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Enhanced Robustness Strategy for IoT in Smart Cities Based on Data Driven Approach

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Web, Artificial Intelligence and Network Applications (WAINA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 927))

Abstract

Numerous fields have wide range of applications regarding Internet of Things (IoT) specially smart cities. Due to increasing day to day growth in number of applications, there is exponential rise in requirement of IoT devices. IoT network is becoming complex persistently which brings the significant challenge to the robustness of network topology. IoT is the backbone of smart cities due to inter connecting wide range of devices and converting a conventional city to smart city. To improve network topology robustness against targeted, malicious and intentional attacks have become a critical issue. To deal with the problem in this article, Enhanced Angle Sum Operation (EASO) ROSE is presented. Proposed scheme improves the robustness of network topology without effecting node degree distribution and scale-free property. Topology robustness is achieved by degree difference and angle sum operations. Extensive simulation results verify that our proposed scheme efficiently generate scale-free typologies for IoT in smart cities and significantly improve topology robustness against malicious and targeted attacks.

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Author information

Authors and Affiliations

  1. COMSATS University Islamabad, Islamabad, 44000, Pakistan

    Talha Naeem Qureshi & Nadeem Javaid

  2. Division of Science and Technology, University of Education, Lahore, Pakistan

    Suhail Ashfaq Butt

  3. Beijing Institute of Technology, Beijing, 100000, China

    Wahab Khan

  4. Riphah International University, Islamabad, 44000, Pakistan

    Sabir Ali Changazi & Muhammad Mudassar Iqbal

Authors
  1. Talha Naeem Qureshi
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  2. Nadeem Javaid
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  3. Suhail Ashfaq Butt
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  4. Wahab Khan
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  5. Sabir Ali Changazi
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  6. Muhammad Mudassar Iqbal
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Corresponding author

Correspondence to Nadeem Javaid .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Advanced Sciences, Hosei University, Koganei-Shi, Tokyo, Japan

    Makoto Takizawa

  3. Department of Computer Science, Technical University of Catalonia, Barcelona, Barcelona, Spain

    Fatos Xhafa

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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Qureshi, T.N., Javaid, N., Butt, S.A., Khan, W., Changazi, S.A., Iqbal, M.M. (2019). Enhanced Robustness Strategy for IoT in Smart Cities Based on Data Driven Approach. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2019. Advances in Intelligent Systems and Computing, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-15035-8_105

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