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Security and Privacy in Big Data Life Cycle: A Survey and Open Challenges

Author

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  • Jahoon Koo

    (Department of Computer and Information Security and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Korea)

  • Giluk Kang

    (Department of Computer and Information Security and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Korea)

  • Young-Gab Kim

    (Department of Computer and Information Security and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, Korea)

Abstract

The use of big data in various fields has led to a rapid increase in a wide variety of data resources, and various data analysis technologies such as standardized data mining and statistical analysis techniques are accelerating the continuous expansion of the big data market. An important characteristic of big data is that data from various sources have life cycles from collection to destruction, and new information can be derived through analysis, combination, and utilization. However, each phase of the life cycle presents data security and reliability issues, making the protection of personally identifiable information a critical objective. In particular, user tendencies can be analyzed using various big data analytics, and this information leads to the invasion of personal privacy. Therefore, this paper identifies threats and security issues that occur in the life cycle of big data by confirming the current standards developed by international standardization organizations and analyzing related studies. In addition, we divide a big data life cycle into five phases (i.e., collection, storage, analytics, utilization, and destruction), and define the security taxonomy of the big data life cycle based on the identified threats and security issues.

Suggested Citation

  • Jahoon Koo & Giluk Kang & Young-Gab Kim, 2020. "Security and Privacy in Big Data Life Cycle: A Survey and Open Challenges," Sustainability, MDPI, vol. 12(24), pages 1-32, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:24:p:10571-:d:463896
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    References listed on IDEAS

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    1. S. Vijayarani Mohan & Tamilarasi Angamuthu, 2018. "Association Rule Hiding in Privacy Preserving Data Mining," International Journal of Information Security and Privacy (IJISP), IGI Global, vol. 12(3), pages 141-163, July.
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    Cited by:

    1. Fatima Rafiq & Mazhar Javed Awan & Awais Yasin & Haitham Nobanee & Azlan Mohd Zain & Saeed Ali Bahaj, 2022. "Privacy Prevention of Big Data Applications: A Systematic Literature Review," SAGE Open, , vol. 12(2), pages 21582440221, May.
    2. Ebrahim A. A. Ghaleb & P. D. D. Dominic & Suliman Mohamed Fati & Amgad Muneer & Rao Faizan Ali, 2021. "The Assessment of Big Data Adoption Readiness with a Technology–Organization–Environment Framework: A Perspective towards Healthcare Employees," Sustainability, MDPI, vol. 13(15), pages 1-33, July.
    3. Seungjin Baek & Young-Gab Kim, 2021. "C4I System Security Architecture: A Perspective on Big Data Lifecycle in a Military Environment," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    4. Mazhar Javed Awan & Umar Farooq & Hafiz Muhammad Aqeel Babar & Awais Yasin & Haitham Nobanee & Muzammil Hussain & Owais Hakeem & Azlan Mohd Zain, 2021. "Real-Time DDoS Attack Detection System Using Big Data Approach," Sustainability, MDPI, vol. 13(19), pages 1-19, September.

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