research-article

A Secure Search Engine for the Personal Cloud

Authors:

Saliha Lallali,

Nicolas Anciaux,

Iulian Sandu Popa,

Philippe PucheralAuthors Info & Claims

SIGMOD '15: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data

Pages 1445 - 1450

https://doi.org/10.1145/2723372.2735376

Published: 27 May 2015 Publication History

Abstract

The emerging Personal Could paradigm holds the promise of a Privacy-by-Design storage and computing platform where personal data remain under the individual's control while being shared by valuable applications. However, leaving the data management control to user's hands pushes the security issues to the user's platform. This demonstration presents a Secure Personal Cloud Platform relying on a query and access control engine embedded in a tamper resistant hardware device connected to the user's platform. The main difficulty lies in the design of an inverted document index and its related search and update algorithms capable of tackling the strong hardware constraints of these devices. We have implemented our engine on a real tamper resistant hardware device and present its capacity to regulate the access to a personal dataspace. The objective of this demonstration is to show (1) that secure hardware is a key enabler of the Personal Cloud paradigm and (2) that new embedded indexing and querying techniques can tackle the hardware constraints of tamper-resistant devices and provide scalable solutions for the Personal Cloud.

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Cited By

Nellutla RMohammed M(2020)Survey: A Comparative Study of Different Security Issues in Big DataEmerging Research in Data Engineering Systems and Computer Communications10.1007/978-981-15-0135-7_24(247-257)Online publication date: 11-Feb-2020
https://doi.org/10.1007/978-981-15-0135-7_24
Mathur AGupta C(2019)Big Data Challenges and Issues: A ReviewProceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2018)10.1007/978-3-030-24643-3_53(446-452)Online publication date: 1-Aug-2019
https://doi.org/10.1007/978-3-030-24643-3_53
Michel ANguyen BPucheral P(2018)The Case for Personalized Anonymization of Database Query ResultsData Management Technologies and Applications10.1007/978-3-319-94809-6_13(261-285)Online publication date: 30-Jun-2018
https://doi.org/10.1007/978-3-319-94809-6_13
Show More Cited By

Index Terms

A Secure Search Engine for the Personal Cloud
1. Information systems
  1. Information retrieval
    1. Document representation
  2. Information storage systems
    1. Record storage systems
      1. Record storage alternatives

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Published In

cover image ACM Conferences

SIGMOD '15: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data

May 2015

2110 pages

ISBN:9781450327589

DOI:10.1145/2723372

General Chair:
Timos Sellis
RMIT University, Australia
,
Program Chairs:
Susan B. Davidson
University of Pennsylvania, USA
,
Zack Ives
University of Pennsylvania, USA

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMOD: ACM Special Interest Group on Management of Data

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 May 2015

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ANR France

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SIGMOD/PODS'15

Sponsor:

SIGMOD

SIGMOD/PODS'15: International Conference on Management of Data

May 31 - June 4, 2015

Victoria, Melbourne, Australia

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SIGMOD '15 Paper Acceptance Rate 106 of 415 submissions, 26%;

Overall Acceptance Rate 785 of 4,003 submissions, 20%

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Cited By

Nellutla RMohammed M(2020)Survey: A Comparative Study of Different Security Issues in Big DataEmerging Research in Data Engineering Systems and Computer Communications10.1007/978-981-15-0135-7_24(247-257)Online publication date: 11-Feb-2020
https://doi.org/10.1007/978-981-15-0135-7_24
Mathur AGupta C(2019)Big Data Challenges and Issues: A ReviewProceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2018)10.1007/978-3-030-24643-3_53(446-452)Online publication date: 1-Aug-2019
https://doi.org/10.1007/978-3-030-24643-3_53
Michel ANguyen BPucheral P(2018)The Case for Personalized Anonymization of Database Query ResultsData Management Technologies and Applications10.1007/978-3-319-94809-6_13(261-285)Online publication date: 30-Jun-2018
https://doi.org/10.1007/978-3-319-94809-6_13
(2017)Supporting secure keyword search in the personal cloudInformation Systems10.1016/j.is.2017.09.00372:C(1-26)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1016/j.is.2017.09.003
Nelson BOlovsson T(2016)Security and privacy for big data: A systematic literature review2016 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2016.7841037(3693-3702)Online publication date: Dec-2016
https://doi.org/10.1109/BigData.2016.7841037
Anciaux NGuillotton SBouganim LIlarri SKamgang ANgami ANouedoui CPucheral PTchuente M(2016)Managing Personal Health Records in an Infrastructure-Weak Environmente-Infrastructure and e-Services10.1007/978-3-319-43696-8_18(178-191)Online publication date: 14-Oct-2016
https://doi.org/10.1007/978-3-319-43696-8_18
Anciaux NLallali SPopa IPucheral P(2015)A scalable search engine for mass storage smart objectsProceedings of the VLDB Endowment10.14778/2777598.27776008:9(910-921)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.14778/2777598.2777600

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