| Title | A Scalable Correlation Clustering strategy in Location Privacy for Wireless Sensor Networks against a Universal Adversary |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | George, Chinnu Mary, Luke Babu, Sharon |
| Conference Name | 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) |
| Keywords | adversary, compositionality, Correlation, correlation methods, energy consumption, Human Behavior, Information Privacy, location privacy, Location Privacy in Wireless Networks, Metrics, privacy, pubcrawl, remote Environment, Resiliency, scalable, scalable correlation clustering strategy, security, Semantics, sensor placement, Sensors, telecommunication network planning, telecommunication security, Trust, universal adversary, wireless network sensors, Wireless sensor networks |
| Abstract | Wireless network sensors are outsized number of pocket sized sensors deployed in the area under surveillance. The sensor network is very sensitive to unattended and remote Environment with a wide variety of applications in the agriculture, health, industry there a lot of challenges being faced with respect to the energy, mobility, security. The paper presents with regard to the context based surrounding information which has location privacy to the source node against an adversary who sees the network at a whole so a correlation strategy is proposed for providing the privacy. |
| DOI | 10.1109/ICCIKE47802.2019.9004343 |
| Citation Key | george_scalable_2019 |
A Scalable Correlation Clustering strategy in Location Privacy for Wireless Sensor Networks against a Universal Adversary