The increasing integration of Artificial Intelligence (AI) in critical sectors such as healthcare, finance, and cybersecurity has simultaneously exposed these systems to unique vulnerabilities and cyber threats. This paper discusses the escalating risks associated with adversarial AI and outlines the development of AIAS. AIAS is a comprehensive, AI-driven security platform designed to enhance the resilience of AI systems against such threats. In addition, AIAS features advanced modules for threat simulation, detection, mitigation, and deception, using adversarial defense techniques, attack detection mechanisms, and sophisticated honeypots. The platform leverages explainable AI (XAI) to improve the transparency and effectiveness of threat countermeasures. Through meticulous analysis and innovative methodologies, AIAS aims to revolutionize cybersecurity defenses, enhancing the robustness of AI systems against adversarial attacks while fostering a safer deployment of AI technologies in critical applications. The paper details the components of the AIAS platform, explores its operational framework, and discusses future research directions for advancing AI security measures.

This paper explores the integration of blockchain technology, specifically Hyperledger Fabric, with satellite communications to enhance the security and reliability of global navigation satellite systems (GNSS). Given the inherent vulnerabilities in satellite systems, such as the susceptibility to various cyberattacks and the risk posed by GNSS signal attacks, this research proposes a novel security framework. By leveraging blockchain’s decentralized and immutable nature, the paper aims to fortify the integrity and verification of GNSS data. The enhancement of GNSS data integrity and verification is achieved through a consensus mechanism that aim to prevent unauthorized data alterations and provide robust anti-spoofing and anti-jamming capabilities. Integrating blockchain with satellite communications not only ensures data security but also fosters a transparent and decentralized operational model by enhancing the trustworthiness of satellite-derived data. In addition, this paper outlines the current state-of-the-art, the architecture of the proposed solution, and discusses the potential challenges and future research directions in optimizing blockchain for space applications.