2018/06/05 by Dalton Cézane Gomes Valadares, Valadares, Dalton Cézane Gomes, Matteus Sthefano Leite da Silva +5
Computer Science · #Cloud Data Security Solutions #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Security and Verification in Computing
paper · pdf · doi:10.48550/arxiv.1806.01906
openalex publication_date 2018/06/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The Internet of Things (IoT) field has gained much attention from industry\nand academia, being the main subject for numerous research and development\nprojects. Frequently, the dense amount of generated data from IoT applications\nis sent to a cloud service, that is responsible for processing and storage.\nMany of these applications demand security and privacy for their data because\nof their sensitive nature. This is specially true when such data must be\nprocessed in entities hosted in public clouds, where the environment in which\napplications run may not be trusted. Some concerns are then raised since it is\nnot trivial to provide the needed protection for these sensitive data. We\npresent a solution that considers the security components of FIWARE and the\nIntel SGX capabilities. FIWARE is a platform created to support the development\nof Smart Applications, including IoT systems, and SGX is the Intel solution for\nTrusted Execution Environment (TEE). We propose a new component for key\nmanagement that, together with other FIWARE components, can be used to provide\nprivacy, confidentiality, and integrity guarantees for IoT data. A case study\nillustrates how this proposed solution can be employed in a realistic scenario,\nwhich allows the dissemination of sensitive data through public clouds without\nrisking privacy issues. The results of the experiments provide evidence that\nour approach does not harm scalability or availability of the system. In\naddition, it presents acceptable memory costs when considering the benefit of\nthe privacy guarantees achieved.\n