Education 3.0, AI and HyFi are the three pillars of the Kohenoor Ecosystem where Education is the enabler and this perhaps is the only way to transform the world into a more productive and future-embracing place. This document presents a defensive technical disclosure describing a Hybrid-Finance (HyFi) CeDeFi operational infrastructure developed by Kohenoor Technologies. The architecture integrates Education 3.0, Multilayered Hybrid Intelligence Engine and programmable decentralized settlement execution, supervised decision processes, structured governance control, and workforce operational enablement into a coordinated financial operating framework. The system is intended to enable organizations to operate blockchain-based financial processes as recurring business operations rather than isolated transactions. It defines coordinated operational layers consisting of settlement mapping, intelligence interpretation, supervised decision execution, and human operational readiness. The disclosure documents the research progression, implementation embodiments, and architectural definitions of the system and is published to establish publicly verifiable prior art. The referenced implementations illustrate functional embodiments and do not limit the architecture to any specific network, software platform, or digital asset. Also attached herewith is the executive overview of Kohenoor Ecosystem R&D, finalized after seven years of rigorous research, testing, and model refinement. Lead Researcher: Ahmad Bilal Khan, Founder of Kohenoor Technologies and principal architect of the KAI Alpha+ framework. ORCID Profile A cryptographic timestamp proof accompanies this publication to attest to the existence of the document at the time of disclosure. Test ProEdge(Alpha): kenhyfi.kohenoor.tech Keywords: #kenhyfi #kai #hyfi #kohenoortechnologies #futureofeducation #futureoffinance #futureofai #kohenoorken #cryptocurrencies #kohenoorken #AI #actionai #agenticai #AGI #ArtificialGeneralIntelligenceAGI #AIAssistant #education3 #defi #hybridfinance #hyfi #cedefi #blockchain #innovation #settlements #auditreadycertificates #DASC #cybersecurity #web3 #businessintelligence #proedge #industrygradetrainings #quantumcomputing
In modern distributed information systems, the need to ensure a high level of cybersecurity, data integrity, and confidentiality under conditions of interorganizational interaction is steadily increasing.Blockchain technologies enhance transparency and trust among participants; however, traditional consensus mechanisms are accompanied by significant computational overhead, risks of centralization, and limited capabilities for protecting sensitive information.These issues are particularly acute in corporate environments of small and medium-sized enterprises, where the computational resources of network nodes are constrained while the requirements for business data confidentiality remain high.A promising direction is the integration of Zero-Knowledge Proof (ZKP) mechanisms, which enable verification of operation correctness without disclosing the underlying data.Nevertheless, their practical adoption is hindered by the high cost of proof construction for classical cryptographic primitives.In particular, for the SM3 hash function there are no efficient optimized implementations of preimage proofs, and its bit-oriented structure leads to a substantial increase in circuit size and proof generation time, making its use infeasible in resource-constrained environments.This paper proposes a dockerized private blockchain architecture oriented toward corporate environments with limited resources, combining the trust-oriented Proof of Friendship consensus with Zero-Knowledge Proof mechanisms.The key result is the development of an approach for optimizing SM3 hash preimage proofs in ZKP systems.The paper introduces principles of manual optimization of the SM3 circuit representation, including reduction of bitwise operations, aggregation of 1965 constraints, optimization of message expansion, and reduction of round depth.It is shown that these transformations significantly decrease the size of arithmetic circuits and proof generation time compared to naive algorithm translation, enabling practical use of SM3 in zero-knowledge systems and corporate blockchain solutions.The proposed approach provides a balance between blockchain transparency and business data confidentiality, forming a "trust but do not disclose" model.The obtained results establish a scientific and practical foundation for deploying privacypreserving computation in distributed information systems and for developing nextgeneration secure blockchain platforms.
In the evolving landscape of cybercrime and digital investigations, the integrity and traceability of digital evidence are paramount.Traditional chain-of-custody (CoC) mechanisms in digital forensics rely heavily on centralized systems, manual logging, and institutional trust, all of which are prone to human error, tampering, and data loss.This study introduces a blockchain-based chain-of-custody model aimed at ensuring immutable, transparent, and verifiable tracking of digital evidence across its entire lifecycle-from acquisition and analysis to presentation in court.Leveraging blockchain's decentralized architecture and cryptographic immutability, the proposed framework records every interaction with digital evidence, including transfers, access logs, and analysis events, in a tamper-proof ledger distributed across trusted nodes in a forensic network.Smart contracts automate procedural compliance, access permissions, and time-stamping, thereby reducing reliance on third-party oversight and enhancing procedural integrity.The system was designed and simulated using Hyperledger Fabric, integrating role-based access control and hash-based evidence fingerprinting.Benchmark testing demonstrated the model's robustness in preserving forensic timelines under various adversarial scenarios, including internal breaches and unauthorized access attempts.In addition to enhancing evidentiary credibility, this blockchain-enhanced CoC model offers interoperability with existing digital forensic tools and forensic readiness systems.By aligning with legal admissibility standards and ensuring end-to-end accountability, the framework strengthens the evidentiary chain, particularly in multi-jurisdictional and cloudbased investigations.As digital forensics faces increasing scrutiny regarding evidentiary handling, this research presents a scalable and future-proof alternative to conventional CoC practices-crucial for maintaining the rule of law in cybercrime prosecutions.
