2017Unpublished venueRequires access

BigCrypt for big data encryption

Abdullah Al Mamun, Khaled Salah, Somaya Al-Máadeed, Tarek Sheltami

Open publisher page 12 citations

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.

About this research paper

What this paper is about

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.

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OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available 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.

Key concepts: Computer science, Encryption, Big data, Computer security, Data mining

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