An aggregation scheme in a service-outsourced smart grid that protects against malicious data mining attacks

Baoyi Wang; Xian Du; Shaomin Zhang

doi:10.23977/acss.2023.070214

An aggregation scheme in a service-outsourced smart grid that protects against malicious data mining attacks

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DOI: 10.23977/acss.2023.070214 | Downloads: 15 | Views: 383

Author(s)

Baoyi Wang ¹, Xian Du ¹, Shaomin Zhang ¹

Affiliation(s)

¹ School of Control and Computer Engineering, North China Electric Power University, Baoding, Hebei, 071003, China

Corresponding Author

Baoyi Wang

ABSTRACT

In price-based demand response, some sensitive computing is outsourced to service providers to reduce computational overhead for utilities, which poses some threats of privacy breaches to customers. Existing schemes protect user private data by data aggregation, but cannot resist the threat of data mining to user privacy leakage. An improved data aggregation homomorphic encryption scheme is proposed in this paper, which can effectively resist the threats to user privacy brought by data mining, and at the same time, the efficiency can be guaranteed by batch verification of encrypted messages. By analyzing the scheme's security and performance, demonstrated resistance to the threat of data mining attacks.

KEYWORDS

Service outsourcing, data aggregation, privacy protection, homomorphic encryption

CITE THIS PAPER

Baoyi Wang, Xian Du, Shaomin Zhang. An aggregation scheme in a service-outsourced smart grid that protects against malicious data mining attacks. Advances in Computer, Signals and Systems (2023) Vol. 7: 101-105. DOI: http://dx.doi.org/10.23977/acss.2023.070214.

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An aggregation scheme in a service-outsourced smart grid that protects against malicious data mining attacks

Author(s)

Affiliation(s)

Corresponding Author

ABSTRACT

KEYWORDS

CITE THIS PAPER

REFERENCES

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