This study presents a secret key sharing protocol that establishes cryptographically secured communication between two entities. A new symmetric key exchange scenario for smart city applications is presented in this research. The protocol is based on the specific properties of the Fuss‐Catalan numbers and the Lattice Path combinatorics. The proposed scenario consists of three phases: generating a Fuss‐Catalan object based on the grid dimension, defining the movement in the Lattice Path Grid and defining the key equalisation rules. In the experimental part, the authors present the security analysis of the protocol as well as its test. Also, they examine the equivalence of the proposed with Maurer's satellite scenario and suggest a new scenario that implements an information‐theoretical protocol for the public key distribution. Additionally, a comparison with related studies and methods is provided, as well as a comparison with satellite scenario, which proves the advantages of solution presented by the authors. Finally, they propose further research directions regarding key management in smart city applications.

Modern access controls employ biometrics as a means of authentication to a great extent. For example, biometrics is used as an authentication mechanism implemented on commercial devices such as smartphones and laptops. This paper presents a fingerprint biometric cryptosystem based on the fuzzy commitment scheme and convolutional neural networks. One of its main contributions is a novel approach to automatic discretization of fingerprint texture descriptors, entirely based on a convolutional neural network, and designed to generate fixed-length templates. By converting templates into the binary domain, we developed the biometric cryptosystem that can be used in key-release systems or as a template protection mechanism in fingerprint matching biometric systems. The problem of biometric data variability is marginalized by applying the secure block-level Bose–Chaudhuri–Hocquenghem error correction codes, resistant to statistical-based attacks. The evaluation shows significant performance gains when compared to other texture-based fingerprint matching and biometric cryptosystems.

This work presents a method based on information‐theoretic analysis of iris biometric that aims to extract homogeneous regions of high entropy. Successful extraction of these regions facilitates the development of effective systems for generation of cryptographic keys of lengths up to 400 bits per iris. At the same time, this approach allows for the application of simpler error correction codes with equal false accept rate levels, which reduces the overall complexity of this class of systems.

In this paper, we deal with comparative analysis of cryptocurrency wallets and traditional wallets. In addition to security analysis, we will observe the most important elements that should ensure a high level of social acceptability. In that regard, we will make a brief overview of the existing mechanisms for disposing a funds expressed in traditional currencies as well as for crypto currencies. Under the traditional safe keeping mechanisms and the disposal of cash, we will consider systems based on payment cards, payment by cash and payments over the internet. The use of digital wallets is reflected in various characteristics. The convenience of using the ability to execute a mobile phone transaction in matter of seconds. Efficiency is reflected in the speed of transaction execution. This paper describes the current state of digital wallets on the market, the choices of a better solution for purchasing and using digital wallets, security of digital wallets and future trends in their development.