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SH-SecNet: An Enhanced Secure Network Architecture for the Diagnosis of Security Threats in a Smart Home

Author

Listed:
  • Saurabh Singh

    (Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea)

  • Pradip Kumar Sharma

    (Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea)

  • Jong Hyuk Park

    (Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea)

Abstract

The growing demand for an independent and comfortable lifestyle has motivated the development of the smart home, and providing security is a major challenge for developers and security analysts. Enhancing security in the home environment has been recognized as one of the main obstacles to realizing the vision of creating energy-efficient smart homes and buildings. Understanding the risks associated with the use and potential exploitation of information about homes, end-users, and partners, as well as forming techniques for integrating security assessments into the design, is not straightforward. To address this challenge, we propose enhanced secure network architecture (SH-SecNet) for the diagnosis of security threats in the smart home. In our architecture, we use the Multivariate Correlation Analysis (MCA) technique to analyze the network flow packet in the network layer, as this classifies the network traffic by extracting the correlation between network traffic features. We evaluated the performance of our architecture with respect to various parameters, such as CPU utilization, throughput, round trip time, and accuracy. The result of the evaluation shows that our architecture is efficient and accurate in detecting and mitigating attacks in the smart home network with a low performance overhead.

Suggested Citation

  • Saurabh Singh & Pradip Kumar Sharma & Jong Hyuk Park, 2017. "SH-SecNet: An Enhanced Secure Network Architecture for the Diagnosis of Security Threats in a Smart Home," Sustainability, MDPI, vol. 9(4), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:4:p:513-:d:94326
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    References listed on IDEAS

    as
    1. Zhou, Bin & Li, Wentao & Chan, Ka Wing & Cao, Yijia & Kuang, Yonghong & Liu, Xi & Wang, Xiong, 2016. "Smart home energy management systems: Concept, configurations, and scheduling strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 30-40.
    2. Zhao, Hai-xiang & Magoulès, Frédéric, 2012. "A review on the prediction of building energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3586-3592.
    3. Tiago D. P. Mendes & Radu Godina & Eduardo M. G. Rodrigues & João C. O. Matias & João P. S. Catalão, 2015. "Smart Home Communication Technologies and Applications: Wireless Protocol Assessment for Home Area Network Resources," Energies, MDPI, vol. 8(7), pages 1-33, July.
    4. Omowunmi Mary Longe & Khmaies Ouahada & Suvendi Rimer & Ashot N. Harutyunyan & Hendrik C. Ferreira, 2017. "Distributed Demand Side Management with Battery Storage for Smart Home Energy Scheduling," Sustainability, MDPI, vol. 9(1), pages 1-13, January.
    5. Timothy Dougan & Kevin Curran, 2012. "Man in the Browser Attacks," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global Scientific Publishing, vol. 4(1), pages 29-39, January.
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    Cited by:

    1. Muhammad Abbas Khan & Ijaz Ahmad & Anis Nurashikin Nordin & A. El-Sayed Ahmed & Hiren Mewada & Yousef Ibrahim Daradkeh & Saim Rasheed & Elsayed Tag Eldin & Muhammad Shafiq, 2022. "Smart Android Based Home Automation System Using Internet of Things (IoT)," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    2. Yi Sun & Shihui Li, 2021. "A systematic review of the research framework and evolution of smart homes based on the internet of things," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 77(3), pages 597-623, July.
    3. Saurabh Singh & In-Ho Ra & Weizhi Meng & Maninder Kaur & Gi Hwan Cho, 2019. "SH-BlockCC: A secure and efficient Internet of things smart home architecture based on cloud computing and blockchain technology," International Journal of Distributed Sensor Networks, , vol. 15(4), pages 15501477198, April.
    4. Saurabh Singh & Pradip Kumar Sharma & Seo Yeon Moon & Jong Hyuk Park, 2017. "EH-GC: An Efficient and Secure Architecture of Energy Harvesting Green Cloud Infrastructure," Sustainability, MDPI, vol. 9(4), pages 1-18, April.

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