Saša Adamović

TL;DR: A comparative analysis of the proposed encryption method with the Catalan numbers and data encryption standard (DES) algorithm, which is performed with machine learning-based identification of the encryption method using ciphertext only, showed that it was much more difficult to recognize ciphertext generated with theCatalan method than one made with the DES algorithm.

TL;DR: This study presents a secret key sharing protocol that establishes cryptographically secured communication between two entities that is based on the specific properties of the Fuss-Catalan numbers and the Lattice Path combinatorics.

TL;DR: A novel iris recognition system based on machine learning methods to reach virtually perfect classification accuracy, eliminate false acceptance rates, and cancel the possibility of recreating an iris image from a generated template.

TL;DR: State of the art steganographic analysis of the proposed solution of data hiding using Catalan numbers and Dyck words is presented, as well as possible suggestions for application in business information systems, authentication and distribution of secret cryptographic keys.

TL;DR: This work presents a method based on information-theoretic analysis of iris biometric that aims to extract homogeneous regions of high entropy that facilitates the development of effective systems for generation of cryptographic keys of lengths up to 400 bits per iris.