Attribute-based encryption for fine-grained access control of encrypted data

By Vipul Goyal, Omkant Pandey, Amit Sahai, Brent Waters. Conference on Computer and Communications Security, 2006

5,829 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/422876e542daadefe3371091a65c5671185796e2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Brent Waters
2. Dan Boneh
3. Amit Sahai
4. Kui Ren
5. Allison Bishop
6. Wenjing Lou
7. Vinod Vaikuntanathan
8. Craig Gentry

Citations in the corpus

• Decentralizing Attribute-Based Encryption (2011, methodology): “Subsequently, Goyal, Pandey, Sahai, and Waters [ 30 ] formulated two complimentary forms of ABE: Ciphertext-Policy Attribute-Based Encryption (CP-ABE) and Key-Policy Attribute-Based Encryption (KP-ABE).”
• Attribute-Based Encryption with Partially Hidden Encryptor-Specified Access Structures (2008, background): “In the key-policy ABE schemes [12,18,19,15], ciphertexts are associated with sets of attributes and users’ secret keys are associated with access structures.”
• Attribute-based encryption for circuits (2013, methodology): “Our methodology departs significantly from the current line of work on attribute-based encryption [Goyal et al. 2006; Lewko et al. 2010] and instead builds upon the connection to garbled circuits developed in the context of bounded collusions [Stehlé and Steinfeld 2010; Gorbunov et al.”
• Security and Privacy in Smart Health: Efficient Policy-Hiding Attribute-Based Access Control (2018, background): “The first KP-ABE construction [9] was proposed based on monotonic access policies.”
• Secure attribute-based systems (2006, background): “Techniques from hierarchical identity-based cryptography (HIBE) [18,20,24] or advances in the cryptographic primitives [6] may help to alleviate the policy and management complexity issues discussed above.”
• Scalable and Secure Sharing of Personal Health Records in Cloud Computing Using Attribute-Based Encryption (2019, neutral): “In Goyal et al.’s seminal paper on ABE [11], data are encrypted under a set of attributes so that multiple users who possess proper keys can decrypt.”
• VABKS: Verifiable attribute-based keyword search over outsourced encrypted data (2014, methodology): “We instantiated ABKS, ABE as CP-ABKS, CP- ABE [3] for CP-ABKS, and KP-ABKS, KP-ABE [2] for KP-VABKS, respectively.”
• Securing Fog Computing for Internet of Things Applications: Challenges and Solutions (2018, background): “Currently, many attribute-based encryption schemes have been proposed [134], [135], which can be divided into”
• Bounded Ciphertext Policy Attribute Based Encryption (2008, methodology): “The performance of the decryption procedure can potentially be improved by using the techniques explained in [ 8 ].”
• HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning (2019, background): “We also note that assuming such trusted and independent agency is a common assumption in existing cryptosystems that have employed the TPA as the underlying infrastructure [7, 8, 21].”
• Provably secure ciphertext policy ABE (2007, methodology): “In the key policy variant (KP-ABE) of Goyal, Pandey, Sahai and Waters (GPSW) [10], every ciphertext is associated with a set of attributes, and every user secret key is associated with a threshold access structure on attributes.1 Decryp­tion is enabled if and only if the ciphertext attribute set ”
• Structured Encryption and Controlled Disclosure (2010, background): “Functional encryption [8] is a recent paradigm that generalizes work on a variety of problems including identity-based encryption [31, 6], attribute-based encryption [30, 22, 4], and predicate encryption [26, 32].”
• Candidate Indistinguishability Obfuscation and Functional Encryption for all Circuits (2013, background): “Functional Encryption started with the notion of attributebased encryption (ABE) [4], [5] and evolved over time [6], [7].”
• Privacy-Preserving Data Processing with Flexible Access Control (2020, methodology): “The KP-ABE is multiplicative homomorphic if the same attributes are employed to encrypt two pieces of raw data.”