A Feasible Quantum Protocol for Private Set Intersection Cardinality
نویسندگان
چکیده
منابع مشابه
Scalable Private Set Intersection Cardinality for Capture-Recapture with Multiple Private Datasets
In many scenarios it is beneficial to share private data among parties without mutual trust. One such scenario is the use of capture-recapture (CR) techniques to estimate population sizes from multiple private data sources of observed individuals. With Private Set Intersection Cardinality (PSIC) techniques, we can use CR with datasets from multiple parties while ensuring the privacy of the data...
متن کاملAn efficient quantum scheme for Private Set Intersection
Private Set Intersection allows a client to privately compute set intersection with the collaboration of the server, which is one of the most fundamental and key problems within the multiparty collaborative computation of protecting the privacy of the parties. In this paper, we first present a cheat-sensitive quantum scheme for Private Set Intersection. Compared with classical schemes, our sche...
متن کاملMulti Party Distributed Private Matching, Set Disjointness and Cardinality Set Intersection with Information Theoretic Security
In this paper, we focus on the specific problems of Private Matching, Set Disjointness and Cardinality Set Intersection in information theoretic settings. Specifically, we give perfectly secure protocols for the above problems in n party settings, tolerating a computationally unbounded semi-honest adversary, who can passively corrupt at most t < n/2 parties. To the best of our knowledge, these ...
متن کاملMulti Party Distributed Private Matching, Set Disjointness and Cardinality of Set Intersection with Information Theoretic Security
In this paper, we focus on the specific problems of Private Matching, Set Disjointness and Cardinality of Set Intersection in information theoretic settings. Specifically, we give perfectly secure protocols for the above problems in n party settings, tolerating a computationally unbounded semi-honest adversary, who can passively corrupt at most t < n/2 parties. To the best of our knowledge, the...
متن کاملPrivate Two-Party Set Intersection Protocol in Rational Model
Many data mining algorithms use privacy preserving set intersection operations. Private set operations have considered semi-honest and malicious adversarial models in cryptographic settings. Protocols in semi-honest model, requiring light computations, provide weak security. Protocols in malicious model guarantee strong security at the price of expensive computations like homomorphic encryption...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2919119