TY - GEN
T1 - Efficiently validating aggregated IoT data integrity
AU - Kaaniche, Nesrine
AU - Jung, Eunjin E.J.
AU - Gehani, Ashish
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/5
Y1 - 2018/7/5
N2 - We address the problem of validating the integrity of data aggregated in applications that run on the Internet of Things (IoT). When data from multiple sources is sent to a single receiver, the receiver needs to efficiently verify the authenticity and integrity of data. For example, sensors from multiple IoT devices would send the measurements to a gateway for data aggregation and/or processing. The gateway needs to verify the authenticity and integrity of the readings from sensors. To address this need, we propose a lightweight homomorphic signature scheme that supports the execution of aggregation operations. Our approach collects digital signatures from multiple sources and provides an efficient aggregated signature verification mechanism for the end receiver. The aggregation and verification mechanism preserves the privacy of intermediate nodes. We discuss how our homomorphic signature scheme resists forgery and replay attacks.
AB - We address the problem of validating the integrity of data aggregated in applications that run on the Internet of Things (IoT). When data from multiple sources is sent to a single receiver, the receiver needs to efficiently verify the authenticity and integrity of data. For example, sensors from multiple IoT devices would send the measurements to a gateway for data aggregation and/or processing. The gateway needs to verify the authenticity and integrity of the readings from sensors. To address this need, we propose a lightweight homomorphic signature scheme that supports the execution of aggregation operations. Our approach collects digital signatures from multiple sources and provides an efficient aggregated signature verification mechanism for the end receiver. The aggregation and verification mechanism preserves the privacy of intermediate nodes. We discuss how our homomorphic signature scheme resists forgery and replay attacks.
UR - https://www.scopus.com/pages/publications/85050662664
U2 - 10.1109/BigDataService.2018.00046
DO - 10.1109/BigDataService.2018.00046
M3 - Conference contribution
AN - SCOPUS:85050662664
T3 - Proceedings - IEEE 4th International Conference on Big Data Computing Service and Applications, BigDataService 2018
SP - 260
EP - 265
BT - Proceedings - IEEE 4th International Conference on Big Data Computing Service and Applications, BigDataService 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2018
Y2 - 26 March 2018 through 29 March 2018
ER -