Josh Benaloh
Artificial Intelligence · 1987–2009
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it; #20,080 of 35,345 by trust here, #24,417 by citations
Whom Josh Benaloh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Craig Gentry
- Dan Boneh
- Alice Silverberg
- Michel Abdalla
- Johannes Blömer
- Ran Canetti
- Amit Sahai
- Paul Feldman
- Michael Ben-Or
- Mihir Bellare
Who trusts Josh Benaloh overall
- Niv Gilboa
- Pascal Paillier
- Dan Boneh
- Shafi Goldwasser
- Tomas Sander
- George Danezis
- Jingguo Bi
- Luca Melis
- Emmanuel Bresson
- Michael R. Clarkson
Papers from Josh Benaloh's perspective
Ordered by how strongly the researchers Josh Benaloh trusts endorse each paper. Same corpus, a different order for every researcher.
- Public Key Encryption with Keyword Search (International Conference on the Theory and Application of Cryptographic Techniques)
- Hierarchical ID-Based Cryptography (International Conference on the Theory and Application of Cryptology and Information Security)
- Chosen-Ciphertext Security from Identity-Based Encryption (SIAM journal on computing (Print))
- Searchable Encryption Revisited: Consistency Properties, Relation to Anonymous IBE, and Extensions (Journal of Cryptology)
- Fuzzy Identity-Based Encryption (International Conference on the Theory and Application of Cryptographic Techniques)
- Attribute-based encryption for fine-grained access control of encrypted data (Conference on Computer and Communications Security)
- Controlling Access to Published Data Using Cryptography (Very Large Data Bases Conference)
- Random oracles are practical: a paradigm for designing efficient protocols
- Over-encryption: Management of Access Control Evolution on Outsourced Data (Very Large Data Bases Conference)
- Practical techniques for searches on encrypted data (Proceeding 2000 IEEE Symposium on Security and Privacy. S&P 2000)