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Empirical Characterization of Network Traffic for Reliable Communication in IoT Devices

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Security in Cyber-Physical Systems

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 339))

Abstract

The massive growth in the popularity of Internet of Things (IoT) and hence expansion in the number of IoT devices has led to network control issues. The heterogeneity observed in the generated data from each device has further contributed to latency delays and network traffic concerns. An integral part of current network research encompasses the monitoring of network activities, device identification, and secure exchange of information between different devices. The recognition and administration of these persistently increasing IoT devices have posed major challenges in various fields of their application, like Cyber-Physical Systems (CPSs). Hence, the management of network traffic flow between these devices has become a concerning issue. The prolonged inconsistency in cybersecurity systems and constrained computational capabilities have further made IoT devices more vulnerable to adversarial threats. To this end, the preservation and administration of network activities become crucial to manage. In this chapter, we address the network traffic administration issue for different IoT devices. We focus on the efficient characterization of inter-arrival rates of data generated from IoT devices for packet-level and flow-level analysis. Thus, making identification and management of IoT devices exceedingly significant for securing stable functioning of network activities. We also discuss some influential works conjectured to IoT devices and network analysis. The empirical results obtained from real-world network flows have been reported to provide a precise understanding of our observations. Finally, the strengths and weaknesses of some state-of-the-art technologies are discussed along with relevant future scopes.

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Authors and Affiliations

  1. Department of Computer Science, Ravenshaw University, Cuttack, 753003, India

    Sujit Bebortta & Dilip Senapati

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  1. Sujit Bebortta
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  2. Dilip Senapati
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Correspondence to Dilip Senapati .

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Editors and Affiliations

  1. Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden

    Ali Ismail Awad

  2. School of Computer Science, University of Nottingham, Nottingham, UK

    Steven Furnell

  3. Systems Research Institute, Polish Academy of Sciences, Warszawa, Poland

    Marcin Paprzycki

  4. Institute of Information Technology and Management, New Delhi, India

    Sudhir Kumar Sharma

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Bebortta, S., Senapati, D. (2021). Empirical Characterization of Network Traffic for Reliable Communication in IoT Devices. In: Awad, A.I., Furnell, S., Paprzycki, M., Sharma, S.K. (eds) Security in Cyber-Physical Systems. Studies in Systems, Decision and Control, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-67361-1_3

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  • DOI: https://doi.org/10.1007/978-3-030-67361-1_3

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