Secure Communications and Protected Data for a Internet of Things Smart Toy Platform
Autor: | Antonio García, Juan R. Velasco, Diego Rivera, María-Luisa Martín-Ruiz, Bernardo Alarcos, Ana Gómez Oliva |
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Rok vydání: | 2019 |
Předmět: |
Authentication
Computer Networks and Communications Computer science business.industry 05 social sciences 050301 education Data security 020206 networking & telecommunications 02 engineering and technology Computer security computer.software_genre Encryption Computer Science Applications Hardware and Architecture Server Signal Processing 0202 electrical engineering electronic engineering information engineering business Internet of Things 0503 education computer Information Systems |
Zdroj: | IEEE Internet of Things Journal. 6:3785-3795 |
ISSN: | 2372-2541 |
DOI: | 10.1109/jiot.2019.2891103 |
Popis: | The growth of the Internet of Things (IoT) has favored the emergence of new applications and services. Consequently, new challenges in data security and protection have arisen because many IoT systems collect sensitive data that could be the target of attacks and intrusion attempts. Such is the case of smart toy platforms, where the loss of personal data is particularly serious because it involves children and therefore user privacy requires special protection. In this paper, we propose a series of security mechanisms to protect an IoT smart toy platform designed to help child development professionals in the early detection of psychomotor delays. Protecting information is crucially important in this environment, as a successful attack could be used to extract personal and health-related information. We have designed and built specific security mechanisms for the system by identifying the main threats in each submodule of the system, and then neutralizing or minimizing them. Due to the smart toys’ hardware restrictions, a specific encryption and authentication mechanism is proposed and presented here. All the mechanisms have been validated on the platform, and have proved to be a feasible and secure solution for this sensitive environment. |
Databáze: | OpenAIRE |
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