SIMPLIFYING BIG DATA SECURITY: KERBEROS, SENTRY, AND RANGER

Authors

  • Ramalingeshwar Sirigade Texas A&M University, USA. Author

Keywords:

Hadoop Security, Kerberos Authentication, Sentry Authorization, Apache Ranger, Big Data Protection

Abstract

This comprehensive article explores the critical security challenges faced in Big Data environments, particularly within the Hadoop ecosystem. It delves into three essential security components: Kerberos for authentication, Sentry for fine-grained authorization, and Ranger for comprehensive security management. The article provides detailed insights into the functionalities, implementation strategies, and benefits of each tool, supported by industry statistics and expert recommendations. Additionally, it outlines five best practices for implementing Hadoop security, including a layered security approach, regular audits, the principle of least privilege, keeping systems updated, and education and training. Throughout, the article emphasizes the importance of robust security measures in protecting sensitive data, ensuring regulatory compliance, and mitigating the growing sophistication of cyber threats in the rapidly expanding field of Big Data.

References

Statista, "Volume of data/information created, captured, copied, and consumed worldwide from 2010 to 2025," 2021. [Online]. Available: https://www.statista.com/statistics/871513/worldwide-data-created/

Grand View Research, "Hadoop Market Size, Share & Trends Analysis Report By Component, By Deployment, By End Use, By Region, And Segment Forecasts, 2023 - 2030," 2023. [Online]. Available: https://www.grandviewresearch.com/industry-analysis/hadoop-market

MIT Kerberos Consortium, "Kerberos: The Network Authentication Protocol," 2023. [Online]. Available: https://web.mit.edu/kerberos/

Cloud Security Alliance, "Big Data Security and Privacy Handbook: 100 Best Practices in Big Data Security and Privacy," 2022. [Online]. Available: https://cloudsecurityalliance.org/artifacts/big-data-security-and-privacy-handbook/

Gartner, "Market Guide for Hadoop Operations Providers," 2023. [Online]. Available: https://www.gartner.com/en/documents/3637017

Apache Software Foundation, "Apache Sentry," 2021. [Online]. Available: https://sentry.apache.org/

National Institute of Standards and Technology, "NIST Big Data Interoperability Framework: Volume 4, Security and Privacy," 2019. [Online]. Available: https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.1500-4r2.pdf

Cloud Security Alliance, "Big Data Security and Privacy Handbook: 100 Best Practices in Big Data Security and Privacy," 2016. [Online]. Available: https://cloudsecurityalliance.org/artifacts/big-data-security-and-privacy-handbook/

Apache Software Foundation, "Apache Ranger - Introduction," 2023. [Online]. Available: https://ranger.apache.org/

National Institute of Standards and Technology, "NIST Special Publication 800-190: Application Container Security Guide," 2017. [Online]. Available: https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-190.pdf

Ponemon Institute, "Cost of a Data Breach Report 2023," IBM Security, 2023. [Online]. Available: https://www.ibm.com/reports/data-breach

National Institute of Standards and Technology, "NIST Special Publication 800-53 Revision 5: Security and Privacy Controls for Information Systems and Organizations," 2020. [Online]. Available: https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-53r5.pdf

Downloads

Published

2024-09-20