Blockchain-assisted Undisclosed IIoT Vulnerabilities Trusted Sharing Protection with Dynamic Token

With the large-scale deployment of industrial internet of things (IIoT) devices, the number of vulnerabilities that threaten IIoT security is also growing dramatically, including a mass of undisclosed IIoT vulnerabilities that lack mitigation measures. Coordination Vulnerabilities Disclosure (CVD) is one of the most popular vulnerabilities sharing solutions, in which some security workers (SWs) can develop undisclosed vulnerabilities patches together. However, CVD assumes that sharing participants (SWs) are all honest, and thus offering chances for dishonest SWs to leak undisclosed IIoT vulnerabilities. To combat such threats, we propose an Undisclosed IIoT Vulnerabilities Trusted Sharing Protection (UIV-TSP) scheme with dynamic token. In this article, a dynamic token is an implicit access credential for an SW to acquire an undisclosed vulnerability information, which is only held by the system and constantly updated as the SW access. Meanwhile, the latest updated token can be stealthily sneaked into the acquired information as the traceability token. Once the undisclosed vulnerability information leaves the SW host, the embedded self-destruct program will be automatically triggered to prevent leaks since the destination MAC address in the traceability token has changed. To quickly distinguish dishonest SWs, trust mechanism is adopted to evaluate the trust value of SWs. Moreover, we design a blockchain-assisted continuous logs storage method to achieve the tamper-proofing of dynamic token and the transparency of undisclosed IIoT vulnerabilities sharing. The simulation results indicate that our proposed scheme is resilient to suppress dishonest SWs and protect the IoT undisclosed vulnerabilities effectively.Comment: 10 pages,12 figure

Applications of Cyber Threat Intelligence (CTI) in Financial Institutions and Challenges in Its Adoption

The critical nature of financial infrastructures makes them prime targets for cybercriminal activities, underscoring the need for robust security measures. This research delves into the role of Cyber Threat Intelligence (CTI) in bolstering the security framework of financial entities and identifies key challenges that could hinder its effective implementation. CTI brings a host of advantages to the financial sector, including real-time threat awareness, which enables institutions to proactively counteract cyber-attacks. It significantly aids in the efficiency of incident response teams by providing contextual data about attacks. Moreover, CTI is instrumental in strategic planning by providing insights into emerging threats and can assist institutions in maintaining compliance with regulatory frameworks such as GDPR and CCPA. Additional applications include enhancing fraud detection capabilities through data correlation, assessing and managing vendor risks, and allocating resources to confront the most pressing cyber threats. The adoption of CTI technologies is fraught with challenges. One major issue is data overload, as the vast quantity of information generated can overwhelm institutions and lead to alert fatigue. The issue of interoperability presents another significant challenge; disparate systems within the financial sector often use different data formats, complicating seamless CTI integration. Cost constraints may also inhibit the adoption of advanced CTI tools, particularly for smaller institutions. A lack of specialized skills necessary to interpret CTI data exacerbates the problem. The effectiveness of CTI is contingent on its accuracy, and false positives and negatives can have detrimental impacts. The rapidly evolving nature of cyber threats necessitates real-time updates, another hurdle for effective CTI implementation. Furthermore, the sharing of threat intelligence among entities, often competitors, is hampered by mistrust and regulatory complications. This research aims to provide a nuanced understanding of the applicability and limitations of CTI within the financial sector, urging institutions to approach its adoption with a thorough understanding of the associated challenges

Розробка структури блокчейн-сховища для індикаторів компрометації в розподіленій системі обміну загрозами

Завданням роботи є розробка архітектури розподіленої системи обміну IoC та створення порівняльних характеристик технологій для реалізації архітектурних елементів. Мета цієї дипломної роботи полягає у створенні системи для ефективного зберігання та обміну індикаторами компрометації. Об’єктом дослідження є архітектура розподіленої системи обміну індикаторами компрометації з блокчейн сховищем для IoC. Предметом дослідження є можливість ефективного збереження та обміну чутливими даними, таким як IoC.The task of the work is to develop the architecture of a distributed IoC exchange system and create comparative characteristics of the technology for the implementation of architectural elements, such as databases or blockchains. The purpose of this graduate work is to create a system for effective storage and exchange of indicators of compromise. The object of research is the architecture of a distributed system of exchange of compromise indicators with blockchain storage for IoC. The subject of the study is the ability to efficiently store and exchange sensitive data such as IoC

A new network model for cyber threat intelligence sharing using blockchain technology

The aim of this research is to propose a new blockchain network model that facilitates the secure dissemination of Cyber Threat Intelligence (CTI) data. The primary motivations for this study are based around the recent changes to information security legislation in the European Union and the challenges that Computer Security and Incident Response Teams (CSIRT) face when trying to share actionable and highly sensitive data within systems where participants do not always share the same interests or motivations. We discuss the common problems within the domain of CTI sharing and we propose a new model, that leverages the security properties of blockchain. Our model provides a more effective and efficient framework for a CTI sharing network that has the potential to overcome the trust barriers and data privacy issues inherent in this domain. We implemented a testbed using Hyperledger Fabric and the STIX 2.0 protocol and validated the efficacy of the segmentation, implemented using smart contracts and Fabric channels