CYCLOSA: Decentralizing Private Web Search through SGX-Based Browser Extensions

Goltzsche, David; Pires, Rafael; Mokhtar, Sonia Ben; Bouchenak, Sara; Boutet, Antoine; Felber, Pascal; Kapitza, Rüdiger; Pasin, Marcelo; Schiavoni, Valerio

doi:10.1109/icdcs.2018.00053

Cited by 23 publications

(10 citation statements)

References 29 publications

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“…Several works have been proposed, in the literature, to preserve privacy and minimize the amount of data collected by service providers while providing services tailored to user proiles [3,4,11,13,19,20], [16] and [17].…”

Section: Related Workmentioning

confidence: 99%

Privacy preserving cooperative computation for personalized web search applications

Kaaniche

Masmoudi

Znina

et al. 2020

Proceedings of the 35th Annual ACM Symposium on Applied Computing

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With the emergence of connected objects and the development of Artiicial Intelligence (AI) mechanisms and algorithms, personalized applications are gaining an expanding interest, providing services tailored to each single user needs and expectations. They mainly rely on the massive collection of personal data generated by a large number of applications hosted from diferent connected devices. In this paper, we present CoWSA, a privacy preserving Cooperative computation framework for personalized Web Search peripheral Applications. The proposed framework is multi-fold. First, it provides the empowerment to end-users to control the disclosed personal data to third parties, while leveraging the trade-of between privacy and utility. Second, as a decentralized solution, CoWSA mitigates single points of failures, while ensuring the security of queries, the anonymity of submitting users, and the incentive of contributing nodes. Third, CoWSA is scalable as it provides acceptable computation and communication costs compared to most closely related schemes. CCS CONCEPTS• Security and privacy → Security services; Privacy-preserving protocols; • Computer systems organization → Peer-to-peer architectures;

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Section: Related Workmentioning

confidence: 99%

Privacy preserving cooperative computation for personalized web search applications

Kaaniche

Masmoudi

Znina

et al. 2020

Proceedings of the 35th Annual ACM Symposium on Applied Computing

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“…Our work builds on the SCONE framework. Intel SGX has become available in clouds [36,49], unleashing a plethora of services to be ported, including Web search [72], actor framework [76], storage [15,52], leases [85], monitoring and profilers [14,51], software update [70], FaaS [88], networking [86,87], and data analytics systems [57,77,100].…”

Section: Related Workmentioning

confidence: 99%

secureTF

Quoc

Gregor

Arnautov

et al. 2020

Proceedings of the 21st International Middleware Conference

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“…In such case, users are responsible for using appropriate proxies that can conceal the origin of the request. One approach to hide the identities is by using peer-to-peer relay networks backed by enclaves [33]. Also, it is a requirement to only communicate with the cloud storage using encrypted connections.…”

Section: ) a Note On Revocationmentioning

confidence: 99%

Anonymous and Confidential File Sharing over Untrusted Clouds

Contiu

Vaucher

Pires³

et al. 2019

2019 38th Symposium on Reliable Distributed Systems (SRDS)

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Using public cloud services for storing and sharing confidential data requires end users to cryptographically protect both the data and the access to the data. In some cases, the identity of end users needs to remain confidential against the cloud provider and fellow users accessing the data. As such, the underlying cryptographic access control mechanism needs to ensure the anonymity of both data producers and consumers.We introduce A-SKY, a cryptographic access control extension capable of providing confidentiality and anonymity guarantees, all while efficiently scaling to large organizations. A-SKY leverages trusted execution environments (TEEs) to address the impracticality of anonymous broadcast encryption (ANOBE) schemes, achieving faster execution times and shorter ciphertexts. The innovative design of A-SKY limits the usage of the TEE to the narrow set of data producing operations, and thus optimizes the dominant data consumption actions by not requiring a TEE. Furthermore, we propose a scalable implementation for A-SKY leveraging micro-services that preserves strong security guarantees while being able to efficiently manage realistic large user bases. Results highlight that the A-SKY cryptographic scheme is 3 orders of magnitude better than state of the art ANOBE, and an end-to-end system encapsulating A-SKY can elastically scale to support groups of 10 000 users while maintaining processing costs below 1 second.

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CYCLOSA: Decentralizing Private Web Search through SGX-Based Browser Extensions

Cited by 23 publications

References 29 publications

Privacy preserving cooperative computation for personalized web search applications

Privacy preserving cooperative computation for personalized web search applications

secureTF

Anonymous and Confidential File Sharing over Untrusted Clouds

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