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Cloud-Assisted Privacy Protection for Data Retrieval Against Keyword Guessing Attacks

2020
Machine learning is more closely linked to data privacy and has obtained rapid development in recent years. As for data privacy, searchable encryption (SE) is widely used as a ciphertext search technology, protecting the privacy of users. However, existing schemes usually support single keyword search, so the remote cloud server (CS) may return some ...
Zhenwei Chen   +5 more
openaire   +1 more source

Designated-Senders Public-Key Searchable Encryption Secure against Keyword Guessing Attacks

2017 Fifth International Symposium on Computing and Networking (CANDAR), 2017
To achieve keyword search in secure cloud storage, a public-key encryption with keyword search (PEKS) has been proposed. However, the PEKS is inherently vulnerable to the Keyword Guessing Attack (KGA): Using the public key, anyone including the server can compute the ciphertext of any keyword.
Takanori Saito, Toru Nakanishi 0001
openaire   +1 more source

Identity-Based Group Encryption With Keyword Search Against Keyword Guessing Attack

IEEE Transactions on Information Forensics and Security
Wei Wang 0088   +4 more
openaire   +1 more source

Efficient Revocable Attribute-Based Keyword Search Against Keyword Guessing Attack

2024 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)
Chen Zhu   +4 more
openaire   +1 more source

Isoga: An Isogeny-Based Quantum-Resist Searchable Encryption Scheme Against Keyword Guessing Attacks

IEEE Systems Journal, 2023
Qing Fan   +4 more
openaire   +1 more source

KASE-AKA: Key-aggregate keyword searchable encryption against keyword guessing attack and authorization abuse

Computer Standards & Interfaces
Caihui Lan   +4 more
openaire   +1 more source

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