TY - JOUR
T1 - LCEDA
T2 - Lightweight and Communication-Efficient Data Aggregation Scheme for Smart Grid
AU - Su, Yuan
AU - Li, Yanping
AU - Li, Jiliang
AU - Zhang, Kai
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2021/10/15
Y1 - 2021/10/15
N2 - Secure data aggregation for smart grid aims to protect the privacy of individual data and guarantee the utility of big data. To protect user's privacy in data aggregation, public-key-based homomorphic encryption and masking-value-based methods are adopted in existing works. However, public-key-based homomorphic encryption causes unaffordable computation costs for smart meters (SMs), while the masking-value-based works suffer from inefficient communication. Therefore, we propose a lightweight and communication efficient data aggregation (LCEDA) scheme for smart grid. First, LCEDA allows SMs to freely form the aggregation zone at lower communication and computation costs. Second, in order to ensure forward security of individual data, LCEDA achieves efficient update of masking value share, which greatly saves the complexity and computation costs compared with the existing schemes. Third, LCEDA supports dynamic enrollment and revocation of SMs to solve the malfunction and migration of SMs and improve the scalability of the LCEDA scheme. Finally, the security of LCEDA is analyzed, and extensive performance evaluations and experiments demonstrate that LCEDA is more efficient and practical.
AB - Secure data aggregation for smart grid aims to protect the privacy of individual data and guarantee the utility of big data. To protect user's privacy in data aggregation, public-key-based homomorphic encryption and masking-value-based methods are adopted in existing works. However, public-key-based homomorphic encryption causes unaffordable computation costs for smart meters (SMs), while the masking-value-based works suffer from inefficient communication. Therefore, we propose a lightweight and communication efficient data aggregation (LCEDA) scheme for smart grid. First, LCEDA allows SMs to freely form the aggregation zone at lower communication and computation costs. Second, in order to ensure forward security of individual data, LCEDA achieves efficient update of masking value share, which greatly saves the complexity and computation costs compared with the existing schemes. Third, LCEDA supports dynamic enrollment and revocation of SMs to solve the malfunction and migration of SMs and improve the scalability of the LCEDA scheme. Finally, the security of LCEDA is analyzed, and extensive performance evaluations and experiments demonstrate that LCEDA is more efficient and practical.
KW - Communication efficient
KW - data aggregation
KW - data confidentiality
KW - smart grid
UR - https://www.scopus.com/pages/publications/85104675427
U2 - 10.1109/JIOT.2021.3074503
DO - 10.1109/JIOT.2021.3074503
M3 - 文章
AN - SCOPUS:85104675427
SN - 2327-4662
VL - 8
SP - 15639
EP - 15648
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 20
ER -