Abstract

The Internet of Things (IoT) is a rapidly evolving technology that interconnects physical objects through communication networks, facilitating data collection and sharing for improved decision-making and efficiency across sectors. However, the extensive collection of personal data without consent raises privacy concerns and exposes individuals to data misuse. This systematic review aims to determine the most suitable technologies for the protection of personal data, identifying vulnerabilities in the application of IoT systems in the context of smart cities. To achieve this, existing literature on data privacy in IoT systems was analyzed, based on searches in the WoS and Scopus databases, and 15 relevant studies addressing different aspects of data privacy were selected. The review's findings revealed that data privacy in IoT systems is an active and evolving research area. Various techniques and approaches were found to protect data privacy in IoT environments, including the use of encryption algorithms, anonymization techniques, data transmission protocols, and location hiding solutions, among others. Finally, key considerations related to data privacy protection in the implementation of IoT systems were identified, such as the management of large volumes of data generated by IoT devices, system interoperability, and the reconciliation between privacy and data utility. This review can serve as a foundation for future research and the development of more effective solutions for protecting data privacy in IoT systems.