The field of Intelligent Transportation Systems (ITS) is moving towards increased security and privacy, with a focus on developing innovative solutions to protect against cyber threats and data breaches. Researchers are exploring novel authentication frameworks, secure data aggregation protocols, and decentralized architectures to ensure the integrity and confidentiality of transportation data. Notably, the development of Zero-Trust models and blockchain-based systems is gaining traction, offering promising approaches to mitigate security risks and enhance trust in ITS. Some noteworthy papers in this regard include: Zero-Trust Mobility-Aware Authentication Framework for Secure Vehicular Fog Computing Networks, which presents a novel authentication framework for secure communication in vehicular fog computing networks. Network Hexagons Under Attack: Secure Crowdsourcing of Geo-Referenced Data, which proposes an enhanced security architecture for secure crowdsourcing of geo-referenced data. Breaking Anonymity at Scale: Re-identifying the Trajectories of 100K Real Users in Japan, which demonstrates the limitations of current trajectory anonymization methods and highlights the need for more robust privacy mechanisms.