The pseudonymous nature of Bitcoin continually generates interest in services aimed at enhancing transaction anonymity. One such solution is the use of Bitcoin mixing services, commonly referred to as mixers, which are employed to increase user privacy. However, their use can be controversial, as while they serve to enhance financial privacy, they can also be exploited for illicit purposes. One of the challenges faced by law enforcement is identifying suspicious Bitcoin addresses. The purpose of this article is to examine the behavior of selected cryptocurrency mixers as a foundation for future research in this area.
Logistics is an integral part of the economic development of any industry and country. It ensures the formation of effective movement of goods, services and information between producers and consumers. In today's world, the existence of logistics operations is impossible without the use of information technologies that help optimize logistics processes, increase their efficiency and reduce costs associated with transportation. The active pace of development of information technologies makes it possible to achieve further optimization of logistics processes, increase in the volume and speed of global trade. However, an in-depth ongoing analysis of the positive and possible negative consequences of the introduction of modern technologies into the field of logistics is necessary on the way to their development and implementation. Also, the study of the possible mutual integration of existing information systems in logistics and related fields is a rather significant factor for achieving a synergistic effect. Transport logistics on a global scale today is impossible without the use of innovative information systems. Such systems are effective for the development of the logistics industry, which requires the introduction of secure information technologies on a global scale (sea transportation, road transport, "last mile logistics", etc.). However, modern events in the world raise certain new challenges that arise before the field of transport logistics as a whole and, in particular, in the information provision of cargo transportation. The existing information systems used in logistics are not sufficiently flexible and capable of rapid changes and effective response to risks that complicate the circulation of goods. The integration of logistics information systems together with information systems of related industries will allow to reach a new level of information service for transportation and, to a certain extent, effectively counteract predictable and unpredictable levels of risks. The purpose of the study is to form a theoretical basis for the information support system of transport logistics in business activities, taking into account the influence of endogenous and exogenous factors. Transport logistics is a component of logistics, which covers the organization and management of the processes of moving goods and raw materials from the place of their origin to the place of consumption. The main tasks of transport logistics include route planning, choice of mode of transport, organization of transportation, monitoring and control, customs clearance, risk management and cost optimization. Each of these systems provides a lot of functionality, greatly simplifies and automates certain processes. Such information systems can exist separately or be integrated with each other, but they, even in aggregate, do not provide effective quick solutions in certain circumstances. Challenges for the emergence of risks in transport logistics in modern business conditions are due to military conflicts, pandemics, sanctions imposed on certain countries and tension in relations between some countries and other endogenous and exogenous factors. Accordingly, it is necessary to implement innovative transport logistics information systems that could instantly respond to risks in real time and offer effective solutions. Appropriate development and implementation of the "Global Transport Information System" - GTIS (Global Transport Information System). It should cover most of the world's supply chains - large and small transport operators (all major modes of transport), operators of port, fuel and other transport infrastructure, warehouse services, etc. The functions of such a system should to some extent cover the functions of WMS, SCM and TMS systems, but at a new fundamental level, taking into account the challenges of today. Each technology has its own advantages and disadvantages, which must be taken into account when designing any system of information support for transport logistics in business activities. Thus, the devices of the IoT sector, which widely help humanity at every step, have a significant drawback - this is the autonomy of work, which is accompanied by the need to attach additional power elements, which affects the cost and size of such devices. Artificial intelligence technologies for commercially viable work require the right choices of algorithms for each task and a large amount of real data on which the model will be trained. Distributed ledger technologies require significant computing and energy resources to ensure system decentralization. The article examines the existing information systems for providing transport logistics in business activities, which are used by transport companies, conglomerates and individual business structures, their prevalence and obvious shortcomings. A model of the GTIS global transport information system is proposed, which is fundamentally different from existing systems. Decentralization and the lack of influence on it from the side of commercial or government structures will avoid many artificial restrictions and speculations in the field of transport logistics. The modular principle of connecting services to the GTIS system will allow it to be easily scaled, adding the necessary functionality, services and resources. The system is aimed at simplifying entry into the structure of any type of user, which will lead to increased turnover and expand and increase competition in this industry. A mechanism for the implementation of the coordination of information provision of logistics services in business activities has been formed, which, in order to ensure the automation and optimization of transportation processes, requires the introduction of innovative information technologies such as the Internet of Things (IoT), artificial intelligence (AI) and Big Data in GTIS.
В роботi дослiджена чинна проблема взаємної автентифiкацiї (Peer-to-Peer Authentication) в мережi VoIP. Розглянуто найбiльш небезпечнi типи атак на VoIP мережу та розроблено механiзм протидiї цим атакам за допомогою взаємної автентифiкацiї. Взаємна автентифiкацiя реалiзована на основi криптографiчних протоколiв: «Zero-knowledge proof» та «Secret sharing». В результатi створено тестовий застосунок, який на основi протоколу SIP iмiтує встановлення з’єднання та проведення взаємної автентифiкацiї за запропонованими принципами