Statistical Study On The Number Of Injective Linear Finite Transducers
Ivone Amorim, Ant\'onio Machiavelo, Rog\'erio Reis

TL;DR
This paper estimates the number of non-equivalent injective linear finite transducers using random sampling and recurrence relations, aiding cryptographic system analysis.
Contribution
It introduces a method to approximate the count of injective LFTs and estimates their percentage, advancing understanding of their key space.
Findings
Approximate count of non-equivalent injective LFTs
Recurrence relation for canonical LFTs
Estimated percentage of τ-injective LFTs
Abstract
The notion of linear finite transducer (LFT) plays a crucial role in some cryptographic systems. In this paper we present a way to get an approximate value, by random sampling, for the number of non-equivalent injective LFTs. By introducing a recurrence relation to count canonical LFTs, we show how to estimate the percentage of -injective LFTs. Several experimental results are presented, which by themselves constitute an important step towards the evaluation of the key space of those systems.
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.
Taxonomy
TopicsDigital Image Processing Techniques · Image and Object Detection Techniques · Numerical Methods and Algorithms
