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Enhancing smart home device identification in WiFi environments for futuristic smart networks-based IoT

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Abstract

The recognition of smart home devices within WiFi environments stands as a pivotal focus within contemporary Internet of Things (IoT) security, especially in the context of Futuristic Smart Networks-based IoT. The inherent encryption feature of the 802.11 protocol in WiFi settings renders conventional identification methods, reliant on plaintext traffic patterns, ineffective for IoT devices. Through an examination of the 802.11 protocol, distinctive traits within data frames of various smart home devices are revealed. Building on these insights, this research selects attributes like frame length, frame arrival time, duration, and frame sequence number as salient traffic characteristics. Leveraging an enhanced decision tree CART algorithm, the study achieves robust device identification for smart home devices operating within WiFi environments. Experimental outcomes affirm the method's efficacy by accurately discerning device models, achieving an impressive identification accuracy of 91.3%.

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Authors and Affiliations

  1. Computer Techniques Engineering Department, Faculty of Information Technology, Imam Ja’afar Al-Sadiq University, Baghdad, Iraq, 10011

    Hassan Falah Fakhruldeen

  2. Faculty of Pharmacy, Middle East University, Amman, 11831, Jordan

    Mohamed J. Saadh

  3. Department of Mathematics, Statistics & Computer Science, The University of Agriculture Peshawar, Peshawar, KP, Pakistan

    Samiullah Khan

  4. Universitas Widya Gama Mahakam Samarinda, Samarinda, Indonesia

    Nur Agus Salim

  5. Department of Information Technology, University of Punjab, Gujranwala Campus, Gujranwala, Pakistan

    Naveed Jhamat & Ghulam Mustafa

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  1. Hassan Falah Fakhruldeen
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  2. Mohamed J. Saadh
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  3. Samiullah Khan
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  4. Nur Agus Salim
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Fakhruldeen, H.F., Saadh, M.J., Khan, S. et al. Enhancing smart home device identification in WiFi environments for futuristic smart networks-based IoT. Int J Data Sci Anal (2024). https://doi.org/10.1007/s41060-023-00489-3

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