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Critical Analysis of Big Data Privacy Preservation Techniques and Challenges

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International Conference on Innovative Computing and Communications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1394))

Abstract

In the present age, diversified data—both structured and unstructured, is being produced in huge amounts from sources like database transactions, audios, images, videos, social online platforms, etc., and that too within a time period of a millionth of a second. While this data is consumed and stored in large volumes, it is quite complex in nature and is growing within the constraints of self-regulatory sources. As a result, conventional procedures of data analysis and management fail in successfully managing the large data sets, collectively called as big data. Henceforth, by using a variety of techniques in the domain of data mining on large data sets, useful information is obtained, but this process is as meticulous as it is challenging. One of the biggest challenges, among others, is maintaining data privacy and to restrict unauthorized access to sensitive data generated, exchanged or recorded in banking transactions, health sector procedures, user interactions on social media as online presence and dependency of users has exponentially increased along with proliferation of sensitive information. This paper presents research insights into challenges in big data mining and the privacy concerns in big data besides presenting gaps in the research that can be used to plan future research.

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Author information

Authors and Affiliations

  1. Jagan Institute of Management Studies, Rohini, Delhi, India

    Suman Madan, Kirti Bhardwaj & Shubhangi Gupta

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  1. Suman Madan
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  2. Kirti Bhardwaj
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  3. Shubhangi Gupta
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Editor information

Editors and Affiliations

  1. Maharaja Agrasen Institute of Technology, Delhi, India

    Ashish Khanna

  2. Department of Computer Science Engineering, Maharaja Agrasen Institute of Technology, Rohini, Delhi, India

    Deepak Gupta

  3. Rajnagar Mahavidyalaya, Birbhum, India

    Siddhartha Bhattacharyya

  4. Computer and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  5. Department of Computer Science, Shaheed Sukhdev College of Business Studies, Rohini, Delhi, India

    Sameer Anand

  6. Department of Computer Science, Shaheed Sukhdev College of Business Studies, Rohini, Delhi, India

    Ajay Jaiswal

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Madan, S., Bhardwaj, K., Gupta, S. (2022). Critical Analysis of Big Data Privacy Preservation Techniques and Challenges. In: Khanna, A., Gupta, D., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1394. Springer, Singapore. https://doi.org/10.1007/978-981-16-3071-2_23

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