A new solution of data security accessing for Hadoop based on CP-ABE

Zhou, Huixiang; Wen, Qiaoyan

doi:10.1109/icsess.2014.6933621

Cited by 12 publications

(7 citation statements)

References 5 publications

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“…Information protection is of more interest and importance to all within the world of technology now, whether you are a smartphone or a computer user, this is why information security remains of the common essential in our daily experience, and in the IT technology areas [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Information security research contains many ideas including issues that every IT specialist must master or possess amazing basics of experience and knowledge of information security, they are just a few essentials for all those affected in the IT sector.…”

Section: Security Issuesmentioning

confidence: 99%

“…Eventually the RSA private key is secured using IDEA (international data encryption algorithm). Zhou et al [9] They present CP-ABE (Cipher text policy attribute based encryption) scheme for access control instead of the traditional schemes like PKI, which requires all relevant customer data to be sent to the resource provider, thus destroying the privacy of the user, and takes more bandwidth and overhead processing. Jam et al [10] point out that currently, the core technology of cloud computing are services security and data privacy.…”

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confidence: 99%

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An approach for enhancing data confidentiality in Hadoop

Kareem

Yousif²,

Abdalwahid

2020

IJEECS

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<p class="Abstract">The amount of data processed and stored in the cloud is growing dramatically. The traditional storage devices at both hardware and software levels cannot meet the requirement of the cloud. This fact motivates the need for a platform which can handle this problem. Hadoop is a deployed platform proposed to overcome this big data problem which often uses MapReduce architecture to process vast amounts of data of the cloud system. Hadoop has no strategy to assure the safety and confidentiality of the files saved inside the Hadoop distributed File system(HDFS). In the cloud, the protection of sensitive data is a critical issue in which data encryption schemes plays avital rule. This research proposes a hybrid system between two well-known asymmetric key cryptosystems (RSA, and Paillier) to encrypt the files stored in HDFS. Thus before saving data in HDFS, the proposed cryptosystem is utilized for encrypting the data. Each user of the cloud might upload files in two ways, non-safe or secure. The hybrid system shows higher computational complexity and less latency in comparison to the RSA cryptosystem alone.</p>

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Section: Security Issuesmentioning

confidence: 99%

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confidence: 99%

An approach for enhancing data confidentiality in Hadoop

Kareem

Yousif²,

Abdalwahid

2020

IJEECS

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“…Eventually, the results moved to the output folder of HDFS (Dean & Ghemawat, 2008). MapReduce in Hadoop is an application software designed for processing huge volumes of data sets over machine set (Zhou & Wen, 2014). MapReduce is the core scheme used by the Hadoop system for spreading a bunch of work.…”

Section: Big Data and Hadoopmentioning

confidence: 99%

“…Eventually, the RSA private key is secured using the IDEA (International Data Encryption Algorithm). Huixiang Zhou et al (Zhou & Wen, 2014) They present CP-ABE (Ciphertext policy attribute-based encryption) scheme for access control instead of the traditional schemes like PKI, which requires all relevant customer data to be sent to the resource provider, thus destroying the privacy of the user, and takes more bandwidth and overhead processing. Masoumeh Rezaei Jam et al (Jam, Khanli, Akbari & Javan, 2014 ) point out that currently, the core technology of cloud computing are services security and data privacy.…”

Section: Introductionmentioning

confidence: 99%

Enhancing approach for information security in Hadoop

Awasthi

2020

UESIT

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Hadoop, is one of the ongoing patterns in innovation which is utilized as a structure for the distributed storage, is an open-source appropriated figuring structure actualized in Java and comprises two modules that are MapReduce and Hadoop Distributed File System (HDFS). The MapReduce is intended for handling with enormous informational collections, it enables the clients to utilize a huge number of item machines in parallel adequately, by just characterizing guides and lessening capacities, the client can prepare huge amounts of information, HDFS is for putting away information on appropriated bunches of machines. Hadoop is normally utilized in a huge bunch or an open cloud administration, for example, Yahoo!, Facebook, Twitter, and Amazon. The versatility of Hadoop has been appeared by the notoriety of these applications, yet it is structured without security for putting away information. Using the Hadoop package, a proposed secure cloud computing system has been designed, so Hadoop would use the area to establish and enhance the security for saving and managing user data. Apache had also produced a software tool termed Hadoop to overcome this big data problem which often uses MapReduce architecture to process vast amounts of data. Hadoop has no strategy to assure the security and privacy of the files stored in Hadoop distributed file system (HDFS). As an encryption scheme of the files stored in HDFS, an asymmetric key cryptosystem is advocated. Thus before saving data in HDFS, the proposed hybrid based on RSA, and Rabin cipher would encrypt the data. The user of the cloud might upload files in two ways, non-safe or secure upload files.

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“…Therefore, CP-ABE is a better choice in some applications. Currently ABE has been widely used in the access control, such as Zhou [4] , Xu [5] , Guo [6] .…”

Section: Introductionmentioning

confidence: 99%

An Access Control Scheme For Limiting The Number Of Users Based on Cloud Computing

Shi¹,

Sishui²,

Zhu³

et al. 2015

Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication

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Abstract-Attribute-based access control scheme ensures that users have legitimate attribute to access the shared data. With attributes unauthorized, users can't access the data. But if we want a finer control to the data, some users, having attributes satisfied the access control structures within a certain number, can access the data and the others can't. A simple attribute-based access control method can't meet the above requirements. In this paper, based on the access control needs, we have designed an access control scheme, which can limit the number of users, who can access the shared data. It can limit the number of users effectively and data were shared security at the same time.

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A new solution of data security accessing for Hadoop based on CP-ABE

Cited by 12 publications

References 5 publications

An approach for enhancing data confidentiality in Hadoop

An approach for enhancing data confidentiality in Hadoop

Enhancing approach for information security in Hadoop

An Access Control Scheme For Limiting The Number Of Users Based on Cloud Computing

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