RC4 in Hadoop security using MapReduce

Jayan, Anandu; Upadhyay, Bhargavi R.

doi:10.1109/iccids.2017.8272637

Cited by 7 publications

(2 citation statements)

References 13 publications

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“…In 2012 a hybrid encryption scheme is proposed [6] to ensure data confidentiality in HDFS, which using DES algorithm to encrypt files and RSA for key encryption, and finally IDEA for the user's RSA private key encryption, and finally RSA for key encryption.…”

Section: Exploring the Limitations Of Hadoop Security And Computation...mentioning

confidence: 99%

Sustainable MapReduce: Optimizing Security and Efficiency in Hadoop Clusters with Lightweight Cryptography-based Key Management

Khadji,

Kholji,

Bourekkadi

et al. 2023

E3S Web Conf.

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The exponential growth of big data has led to a significant increase in the volume and complexity of data being generated and stored. This trend has created a huge demand for secure storage and processing of big data. Cryptography is a widely used technique for securing data, but traditional cryptography algorithms are often too resource-intensive for big data applications. To address this issue, light weight cryptography algorithms have been developed that are optimized for low computational overhead and low memory utilization. This research paper explores the use of a new sustainable algorithm that utilizes a lightweight cryptographybased key management scheme to optimize MapReduce security and computational efficiency in Hadoop clusters. The proposed sustainable MapReduce algorithm aims to reduce memory and CPU allocation, thereby significantly reducing the energy consumption of Hadoop clusters. The paper emphasizes the importance of reducing energy consumption and enhancing environmental sustainability in big data processing and highlights the potential benefits of using sustainable lightweight cryptography algorithms in achieving these goals. Through rigorous testing and evaluation, the paper demonstrates the effectiveness of the proposed sustainable MapReduce algorithm in improving the energy efficiency and computational performance of Hadoop clusters, making it a promising solution for sustainable big data processing.

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Section: Exploring the Limitations Of Hadoop Security And Computation...mentioning

confidence: 99%

Sustainable MapReduce: Optimizing Security and Efficiency in Hadoop Clusters with Lightweight Cryptography-based Key Management

Khadji,

Kholji,

Bourekkadi

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

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“…However, the method is not yet efficiently implemented. Jayan and Upadhyay (11) modified the RC4 Encryption Algorithm. The key scheduling and random number generation are executed in parallel.…”

Section: Literature Surveymentioning

confidence: 99%

A Survey on Hadoop Security and Comparative Analysis on Authentication Frameworks in Hadoop Clusters

Hena¹,

Jeyanthi²

2022

ECS Trans.

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This paper presents a survey on various security frameworks which aim to secure Hadoop clusters and the files stored there. Most of the Hadoop platforms rely on Kerberos Authentication Protocol for user authentication. It is known that Kerberos itself has some vulnerabilities like Password Guessing Attacks, Single Point of Failure, Insider Attacks, and Time Synchronization problems. A new authentication framework that can address most of the identified issues and is computationally feasible than other schemes is introduced in this paper. The proposed framework is based on Secure Remote Password Protocol (SRP), Threshold Cryptography, and Blockchain Technology. The system focus on eradicating Password Guessing Attacks and Single Point of Failure in Kerberos Enabled Hadoop Clusters. The analysis results strengthen the claim that the proposed scheme beats the others in terms of computational efficiency and feasibility while offering the same security features. The paper is concluded with directions for future work.

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