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Modern Privacy Risks and Protection Strategies in Data Analytics

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Soft Computing and Signal Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1340))

Abstract

Technology has transformed our socioeconomic life. We are more dependent on technology for our day-to-day activities like banking, e-commerce, retail, etc. Extensive usage of smart phone apps and enormous interest of people for social media has led to a digital data rich environment where significantly large-scale data is being generated and shared by organizations for better decision making and foster businesses through data analytics. However, data analytics involves privacy threats leading to disclosure of personal and sensitive data without the user's consent. Conventional data analytics involved analytics on the data as a whole using aggregate queries. Modern applications like recommendation systems, digital marketing, etc. involves analytics on person-specific individual records which is more harmful to individual privacy. In this paper, we examine various privacy-related risks, privacy preservation strategies with their potentials and limitations, also highlight the important aspects of many privacy legislations made in various countries including Personal Data Protection bill of India and European Union's General Data Protection Regulation (GDPR).

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Author information

Authors and Affiliations

  1. Department of IT, Malla Reddy College of Engineering and Technology, Hyderabad, India

    NarsingRao Vasupula, Vazralu Munnangi & Subbarao Daggubati

Authors
  1. NarsingRao Vasupula
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  2. Vazralu Munnangi
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  3. Subbarao Daggubati
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Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology, Secunderabad, India

    V. Sivakumar Reddy

  2. Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad (JNTUH), Hyderabad, India

    V. Kamakshi Prasad

  3. Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ, USA

    Jiacun Wang

  4. Department of Electronics and Communication Engineering, Sir Visvesvaraya Institute of Technology, Nashik, India

    K. T. V. Reddy

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Vasupula, N., Munnangi, V., Daggubati, S. (2022). Modern Privacy Risks and Protection Strategies in Data Analytics. In: Reddy, V.S., Prasad, V.K., Wang, J., Reddy, K.T.V. (eds) Soft Computing and Signal Processing. Advances in Intelligent Systems and Computing, vol 1340. Springer, Singapore. https://doi.org/10.1007/978-981-16-1249-7_9

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