primitive multiple-recursive matrix method. Moreover, for improving the linear complexity, we introduce a tweak on the contents of the primitive multiple-recursive matrix method.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
