A survey of homomorphic encryption for outsourced big data
With traditional data storage solutions becoming too expensive and cumbersome to support Big Data processing, enterprises are now starting to outsource their data requirements to third parties, such as cloud service providers. However, this outsourced initiative introduces a number of security and p...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Korea Society of Internet Information
2016
|
| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/29097/1/A%20survey%20of%20homomorphic%20encryption%20for%20outsourced%20big%20data%20ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/29097/2/A%20survey%20of%20homomorphic%20encryption%20for%20outsourced%20big%20data%20FULL%20TEXT.pdf |
| _version_ | 1796910728934850560 |
|---|---|
| author | Tan, Soo Fun Azman Samsudin |
| author_facet | Tan, Soo Fun Azman Samsudin |
| author_sort | Tan, Soo Fun |
| collection | UMS |
| description | With traditional data storage solutions becoming too expensive and cumbersome to support Big Data processing, enterprises are now starting to outsource their data requirements to third parties, such as cloud service providers. However, this outsourced initiative introduces a number of security and privacy concerns. In this paper, homomorphic encryption is suggested as a mechanism to protect the confidentiality and privacy of outsourced data, while at the same time allowing third parties to perform computation on encrypted data. This paper also discusses the challenges of Big Data processing protection and highlights its differences from traditional data protection. Existing works on homomorphic encryption are technically reviewed and compared in terms of their encryption scheme, homomorphism classification, algorithm design, noise management, and security assumption. Finally, this paper discusses the current implementation, challenges, and future direction towards a practical homomorphic encryption scheme for securing outsourced Big Data computation. |
| first_indexed | 2024-03-06T03:08:35Z |
| format | Article |
| id | ums.eprints-29097 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:08:35Z |
| publishDate | 2016 |
| publisher | Korea Society of Internet Information |
| record_format | dspace |
| spelling | ums.eprints-290972021-09-28T06:32:38Z https://eprints.ums.edu.my/id/eprint/29097/ A survey of homomorphic encryption for outsourced big data Tan, Soo Fun Azman Samsudin QA76.75-76.765 Computer software With traditional data storage solutions becoming too expensive and cumbersome to support Big Data processing, enterprises are now starting to outsource their data requirements to third parties, such as cloud service providers. However, this outsourced initiative introduces a number of security and privacy concerns. In this paper, homomorphic encryption is suggested as a mechanism to protect the confidentiality and privacy of outsourced data, while at the same time allowing third parties to perform computation on encrypted data. This paper also discusses the challenges of Big Data processing protection and highlights its differences from traditional data protection. Existing works on homomorphic encryption are technically reviewed and compared in terms of their encryption scheme, homomorphism classification, algorithm design, noise management, and security assumption. Finally, this paper discusses the current implementation, challenges, and future direction towards a practical homomorphic encryption scheme for securing outsourced Big Data computation. Korea Society of Internet Information 2016 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/29097/1/A%20survey%20of%20homomorphic%20encryption%20for%20outsourced%20big%20data%20ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/29097/2/A%20survey%20of%20homomorphic%20encryption%20for%20outsourced%20big%20data%20FULL%20TEXT.pdf Tan, Soo Fun and Azman Samsudin (2016) A survey of homomorphic encryption for outsourced big data. KSII Transaction on Internet and Information Systems, 10. pp. 3826-3851. ISSN 1976-7277 http://www.itiis.org/digital-library/manuscript/1434 http://dx.doi.org/10.3837/tiis.2016.08.022 http://dx.doi.org/10.3837/tiis.2016.08.022 |
| spellingShingle | QA76.75-76.765 Computer software Tan, Soo Fun Azman Samsudin A survey of homomorphic encryption for outsourced big data |
| title | A survey of homomorphic encryption for outsourced big data |
| title_full | A survey of homomorphic encryption for outsourced big data |
| title_fullStr | A survey of homomorphic encryption for outsourced big data |
| title_full_unstemmed | A survey of homomorphic encryption for outsourced big data |
| title_short | A survey of homomorphic encryption for outsourced big data |
| title_sort | survey of homomorphic encryption for outsourced big data |
| topic | QA76.75-76.765 Computer software |
| url | https://eprints.ums.edu.my/id/eprint/29097/1/A%20survey%20of%20homomorphic%20encryption%20for%20outsourced%20big%20data%20ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/29097/2/A%20survey%20of%20homomorphic%20encryption%20for%20outsourced%20big%20data%20FULL%20TEXT.pdf |
| work_keys_str_mv | AT tansoofun asurveyofhomomorphicencryptionforoutsourcedbigdata AT azmansamsudin asurveyofhomomorphicencryptionforoutsourcedbigdata AT tansoofun surveyofhomomorphicencryptionforoutsourcedbigdata AT azmansamsudin surveyofhomomorphicencryptionforoutsourcedbigdata |