Results 11 to 20 of about 2,427 (262)
(Inner-Product) Functional Encryption with Updatable Ciphertexts [PDF]
Journal of Cryptology, 2023 AbstractWe propose a novel variant of functional encryption which supports ciphertext updates, dubbed ciphertext-updatable functional encryption. Such a feature further broadens the practical applicability of the functional encryption paradigm and allows for fine-grained access control even after a ciphertext is generated.
Valerio Cini +4 more
core +7 more sources
Efficient Lp Distance Computation Using Function-Hiding Inner Product Encryption for Privacy-Preserving Anomaly Detection [PDF]
Sensors, 2023 In Internet of Things (IoT) systems in which a large number of IoT devices are connected to each other and to third-party servers, it is crucial to verify whether each device operates appropriately.
Dong-Hyeon Ryu +3 more
doaj +2 more sources
Efficient and Privacy-Preserving Energy Trading on Blockchain Using Dual Binary Encoding for Inner Product Encryption [PDF]
Sensors, 2021 The rapidly increasing expansion of distributed energy resources (DER), such as renewable energy systems and energy storage systems into the electric power system and the integration of advanced information and communication technologies enable DER ...
Turabek Gaybullaev +3 more
doaj +2 more sources
Decentralizing Inner-Product Functional Encryption [PDF]
, 2019 Multi-client functional encryption (MCFE) is a more flexible variant of Functional ENcryption whose functional decryption involves multiple ciphertexts from different parties. Each party holds a different secret key and can independently and adaptively be corrupted by the adversary.
Michel Abdalla +3 more
openaire +7 more sources
Function-Hiding Inner Product Encryption [PDF]
, 2015 We extend the reach of functional encryption schemes that are provably secure under simple assumptions against unbounded collusion to include function-hiding inner product schemes. Our scheme is a private key functional encryption scheme, where ciphertexts correspond to vectors $$\vec {x}$$, secret keys correspond to vectors $$\vec {y}$$, and a ...
Allison Bishop +2 more
core +5 more sources
Traceable Inner Product Functional Encryption [PDF]
, 2020 Functional Encryption (FE) has been widely studied in the last decade, as it provides a very useful tool for restricted access to sensitive data: from a ciphertext, it allows specific users to learn a function of the underlying plaintext. In practice, many users may be interested in the same function on the data, say the mean value of the inputs, for ...
Do, Xuan Thanh +2 more
openaire +3 more sources
FedGraphHE: A privacy-preserving federated graph neural network framework with dynamic homomorphic encryption and robust aggregation. [PDF]
PLoS ONEFederated learning (FL) enables collaborative model training across distributed intelligent devices while preserving data privacy. In smart healthcare networks, medical institutions can jointly learn from distributed patient data using graph neural ...
Aocheng Zuo +5 more
doaj +2 more sources
Practical Predicate Encryption for Inner Product [PDF]
Proceedings of the 17th International Joint Conference on e-Business and Telecommunications, 2020 Inner product encryption is a powerful cryptographic primitive, where a private key and a ciphertext are both associated with a predicate vector and an attribute vector, respectively.
Yi-Fan Tseng, Zi-Yuan Liu, Raylin Tso
openaire +3 more sources
Decentralized Multi-Client Functional Encryption for Inner Product [PDF]
, 2018 We consider a situation where multiple parties, owning data that have to be frequently updated, agree to share weighted sums of these data with some aggregator, but where they do not wish to reveal their individual data, and do not trust each other. We combine technique from Private Stream Aggregation (PSA) and Functional Encryption (FE), to introduce ...
Chotard, Jérémy +4 more
openaire +5 more sources
The relation and transformation between hierarchical inner product encryption and spatial encryption [PDF]
Designs, Codes and Cryptography, 2012 Hierarchial inner product encryption (HIPE) and spatial encryption (SE) are two particular instantiations of functional encryption. In HIPE, a set of hierarchial key vectors \((\vec{v}_1, \dots, \vec{v}_r)\) can be used to obtain the plaintext \(m\) with index vecors \((\vec{x}_1, \dots \vec{x}_h)\) from a corresponding ciphertet if and only if \(r ...
Jie Chen 0021 +3 more
openaire +6 more sources