• Saranya Jaganathan

Smart grid environments continuously generate time-varying power consumption data, which must be transmitted to a central server for processing. In such systems, the failure of a single sensor node can disrupt the entire aggregation process. Earlier approaches address this issue using fault-tolerant aggregation mechanisms that continue to operate even when certain nodes fail. However, ensuring the integrity of aggregated data remains a major challenge, as transmitted readings may be altered or corrupted. To overcome this limitation, a recoverable-data strategy is adopted, enabling restoration of accurate data even when corruption occurs. This is achieved by comparing aggregated values with sensor-generated information. The proposed model strengthens integrity and privacy preservation while supporting secure data aggregation in smart grids.

Data integrity, homomorphic encryption, Signature Aggregation, Data Integrity Verification,wireless sensor networks.

"A Robust Data Integrity and Privacy Model for IoT-Integrated Smart Grids", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.f838-f841, November-2025, Available :http://www.jetir.org/papers/JETIR2511620.pdf

"A Robust Data Integrity and Privacy Model for IoT-Integrated Smart Grids", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppf838-f841, November-2025, Available at : http://www.jetir.org/papers/JETIR2511620.pdf