| Title | Privacy Preserving Data Aggregation in Fog Computing using Homomorphic Encryption: An Analysis |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Sendhil, R., Amuthan, A. |
| Conference Name | 2020 International Conference on Computer Communication and Informatics (ICCCI) |
| Keywords | authenticity, cloud computing, cloud environment, Cloud Securit, cloud services, cryptography, data integrity, data privacy, False Data Injection, Fog Computing, fog node, homomorphic encryption, homomorphic encryption algorithms, human factors, Internet of Things, Io, IoT devices, location related awareness, Metrics, mobility awareness, privacy, privacy preserving data aggregation, pubcrawl, Resiliency, Scalability |
| Abstract | In recent days the attention of the researchers has been grabbed by the advent of fog computing which is found to be a conservatory of cloud computing. The fog computing is found to be more advantageous and it solves mighty issues of the cloud namely higher delay and also no proper mobility awareness and location related awareness are found in the cloud environment. The IoT devices are connected to the fog nodes which support the cloud services to accumulate and process a component of data. The presence of Fog nodes not only reduces the demands of processing data, but it had improved the quality of service in real time scenarios. Nevertheless the fog node endures from challenges of false data injection, privacy violation in IoT devices and violating integrity of data. This paper is going to address the key issues related to homomorphic encryption algorithms which is used by various researchers for providing data integrity and authenticity of the devices with their merits and demerits. |
| DOI | 10.1109/ICCCI48352.2020.9104191 |
| Citation Key | sendhil_privacy_2020 |
Privacy Preserving Data Aggregation in Fog Computing using Homomorphic Encryption: An Analysis