| Title | Contextual Privacy Policy Modeling in IoT |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Onu, Emmanuel, Mireku Kwakye, Michael, Barker, Ken |
| Conference Name | 2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) |
| Keywords | Context, Context modeling, Cyber-physical systems, Cyberspace, data privacy, Human Behavior, Intelligent sensors, Internet of Things, IoT, IoT Privacy Taxonomy, privacy, Privacy Formalization, Privacy Policies, privacy policy, pubcrawl, Scalability, Smart buildings, Taxonomy |
| Abstract | The Internet of Things (IoT) has been one of the biggest revelations of the last decade. These cyber-physical systems seamlessly integrate and improve the activities in our daily lives. Hence, creating a wide application for it in several domains, such as smart buildings and cities. However, the integration of IoT also comes with privacy challenges. The privacy challenges result from the ability of these devices to pervasively collect personal data about individuals through sensors in ways that could be unknown to them. A number of research efforts have evaluated privacy policy awareness and enforcement as key components for addressing these privacy challenges. This paper provides a framework for understanding contextualized privacy policy within the IoT domain. This will enable IoT privacy researchers to better understand IoT privacy policies and their modeling. |
| DOI | 10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00030 |
| Citation Key | onu_contextual_2020 |
Contextual Privacy Policy Modeling in IoT