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A Chaos-Based Multi-level Dynamic Framework for Image Encryption

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Internet of Things (IoT)

Abstract

Large scale internet and mobile usage has led the world witness ubiquitous increase in data transfer requirements as well as nature of data in transmissions on insecure networks. Internet of Things (IoT) has given an altogether new dimension to security challenges required to be addressed in the emerging world of smart cities specially with respect to data which is not necessarily text based and is magnanimous and requires to be processed in environments with adaptive needs. Images form one such type of data which forms significant proportions of modern day transmissions and is also equally significant when it comes to data being generated by devices including mobile phones, IoT devices like smart bells, surveillance devices, CCTVs etc. specifically when operating in environments requiring adaptability to dynamic changes in security requirements in balance with resource availabilities. Traditional schemes with proven security like AES use static operations involving significant computational expense and are suitable for securing textual data but no such standard exists till date for securing media like images. Since, images are bulkier and contains significant correlation in neighbourhood so there is a need to design new encryption approaches going beyond the conventional static encryption paradigm, hence, in this chapter we propose a paradigm shift opposed to the static approach for encryption.

This chapter proposes a chaos-based, multiple-round, adaptive and dynamic framework for image encryption with new levels of dynamism across different functional dimensions of the entire encryption process. The impact of the new levels of dynamism across the entire encryption process has been experimentally demonstrated. Observations and results show that such framework can be used to address dynamically changing encryption requirements and resist higher levels of cryptanalysis because the proposed dynamism of the framework makes it difficult for the attacker to identify and estimate the structure and operations of the encryption process to perform cryptanalysis.

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Authors and Affiliations

  1. Department of Mathematics, Jamia Millia Islamia, New Delhi, India

    Sakshi Dhall

  2. Department of Computer Science & Engineering, Delhi Technological University, New Delhi, India

    Sakshi Dhall

  3. Scientific Analysis Group, DRDO, New Delhi, India

    Saibal K. Pal

  4. Department of Information Technology, Delhi Technological University, New Delhi, India

    Kapil Sharma

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  1. Sakshi Dhall
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  2. Saibal K. Pal
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Editors and Affiliations

  1. Department of Computer Science, Jamia Millia Islamia, New Delhi, India

    Mansaf Alam

  2. College of Computer & Information Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

    Kashish Ara Shakil

  3. Department of Computer Science, Jamia Millia Islamia, New Delhi, India

    Samiya Khan

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Dhall, S., Pal, S.K., Sharma, K. (2020). A Chaos-Based Multi-level Dynamic Framework for Image Encryption. In: Alam, M., Shakil, K., Khan, S. (eds) Internet of Things (IoT). Springer, Cham. https://doi.org/10.1007/978-3-030-37468-6_10

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