Hybrid encryption algorithm for big data security in the Hadoop distributed file system

• Autorzy: Mohanraj T. , Santhosh R.

Identyfikatory

DOI

10.24423/cames.375

• Języki publikacji: EN

Abstrakty

EN

A large amount of structured and unstructured data is collectively termed big data. Therecent technological development streamlined several companies to handle massive dataand interpret future trends and requirements. The Hadoop distributed file system (HDFS)is an application introduced for efficient big data processing. However, HDFS does not have built-in data encryption methodologies, which leads to serious security threats. Encryption algorithms are introduced to enhance data security; however, conventional algorithmslag in performance while handling larger files. This research aims to secure big data usinga novel hybrid encryption algorithm combining cipher-text policy attribute-based encryption (CP-ABE) and advanced encryption standard (AES) algorithms. The performanceof the proposed model is compared with traditional encryption algorithms such as DES, 3DES, and Blowfish to validate superior performance in terms of throughput, encryptiontime, decryption time, and efficiency. Maximum efficiency of 96.5% with 7.12 min encryption time and 6.51 min decryption time of the proposed model outperforms conventionalencryption algorithms.

Słowa kluczowe

EN

big data security; Hadoop; data encryption; data decryption; Hadoop distributed file system

PL

bezpieczeństwo dużych danych; Hadoop; szyfrowanie danych; deszyfrowanie danych; rozproszony system plików Hadoop

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2022
• Tom: Vol. 29, no. 1-2 spec.
• Strony: 33--48
• Opis fizyczny: Bibliogr. 25 poz., rys., tab., wykr.

Twórcy

autor

Mohanraj T.

• Department of Computer Science and Engineering, Faculty of Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India

autor

Santhosh R.

• Department of Computer Science and Engineering, Faculty of Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).