Alexandr Silonosov and Lawrence Henesey, Blekinge Institute of Technology, Sweden

The research presented in the paper evaluates practices of Attribute-Based Encryptionvas a key encapsulation mechanism and proposes end-to-end encryption architecture for a cloud basedvship tracking system confidentiality. Though extensively used for efficiently gathering and sharing maritime data, these systems draw information from Automated Identification Systems, ports, and vessels, which can lead to cyber-security vulnerabilities. This paper presents a study addressing the current state of knowledge, methodologies, and challenges associated with supporting cryptographic agility for End-to-End Encryption (E2EE) for AIS data. To study cryptographic agility performance, a new metric has been introduced for cryptographic library analysis that improves the methodology by comparing Attribute-Based Encryption (ABE) with state of the art CRYSTALS-Kyber key encapsulation mechanism (KEM) that belongs to Post-Quantum Cryptography (PQC). A comprehensive series of experiments are undertaken to simulate large-scale cryptographic migration within the proposed system, showcasing the practical applicability of the proposed approach in measuring cryptographic agility performance.

AIS ship tracking data, Key encapsulation mechanism, end-to-end encryption, cryptographic agility, CRYSTALS-Kyber,Post-Quantum Cryptography.