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Jin Yang Liu

dblp:287/5086 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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.

Databases, data mining, and information retrieval
1 paper
Query processing and optimization · 77% Distributed and cloud data management · 23%
Network and information security
1 paper
Privacy and data protection · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Query processing and optimization › secure query processing
equi-join over encrypted data
0.612022
Equi-Joins over Encrypted Data for Series of Queries · ICDE 2022
Privacy and data protection › privacy-preserving query processing
encrypted query processing
0.612022
Equi-Joins over Encrypted Data for Series of Queries · ICDE 2022
Distributed and cloud data management
outsourced database
0.212022
Equi-Joins over Encrypted Data for Series of Queries · ICDE 2022

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

encryption scheme · 1.1
YearPublicationVenuePosition
2022 Equi-Joins over Encrypted Data for Series of Queries
abstract
Encryption provides a method to protect data out-sourced to a DBMS provider, e.g., in the cloud. However, performing database operations over encrypted data requires specialized encryption schemes that carefully balance security and performance. In this paper, we present a new encryption scheme that can efficiently perform equi-joins over encrypted data using only software and a single server with better security than the state-of-the-art. In particular, our encryption scheme reduces the leakage to equality of rows that match a selection criterion and only reveals the transitive closure of the union of the leakages of each query in a series of queries. Our encryption scheme is provable secure. We implemented our encryption scheme and evaluated it over a dataset from the TPC- H benchmark.
Masoumeh Shafieinejad, Suraj Gupta, Jin Yang Liu, Koray Karabina, Florian Kerschbaum
ICDE3