Amiya R. Nayak
Artificial Intelligence · 2011–2019
A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #14,384 of 35,345 by trust here, #27,551 by citations
- Computational Theory and Mathematics — 12 citations into it
- Information Systems — 11 citations into it; #4,632 of 8,771 by trust here, #7,997 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
- Electrical and Electronic Engineering — 5 citations into it
Whom Amiya R. Nayak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Brent Waters
- Amit Sahai
- Craig Gentry
- Allison Bishop
- Pascal Paillier
- Anjan Bose
- Melissa Chase
- Dan Boneh
- Shucheng Yu
- Ronald Cramer
Who trusts Amiya R. Nayak overall
Papers from Amiya R. Nayak's perspective
Ordered by how strongly the researchers Amiya R. Nayak trusts endorse each paper. Same corpus, a different order for every researcher.
- Practical techniques for searches on encrypted data (Proceeding 2000 IEEE Symposium on Security and Privacy. S&P 2000)
- Attribute-based encryption for fine-grained access control of encrypted data (Conference on Computer and Communications Security)
- Fuzzy Identity-Based Encryption (International Conference on the Theory and Application of Cryptographic Techniques)
- Multi-authority Attribute Based Encryption (Theory of Cryptography Conference)
- Toward Hierarchical Identity-Based Encryption (International Conference on the Theory and Application of Cryptographic Techniques)
- Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
- A method for obtaining digital signatures and public-key cryptosystems
- Evaluating 2-DNF Formulas on Ciphertexts
- Design and Analysis of Practical Public-Key Encryption Schemes Secure against Adaptive Chosen Ciphertext Attack (SIAM journal on computing (Print))
- Searchable symmetric encryption: Improved definitions and efficient constructions (Conference on Computer and Communications Security)
Their papers
- DL‐IDS: a deep learning–based intrusion detection framework for securing IoT (2019) — 309 citations
- A Decentralized Security Framework for Data Aggregation and Access Control in Smart Grids (2013) — 171 citations
- DACC: Distributed Access Control in Clouds (2011) — 320 citations