Cryptographic Cloud Storage
By Seny Kamara, Kristin E. Lauter. Financial Cryptography Workshops, 2010
1,484 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/df43bcac354e6626419a21cafc6908a8a2b63029
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Citations in the corpus
- Privacy-preserving multi-keyword ranked search over encrypted cloud data (2011, background): “Traditional single keyword searchable encryption schemes [5]–[13], [22] usually build an encrypted searchable index such that its content is hidden to the server unless it is given appropriate trapdoors generated via secret key(s) [2].”
- Structured Encryption and Controlled Disclosure (2010, background): “Giving clients the means to encrypt their data without losing the ability to efficiently query and retrieve it provides obvious benefits to the client but also frees the cloud provider from many legal exposures (see [2, 24, 34] for discussion of these issues).”
- DACC: Distributed Access Control in Clouds (2011, background): “Efficient and secure keyword searches are required in clouds, which maintain large amounts of sensitive data [14], [15].”
- Access Pattern disclosure on Searchable Encryption: Ramification, Attack and Mitigation (2012, background): “The need for such protocols are also recognized by researchers from major IT companies such as Microsoft [14].”
- Cloud Computing Security: From Single to Multi-clouds (2012, methodology): “An example of IaaS is the Amazon web service [25].”
- Highly-Scalable Searchable Symmetric Encryption with Support for Boolean Queries (2013, background): “Our protocols can also be applied to the multi-client setting [7,17,18] where a data owner outsources its encrypted data to an external server and enables other parties to perform queries on the encrypted data by providing them with search tokens for specific queries.”
- Encrypted data processing with Homomorphic Re-Encryption (2017, background): “A promising solution to protect data privacy in the cloud is to store and process data in an encrypted form [17, 31, 37].”
- Privacy preserving EHR system using attribute-based infrastructure (2010, methodology): “Recently, the use of attribute-based cryptography to provide secure cloud storage was also considered in [ 9 ].”
- Achieving usable and privacy-assured similarity search over outsourced cloud data (2012, background): “by both individuals and enterprises that need to be stored and searched is rapidly increasing [1].”
- The Melbourne Shuffle: Improving Oblivious Storage in the Cloud (2014, background): “, see [15]), whereby users outsource data to external servers that manage and provide access to their data.”
- Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data (2014, background): “Traditional single keyword searchable encryption schemes [7], [8], [9], [10], [11], [12], [13], [14], [15], [25], [26] usually build an encrypted searchable index such that its content is hidden to the server unless it is given appropriate trapdoors generated via secret key(s) [4].”
- Token-Based Cloud Computing Secure Outsourcing of Data and Arbitrary Computations with Lower Latency (2010, background): “, private search of a keyword xi using searchable encryption [18]), we consider the general case of arbitrary functions f .”
- Enabling Security in Cloud Storage SLAs with CloudProof (2011, background): “It cannot come after A because the chained hash of C will have to depend on the chain hash of A. Due to the client-supplied randomness and hardness assumptions on the hash function (random oracle), the cloud can compute the chain hash for A only when he gets the A request which happens after the C…”