Abstract
Increase in number of Internet of Things (IoT) devices and the diversity of forms of interaction can make it tiring to ask the user to make a privacy decision whenever it contacts a new IoT device or some device tries to access certain information. Due to sensitivity of many of information captured by IoT devices, it is necessary that data captured by IoT devices be processed before being sent to the cloud services. This work aims to present the Privacy Everywhere mechanism for decision making and guarantees user privacy in IoT environments. In validation of mechanism, accuracy check of the Allow/Deny and Privacy Action neural networks that make up the mechanism presented an accuracy of 88.02% and 86.67%, respectively. According to the results, the Privacy Everywhere mechanism is able to help users preserve the privacy of their data in IoT environments.
Recommended Citation
Andrade, Leandro Prado de and Zorzo, Sergio Donizetti, "Privacy Everywhere: a mechanism for decision making and privacy assurance in IoT environments" (2019). AMCIS 2019 Proceedings. 2.
https://aisel.aisnet.org/amcis2019/info_security_privacy/info_security_privacy/2
Privacy Everywhere: a mechanism for decision making and privacy assurance in IoT environments
Increase in number of Internet of Things (IoT) devices and the diversity of forms of interaction can make it tiring to ask the user to make a privacy decision whenever it contacts a new IoT device or some device tries to access certain information. Due to sensitivity of many of information captured by IoT devices, it is necessary that data captured by IoT devices be processed before being sent to the cloud services. This work aims to present the Privacy Everywhere mechanism for decision making and guarantees user privacy in IoT environments. In validation of mechanism, accuracy check of the Allow/Deny and Privacy Action neural networks that make up the mechanism presented an accuracy of 88.02% and 86.67%, respectively. According to the results, the Privacy Everywhere mechanism is able to help users preserve the privacy of their data in IoT environments.