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A novel medical internet of things perception system based on visual image encryption and intrusion detection

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Abstract

Smart cities are the emerging topics in the recent decade with advancements in science and technology especially in the areas of communication technologies. Concept of smart cities depicts the inteconnectivity of physical objects to provide transparency in communication between the physical components or objects. However, implementation of a smart city using Internet of Things (IoT) which is the backbone architecture is affected by several attacks in the wireless communication domain during communication of information between the components as well as cyber-attacks which necessiate the need for the intrusion detection mechanism to prevent any illegeal loss data. This research paper addresses these security issues by implementing the IoT architecture and systematically analysing the demands in security aspects as well as justifying the results with experimentations conducted in a simulated smart city environment.

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Acknowledgement

National Natural Science Foundation of China (Grant: 61376028).

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Authors and Affiliations

  1. Shanghai University School of Mechatronic Engineering and Automation, Shanghai, China

    Aiying Guo & Meihua Xu

  2. Department of Mechatronic Engineering, Shanxi Light Industry College of Vocational and Technical, Shanghai, China

    Aiying Guo

  3. Microelectronics Research and Development Center, Shanghai University, Shanghai, China

    Feng Ran

  4. Shanghai Ruchu Edrive Company, Shanghai, China

    Haiyong Wang

Authors
  1. Aiying Guo
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  2. Meihua Xu
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  3. Feng Ran
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  4. Haiyong Wang
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Corresponding author

Correspondence to Meihua Xu.

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Guo, A., Xu, M., Ran, F. et al. A novel medical internet of things perception system based on visual image encryption and intrusion detection. Cluster Comput 22 (Suppl 6), 13405–13413 (2019). https://doi.org/10.1007/s10586-018-1944-2

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  • DOI: https://doi.org/10.1007/s10586-018-1944-2

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