International Workshop
Advances & Challenges in Computing (A2C)
A Regular meeting
Date: 26 May 2025 (Wednesday)
Time of event: 18:00-20:00 (East European time, Kyiv)
Place: online
Email: a2c.wokshop@gmail.com
AGENDA:
- Speaker: Viacheslav Moskalenko
(Associate Professor., Ph.D.)
Associate Professor of Computer Science Department,
Sumy State University;
CTO at Molfar.AI sp. z o.o.
E-mail: v.moskalenko@cs.sumdu.edu.ua
Topic: Methodological Foundations and Information Technologies for Creating Resilient Intelligent Data Analysis Systems
Presentation in Ukrainian
Abstract: The vulnerabilities of Intelligent Data Analysis Systems (IDAS) and the approaches to ensuring various aspects of their resilience are analyzed and systematized. The methodological foundations and information technologies for evaluating and enhancing the resilience of IDAS under diverse disturbances and resource‐constrained conditions are proposed. A novel concept is introduced, accompanied by models and methods for assessing and ensuring the resilience of IDAS against different types of disturbances under limited resources. A distinct feature of the proposed approach is the development of models that incorporate parallel module correction and dynamic structural adaptation, thereby ensuring enhanced system resilience. Furthermore, the integration of advanced meta-learning techniques with a structured framework for machine learning operations enhances resilience by improving both robustness and adaptation speed, while employing a model-agnostic approach that makes the method universally applicable. Experimental validation using an image recognition task confirms the effectiveness of the proposed models and methods.
Resume: Viacheslav Moskalenko graduated with honours from Sumy State University in 2011 with a degree in Control Systems and Automation. He later completed his second degree in Computer Science at Sumy State University in 2021, graduating with honours. On 16 May 2014, he defended his Candidate of Technical Sciences dissertation on the automation of control processes at the National Technical University “Kharkiv Polytechnic Institute. Since 1 May 2017, he has been serving as an Associate Professor at the Computer Science Department of Sumy State University. From 2021 to 2022, he completed his doctoral studies at the Department of Computer Systems, Networks, and Cybersecurity of the Faculty of Radioelectronics, Computer Systems, and Infocommunications at the National Aerospace University “Kharkiv Aviation Institute,” focusing on the research topic “Methodological Foundations and Information Technologies for Creating Resilient Intelligent Data Analysis Systems.” He is scheduled to present his dissertation for defence later this year.
His research interests encompass machine vision, artificial intelligence, resilient systems, and unmanned systems. He is a leading researcher at the Laboratory of Intelligent Systems at Sumy State University and has led numerous research projects, including “Information Technology for Providing Resilience of Artificial Intelligence Systems to Protect Cyber-Physical Systems” and “Intelligent Autonomous On-Board System of an Unmanned Aerial Vehicle for Identifying Objects on the Ground,” among others. Under his supervision, two doctoral dissertations have been successfully defended, focusing on autonomous navigation technologies for small unmanned aerial vehicles and the automatic generation of inspection reports for underground infrastructure based on video inspection data.
Since 2016, he has been the Chief Technology Officer (CTO) at Molfar Technologies Limited (London, United Kingdom), a company specializing in outsourced development of artificial intelligence systems for edge and cloud computing. In 2019, he also assumed the role of CTO at Molfar.AI s.p. z.o.o. (Gdańsk, Poland), which focuses on cloud-based AI technologies for video data analysis in infrastructure inspection and autonomous navigation technologies for UAVs.
- Speaker: Ihor Yakymenko
Ph.D., Associate Professor of the Department of Computer Engineering
E-mail: iyakymenko@ukr.net
Topic: Methods and means of cryptographic information protection based on the residual number system
Presentation in Ukrainian
Abstract: The work is devoted to the development and research of new encryption methods and techniques in the Residue Number System (RNS). The proposed cryptographic algorithms are based on the use of integer, polynomial, and hierarchical residue number systems and their modified forms, which significantly enhance efficiency, performance, and resistance to cryptanalytic attacks.
For the first time, a symmetric cryptographic algorithm in the Residue Number System has been developed, in which the ciphertext is represented as a set of residues modulo (keys). Analytical security assessments have made it possible to determine the required bit lengths and the number of moduli to ensure a protection level equivalent to the modern AES-256 symmetric encryption algorithm.
High-performance symmetric and asymmetric cryptographic algorithms have been proposed based on arbitrary replacement of basis numbers in the Residue Number System, which enhances security and resistance to cryptanalytic attacks. Single-key and dual-key symmetric encryption methods have been developed, the cryptanalysis of which requires solving NP-complete problems, ensuring high cryptographic strength.
New methods of encrypting and decrypting information flows in the hierarchical integer and polynomial residue number systems have been proposed. The use of parallelized computations and representation of the encrypted text as residues increases the encryption algorithm’s performance and security.
A methodology for cryptographic information protection in the Residue Number System has been developed. By utilizing vector-modular methods of modular multiplication and exponentiation, as well as integer, modified perfect form, polynomial, and hierarchical residue number systems, this methodology enhances security, reduces computational complexity, improves algorithm performance, and supports the development of a unified strategy for securing information flows.
Further development has been made in polynomial, two- and three-modulus asymmetric Rabin encryption algorithms, which exhibit reduced time and hardware complexity by replacing multiplication operations with addition operations. Additionally, methods for finding the inverse polynomial and methods for reconstructing a polynomial from its residues in the ring Z[x]Z[x]Z[x] have been improved, allowing for parallelized computations and reduced computational complexity.
The research results can be applied in the development of advanced cryptographic systems designed to protect confidential information under conditions of high computational workloads and cryptanalytic threats.
Resume: In 1998 graduated from the Taras Shevchenko National University of Kyiv on specialty Mathematics. In 2012 defended his dissertation for the Candidate degree (Ph.D.) of Technical Sciences. In 2018 received the title of Associate Professor of the Department of Computer Engineering. Currently, is the Dean of the Faculty of Computer Information Technologies of the West Ukrainian National University and works as an Associate Professor of the Department of Computer Engineering. Scientific interests: remainder class system, research of mathematical operations in cryptographic methods of information protection, asymmetric systems.
- Information about research projects and conferences: Anatoliy Sachenko
Doctor of Technical Sciences, Professor, scientific advisor of Research Institute for Intelligent Computer Systems.
E-mail: as@wunu.edu.ua