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AuthorAl Mamun, Abdullah
AuthorSalah, Khaled
AuthorAl-maadeed, Somaya
AuthorSheltami, Tarek R.
Available date2020-08-27T10:08:52Z
Publication Date2017
Publication Name2017 4th International Conference on Software Defined Systems, SDS 2017
ResourceScopus
URIhttp://dx.doi.org/10.1109/SDS.2017.7939147
URIhttp://hdl.handle.net/10576/15779
Abstractas data size is growing up, cloud storage is becoming more familiar to store a significant amount of private information. Government and private organizations require transferring plenty of business files from one end to another. However, we will lose privacy if we exchange information without data encryption and communication mechanism security. To protect data from hacking, we can use Asymmetric encryption technique, but it has a key exchange problem. Although Asymmetric key encryption deals with the limitations of Symmetric key encryption it can only encrypt limited size of data which is not feasible for a large amount of data files. In this paper, we propose a probabilistic approach to Pretty Good Privacy technique for encrypting large-size data, named as "BigCrypt" where both Symmetric and Asymmetric key encryption are used. Our goal is to achieve zero tolerance security on a significant amount of data encryption. We have experimentally evaluated our technique under three different platforms.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectBig Data
Cloud Computing
Cryptography
Hadoop
Public Key
Rijndael
RSA
TitleBigCrypt for big data encryption
TypeConference Paper
Pagination93-99


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