@inproceedings{148cfa8e451649338967659320cab6d8,
title = "BigCrypt for big data encryption",
abstract = "as 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.",
keywords = "Big Data, Cloud Computing, Cryptography, Hadoop, Public Key, Rijndael, RSA",
author = "\{Al Mamun\}, Abdullah and Khaled Salah and Somaya Al-Maadeed and Sheltami, \{Tarek R.\}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 4th International Conference on Software Defined Systems, SDS 2017 ; Conference date: 08-05-2017 Through 11-05-2017",
year = "2017",
month = jun,
day = "5",
doi = "10.1109/SDS.2017.7939147",
language = "British English",
series = "2017 4th International Conference on Software Defined Systems, SDS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "93--99",
booktitle = "2017 4th International Conference on Software Defined Systems, SDS 2017",
address = "United States",
}