| Title | Context-Oriented Privacy Protection in Wireless Sensor Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | DaSilva, Gianni, Loud, Vincent, Salazar, Ana, Soto, Jeff, Elleithy, Abdelrahman |
| Conference Name | 2019 IEEE Long Island Systems, Applications and Technology Conference (LISAT) |
| Keywords | base station, compositionality, context oriented, context-oriented privacy protection, data privacy, Human Behavior, location data, location privacy, Location Privacy in Wireless Networks, Metrics, privacy, pubcrawl, Resiliency, security breaches, security measures, telecommunication security, Wireless sensor networks, WSN |
| Abstract | As more devices become connected to the internet and new technologies emerge to connect them, security must keep up to protect data during transmission and at rest. Several instances of security breaches have forced many companies to investigate the effectiveness of their security measures. In this paper, we discuss different methodologies for protecting data as it relates to wireless sensor networks (WSNs). Data collected from these sensors range in type from location data of an individual to surveillance for military applications. We propose a solution that protects the location of the base station and the nodes while transmitting data. |
| DOI | 10.1109/LISAT.2019.8817341 |
| Citation Key | dasilva_context-oriented_2019 |
Context-Oriented Privacy Protection in Wireless Sensor Networks