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Malicious secure lightweight private set intersection
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DOI：10.1016/j.jisa.2025.104342.png)
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Abstract
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This paper presents a novel Malicious Secure Private Set Intersection (MSL-PSI) protocol that is lightweight in communication that leverages polynomials and Bloom filters for efficient privacy-preserving set intersection. The protocol requires only a single round of symmetric communication, where both parties simultaneously obtain the intersection result without additional sharing. Under the Universal Composability (UC) framework, MSL-PSI is proven secure against malicious adversaries. Experimental results demonstrate superior performance on small-scale datasets compared to state-of-the-art methods, with significantly lower communication overhead. The protocol’s Bloom filter-based design enables dynamic updates and scalability, making it suitable for applications like privacy-preserving data analysis and contact tracing, particularly in communication-constrained environments.
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