Search over Encrypted Data

Singaraju, Gautam; Beigi, Homayoon; Paar, Christof; Ellison, Carl M.; Subramanian, Nary; Vimercati, Sabrina De Capitani di; Livraga, Giovanni; Orso, Alessandro; Naccache, David; Brumley, David; Desmedt, Yvo; Adam, Nabil R.; Lü, Haixia; Vaidya, Jaideep; Shafiq, Basit; Jakimoski, Goce; Canteaut, Anne; Štiglić, Anton; Eddy, Wesley M.; Adams, C. L.; Stephens, M.F.C.; Gabidulin, E.M.; Boneh, Dan; Just, Mike; Ardagna, Claudio Agostino; Damiani, Ernesto; Fontaine, Caroline; England, Paul; Bagherzandi, Ali; Hore, Bijit; Mehrotra, Sharad; Preneel, Bart; Bussard, Laurent; Blakley, G. R.; Kabatiansky, Grigory; Pelosi, Gerardo; Hyun, Sangwon; Ning, Peng; Smith, Sean W.; Zhang, Wensheng; Sion, Radu; Ming, Li; Lou, Wenjing; Ren, Kui; Vauclair, Marc; Liu, Donggang; Frikken, Keith B.; Nita-Rotaru, Cristina; Curtmola, Reza; Dong, J.; Gu, Qijun; Clemens, H.; Sun, Kun; Papadimitratos, Panos; Hubaux, Jean-Pierre; Bauer, Friedrich L.; DeSoete, Marijke; Caddy, Tom; Yoshihama, Sachiko; Oh, Tae Hwan; Lim, Shinyoung; Choi, Young B.; Ryoo, Jungwoo; Park, Jung‐Min; Bian, Kaigui; Čapkun, Srđjan; Tibouchi, Mehdi; Housley, Russ; Bleumer, Gerrit; Fontain, Caroline; Sako, Kazue; Yang, Yi; Zhu, Sencun; Soete, Marijke De; Zurko, Mary Ellen; Simon, Richard T.; Helleseth, Tor; Cannière, Christophe De; Johns, Martin; Handschuh, Helena; Tilborg, H.C.A. van; Micciancio, Daniele; Joye, Marc; Olivier, Francis; Kaliski, Burt; Thomé, Emmanuel; Schoenmakers, Berry; Campisi, Patrizio; Maiorana, Emanuele; Neri, Alessandro; Dodis, Yevgeniy; Möller, Bodo; Biryukov, Alex; Kühn, Markus; Nguyen, Kim Thuat; Culnan, Mary J.; Schneier, Bruce; Kang, Brent Byung Hoon

doi:10.1007/978-1-4419-5906-5_914

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…Of course, so one approach incurs in huge communications and computations overhead and is completely inefficient. Searchable encryption (SE) [1] has been the most known approach to cope with the problem of searching over encrypted data stored in untrusted servers. SE is defined as the ability to identify and retrieve a set of objects from an encrypted collection that satisfy a query.…”

Section: Introductionmentioning

confidence: 99%

“…1) DO creates cryptographic keys { 1 , 2 , 3 } with security strength ; 2) Given a set of documents , DO extracts representative keywords in ; 3) DO encrypts with a symmetric cipher using key 1 ( 1 ( )); 4) DO creates a secure index from , using key 2 ( 2 ( )); 5) DO uploads 1 ( ) and 2 ( ) to the cloud; 6) DO gives authorization to some DUs to search over its data, using 3 . 7) DU generates trapdoors for a given query word in using 3 , 3 ( ); 8) DU queries the CSP using 3 ( ), to retrieve ′ documents containing .…”

Section: Introductionmentioning

confidence: 99%

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Attribute-Based Encryption Approach for Storage, Sharing and Retrieval of Encrypted Data in the Cloud

et al. 2020

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One of the most cost-effective services in cloud computing is storage, used by businesses and individuals to outsource their massive data to untrusted servers. Efforts have studied problems around this application scenario in different fronts: efficiency, flexibility, reliability, and security. In this paper we address the security concerns of cloud storage under the scenario where users encrypt-then-outsource data, share their outsourced data with other users, and the service provider can be queried for searching and retrieval of encrypted data. As main distinctive, we propose a security approach for storage, sharing and retrieval of encrypted data in the cloud fully constructed on the basis of attribute-based encryption (ABE) thus enabling access control mechanisms over both the encrypted data and also for the information retrieval task through search access control. Compared to related works, our approach considers efficient encryption at three different levels:) bulk encryption of data outsourced to the cloud,) keys management for access control over encrypted data by means of digital envelopes from attribute based encryption, and) novel construction for attribute based searchable encryption (ABSE). Our underlying ABE algorithms are carefully selected from the body of knowledge and novel constructions for ABSE are provided over the asymmetric setting (Type-III pairings) to support security levels of 128-bits or greater. Experimental results on benchmark data sets demonstrate the viability of our approach for practical realizations using Barreto-Naehrig curves.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Attribute-Based Encryption Approach for Storage, Sharing and Retrieval of Encrypted Data in the Cloud

et al. 2020

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“…Another approach is pre‐encryption, which encrypts users' information before it is uploaded to a cloud server . This approach is the most effective solution from the view point of information hiding from malicious administrators, if properly implemented and carried out.…”

Section: Introductionmentioning

confidence: 99%

Designs, analyses, and optimizations for attribute-shuffling obfuscation to protect information from malicious cloud administrators

Fujinoki

2015

Security Comm. Networks

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We developed an attribute-shuffling obfuscation for database applications in cloud environment and studied its potential in preventing information leaks to malicious administrators at cloud providers, who have unlimited and non-censored accesses to any local resources, possibly including the system security logs. The proposed obfuscation allows database management systems at cloud servers to perform fundamental query operations while cloud users' information is protected against leaks to malicious administrators. We studied the performance of the proposed obfuscation to find that the inflation of obfuscated tables at cloud servers and the increase in the network traffic load will be the major overhead. We developed algorithms that mitigate the inflation of obfuscated tables (using 'α' parameter) and the increase in the network traffic load (using the query constructor). The former achieved a linear relation between the obfuscated table size and the degree of obfuscation (how hard for malicious administrators to understand the meaning of users' information). The latter achieved that the network traffic load nearly converged to that of no obfuscation for busy systems. We conclude that the proposed attributeshuffling obfuscation will be feasible and efficient for busy and large database systems, while it adapts to database systems with diverse configurations.

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Towards a Risk-Based Approach to Achieving Data Confidentiality in Cloud Computing

Mehrotra

2014

Lecture Notes in Computer Science

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Search over Encrypted Data

Cited by 5 publications

References 3 publications

Attribute-Based Encryption Approach for Storage, Sharing and Retrieval of Encrypted Data in the Cloud

Attribute-Based Encryption Approach for Storage, Sharing and Retrieval of Encrypted Data in the Cloud

Designs, analyses, and optimizations for attribute-shuffling obfuscation to protect information from malicious cloud administrators

Towards a Risk-Based Approach to Achieving Data Confidentiality in Cloud Computing

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