TY - GEN
T1 - A metaphone based chaotic searchable encryption algorithm for border management
AU - Awad, Abir
AU - Lee, Brian
N1 - Publisher Copyright:
Copyright © 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.
PY - 2016
Y1 - 2016
N2 - In this paper, we consider a use case for national border control and management involving the assurance of privacy and protection of personally identifiable information (PII) in a shared multi-tenant environment, i.e. the cloud. A fuzzy searchable encryption scheme is applied on a watch list of names which are used as indexes for the identification files that are in their turn encrypted and stored on the cloud. Two propositions are described and tested in this paper. The first entails the application of a chaotic fuzzy searchable encryption scheme directly on the use case and its subsequent verification on a number of phonetics synonyms for each name. In the second version, a metaphone based chaotic fuzzy transformation method is used to perform a secure search and query. In this latter case, the fuzzy transformation is performed in two stages: the first stage is the application of the metaphone algorithm which maps all the words pronounced in the same way to a single code and the second stage is the application of the chaotic Local Sensitive Hashing (LSH) to the code words. In both the first and second propositions, amplification of the LSH is also performed which permits controlled fuzziness and ranking of the results. Extensive tests are performed and experimental results show that the proposed scheme can be used for secure searchable identification files and a privacy preserving scheme on the cloud.
AB - In this paper, we consider a use case for national border control and management involving the assurance of privacy and protection of personally identifiable information (PII) in a shared multi-tenant environment, i.e. the cloud. A fuzzy searchable encryption scheme is applied on a watch list of names which are used as indexes for the identification files that are in their turn encrypted and stored on the cloud. Two propositions are described and tested in this paper. The first entails the application of a chaotic fuzzy searchable encryption scheme directly on the use case and its subsequent verification on a number of phonetics synonyms for each name. In the second version, a metaphone based chaotic fuzzy transformation method is used to perform a secure search and query. In this latter case, the fuzzy transformation is performed in two stages: the first stage is the application of the metaphone algorithm which maps all the words pronounced in the same way to a single code and the second stage is the application of the chaotic Local Sensitive Hashing (LSH) to the code words. In both the first and second propositions, amplification of the LSH is also performed which permits controlled fuzziness and ranking of the results. Extensive tests are performed and experimental results show that the proposed scheme can be used for secure searchable identification files and a privacy preserving scheme on the cloud.
KW - Chaotic locality sensitive hashing
KW - Fuzzy search
KW - Metaphone
KW - Personal data
KW - Privacy
KW - Searchable encryption
UR - http://www.scopus.com/inward/record.url?scp=85005949845&partnerID=8YFLogxK
U2 - 10.5220/0005953503970402
DO - 10.5220/0005953503970402
M3 - Conference contribution
AN - SCOPUS:85005949845
T3 - ICETE 2016 - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications
SP - 397
EP - 402
BT - ICETE 2016 - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications
A2 - Callegari, Christian
A2 - van Sinderen, Marten
A2 - Cabello, Enrique
A2 - Samarati, Pierangela
A2 - Lorenz, Pascal
A2 - Obaidat, Mohammad S.
A2 - Sarigiannidis, Panagiotis
PB - SciTePress Digital Library
T2 - 13th International Conference on Security and Cryptography, SECRYPT 2016 - Part of the 13th International Joint Conference on e-Business and Telecommunications, ICETE 2016
Y2 - 26 July 2016 through 28 July 2016
ER -