Qingwen Li (Xidian University), Song Bian (Beihang University), Hui Li (Xidian University)

Private Set Union (PSU) allows two parties to compute the union of their private sets without revealing any additional information. While several PSU protocols have been proposed for the unbalanced setting, these constructions still suffer from substantial communication overhead as the size of the larger set increases. Moreover, their reliance on multiple invocations of oblivious pseudo-random functions results in increased communication rounds, which becomes a practical bottleneck.

In this work, we present cwPSU, a novel unbalanced PSU protocol built upon constant-weight codes and leveled fully homomorphic encryption. To prevent leakage, we introduce a new technique called Batched Ciphertext Shuffle, which enables secure reordering of packed ciphertexts. Additionally, we propose an optimized arithmetic constant-weight equality operator, which reduces the number of non-scalar multiplications to just one-third of those required by the naïve approach. The communication complexity of our protocol scales linearly with the size of the smaller set and remains independent of the larger set. Notably, cwPSU requires only a single round of online communication.

Experimental results demonstrate that our cwPSU outperforms the state-of-the-art protocol in various network conditions, achieving a 5.1–32.4x reduction in communication and a 3.1–13.3x speedup in runtime.

View More Papers

NOD: Uncovering intense attackers’ behavior through Nested Outlier Detection...

Ghazal Abdollahi (University of Utah), Hamid Asadi (University of Utah), Robert Ricci (University of Utah)

Read More

PriSrv+: Privacy and Usability-Enhanced Wireless Service Discovery with Fast...

Yang Yang (Singapore Management University), Guomin Yang (Singapore Management University), Yingjiu Li (University of Oregon, USA), Pengfei Wu (Singapore Management University), Rui Shi (Hainan University, China), Minming Huang (Singapore Management University), Jian Weng (Jinan University, Guangzhou, China), HweeHwa Pang (Singapore Management University), Robert H. Deng (Singapore Management University)

Read More

PathProb: Probabilistic Inference and Path Scoring for Enhanced and...

Yingqian Hao (Computer Network Information Center, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Hui Zou (Computer Network Information Center, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Lu Zhou (Computer Network Information Center, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Yuxuan Chen (Computer Network Information Center, Chinese…

Read More