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IoT Data Management—Security Aspects of Information Linkage in IoT Systems

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Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 174))

Abstract

The rapid pace of data generation requires tools and techniques for its efficient handling and storage. With the emergence of Internet of Things (IoT) technology, we have witnessed a total paradigm shift in computing techniques. The world is steadily moving towards the realization of Nanotechnology wherein the computing devices are getting miniaturized yet providing powerful computing capabilities. IoT is finding its ways in almost every sphere of computing and related services. A typical Internet of Things (IoT) ecosystem consists of thousands of miniature chips, devices and objects forming systems and subsystems which generates huge amount of data and information. The data from these devices interacts with each other to provide services to the users. However, these interactions sometimes may lead to unintended data leakages and security breaches thus compromising the security and privacy of the stakeholders. The most pertinent factor which comes as a hindrance is the varied nature of the data captured and processed by IoT devices. Since individual IoT devices are largely of different make, model and manufacturer, they capture and process data in their respective formats. Therefore it is essential to devise mechanisms, tools and techniques for standardizing the data captured from different IoT devices. The security of the data and the privacy of the users and devices are the other two important factors which must be addressed in order to develop an effective and efficient IoT ecosystem. Therefore, it is imperative to develop tools, techniques and architectures to ensure privacy preserved, secured and efficient data integration and information linkage among the participating devices in an IoT ecosystem. This chapter provides a detailed overview of IoT ecosystem primarily focusing on the aspects of data management, privacy and security of data along with the various security aspects of information linkage in a typical IoT ecosystem and proposes an improved architecture for a secure and privacy preserved IoT ecosystem. The chapter also provides state-of-the-art review of the latest researches about effective data management in IoT ecosystem. Finally the issues and challenges present in effective data management, information linkage and security of IoT devices and system are highlighted along with the future research directions.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, 110062, India

    Mohd Abdul Ahad, Gautami Tripathi, Sherin Zafar & Faraz Doja

Authors
  1. Mohd Abdul Ahad
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  2. Gautami Tripathi
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  3. Sherin Zafar
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  4. Faraz Doja
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Corresponding author

Correspondence to Mohd Abdul Ahad .

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Editors and Affiliations

  1. CSIE Department, National Dong Hwa University, New Taipei City, Taiwan

    Sheng-Lung Peng

  2. Department of Computer Science and Engineering, Brainware University, Kolkata, West Bengal, India

    Souvik Pal

  3. Department of Communications Engineering, Xiamen University, Xiamen City, Fujian, China

    Lianfen Huang

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Ahad, M.A., Tripathi, G., Zafar, S., Doja, F. (2020). IoT Data Management—Security Aspects of Information Linkage in IoT Systems. In: Peng, SL., Pal, S., Huang, L. (eds) Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm. Intelligent Systems Reference Library, vol 174. Springer, Cham. https://doi.org/10.1007/978-3-030-33596-0_18

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