Title | An Efficient Location Privacy Scheme for Wireless Multimedia Sensor Networks |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Almalkawi, Islam T., Raed, Jafar, Alghaeb, Nawaf, Zapata, Manel Guerrero |
Conference Name | 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) |
Keywords | authentication, authorisation, compositionality, Contextual Privacy, cross-layer design, cryptography, data encryption, data privacy, delays, energy consumption, Global Attacks, Human Behavior, image processing, Intrusion detection, Location Privacy in Wireless Networks, location privacy scheme, Metrics, Multimedia communication, multimedia processing technique, multipath routing, privacy, pubcrawl, Resiliency, Routing, Routing protocols, security, Source/Sink Location Anonymity, telecommunication network routing, unobservability scheme, wireless multimedia sensor networks, Wireless sensor networks |
Abstract | Most of the security algorithms proposed for the sensor networks such as secure routing, data encryption and authentication, and intrusion detection target protecting the content of the collected data from being exposed to different types of attacks. However, the context of the collected data, such as event occurrence, event time, and event location, is not addressed by these security mechanisms and can still be leaked to the adversaries. Therefore, we propose in this paper a novel and efficient unobservability scheme for source/sink location privacy for wireless multimedia sensor networks. The proposed privacy scheme is based on a cross-layer design between the application and routing layers in order to exploit the multimedia processing technique with multipath routing to hide the event occurrences and locations of important nodes without degrading the network performance. Simulation analysis shows that our proposed scheme satisfies the privacy requirements and has better performance compared to other existing techniques. |
DOI | 10.1109/ETFA.2019.8869338 |
Citation Key | almalkawi_efficient_2019 |