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Xiaohua Ye

dblp:292/4656 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Cryptographic primitives and cryptanalysis · 46% Privacy and data protection · 30% Systems and software security · 23%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Systems and software security › database security
encrypted database
0.712023
Frequency-revealing attacks against Frequency-hiding Order-preserving Encryption · Proc. VLDB Endow. 2023
Cryptographic primitives and cryptanalysis › encryption › property-preserving encryption › order-preserving encryption
frequency-hiding order-preserving encryption
0.712023
Frequency-revealing attacks against Frequency-hiding Order-preserving Encryption · Proc. VLDB Endow. 2023
Privacy and data protection
inference attack
0.712023
Frequency-revealing attacks against Frequency-hiding Order-preserving Encryption · Proc. VLDB Endow. 2023
Cryptographic primitives and cryptanalysis › encryption › property-preserving encryption
order-preserving encryption
0.712023
Frequency-revealing attacks against Frequency-hiding Order-preserving Encryption · Proc. VLDB Endow. 2023

Methods — techniques the papers use, named apart from their topics

inference attack · 0.7ciphertext-only attack · 0.7
YearPublicationVenuePosition
2023 Frequency-revealing attacks against Frequency-hiding Order-preserving Encryption
abstract
Order-preserving encryption (OPE) allows efficient comparison operations over encrypted data and thus is popular in encrypted databases. However, most existing OPE schemes are vulnerable to inference attacks as they leak plaintext frequency. To this end, some frequency-hiding order-preserving encryption (FH-OPE) schemes are proposed and claim to prevent the leakage of frequency. FH-OPE schemes are considered an important step towards mitigating inference attacks. Unfortunately, there are still vulnerabilities in all existing FH-OPE schemes. In this work, we revisit the security of all existing FH-OPE schemes. We are the first to demonstrate that plaintext frequency hidden by them is recoverable. We present three ciphertext-only attacks named frequency-revealing attacks to recover plaintext frequency. We evaluate our attacks in three real-world datasets. They recover over 90% of plaintext frequency hidden by any existing FH-OPE scheme. With frequency revealed, we also show the potentiality to apply inference attacks on existing FH-OPE schemes. Our findings highlight the limitations of current FH-OPE schemes. Our attacks demonstrate that achieving frequency-hiding requires addressing the leakages of both non-uniform ciphertext distribution and insertion orders of ciphertexts, even though the leakage of insertion orders is always ignored in OPE.
Xinle Cao, Jian Liu 0012, Yongsheng Shen, Xiaohua Ye, Kui Ren 0001
Proc. VLDB Endow.4