Attacking the Privacy of Approximate Membership Check Filters by Positive Concentration

Author:

Reviriego Pedro1ORCID,Sánchez-Macián Alfonso2ORCID,Merino-Gómez Elena2ORCID,Rottenstreich Ori3ORCID,Liu Shanshan4ORCID,Lombardi Fabrizio5ORCID

Affiliation:

1. Universidad Politécnica de Madrid, Madrid, Spain

2. Universidad Antonio de Nebrija, Madrid, Spain

3. Taub Department of Computer Science, The Viterbi Department of Electrical Engineering, Technion, Israel

4. Klipsch School of ECE, New Mexico State University, Las Cruces, NM, USA

5. Department of ECE, Northeastern University, Boston, MA, USA

Funder

ACHILLES

Spanish Agencia Estatal de Investigacion

6G-INTEGRATION-3

Madrid Community

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Reference32 articles.

1. ”Better Than Nothing” Privacy with Bloom Filters: To What Extent?

2. Privacy-enhanced searches using encrypted bloom filters;bellovin;IACR Cryptol ePrint Arch,2004

3. Xor Filters

4. All-purpose hashing;bender,2021

5. Project sonar forward DNS data,2022

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On the Security of Quotient Filters: Attacks and Potential Countermeasures;IEEE Transactions on Computers;2024-09

2. Supporting Dynamic Insertions in xor and Binary Fuse Filters With the Integrated xor/BIF-Bloom Filter;IEEE Transactions on Network and Service Management;2024-06

3. On the Privacy of Multi-Versioned Approximate Membership Check Filters;IEEE Transactions on Dependable and Secure Computing;2024

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