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Optimized Hysteresis Region Authenticated Handover for 5G HetNets

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Artificial Intelligence and Sustainable Computing

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

The fifth generation (5G) networks have been deployed in some countries to offer high data rate connectivity, ultra-low latencies and increased capacities. However, security, efficiency and privacy are major issues affecting these deployments. Although a myriad of intelligent target cell section protocols has been developed, their main focus is on efficiency and quality of service improvements. As such, security and privacy are missing in these protocols. To address this gap, the third generation partnership group (3GPP) has specified authentication and key agreement (5G-AKA), and extensible authentication protocol–improved AKA (EAP-AKA’) in its Release 16(3GPP R16). However, these two protocols are susceptible to numerous attacks. To curb some of these security issues, many protocols have been presented in literature. However, these schemes are inefficient or fail to effectively meet 5G security and privacy requirements. In this paper, a protocol that simultaneously addresses efficiency, security and privacy is developed. To achieve this, an intelligent model leveraging on artificial neural network and fuzzy logic is trained and deployed for target cell prediction. During the actual handover, the user equipment, source gNB and target gNB are authenticated and a session key established. The results show that this protocol has high handover success rate and average computation and communication overheads. It offers anonymity, forward key secrecy, untraceability and is robust against numerous attack vectors.

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Author information

Authors and Affiliations

  1. Faculty of Biological and Physical Sciences, Tom Mboya University College, Homabay, Kenya

    Vincent Omollo Nyangaresi

  2. Department of Computer Science, College of Education for Pure Sciences, University of Basrah, Basrah, 61004, Iraq

    Zaid Ameen Abduljabbar & Ayad Ibrahim

  3. Huazhong University of Science and Technology, Shenzhen Institute, Shenzhen, China

    Zaid Ameen Abduljabbar

  4. College of Big Data and Internet, Shenzhen Technology University, Shenzhen, 518118, China

    Mustafa A. Al Sibahee

  5. Computer Technology Engineering Department, Iraq University College, Basrah, Iraq

    Mustafa A. Al Sibahee

  6. Science and Research Branch, Islamic Azad University, 1477893855, Tehran, Iran

    Ali Noah Yahya

  7. Department of Computer Technology Engineering, Iraq University College, Basra, 61004, Iraq

    Ali Noah Yahya

  8. Department of Computer Science, College of Computer Science and Information Technology, University of Basrah, Basra, Iraq

    Iman Qays Abduljaleel

  9. Department of Mathematics, College of Science, University of Basrah, Basra, Iraq

    Enas Wahab Abood

Authors
  1. Vincent Omollo Nyangaresi
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  2. Zaid Ameen Abduljabbar
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  3. Mustafa A. Al Sibahee
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  4. Ayad Ibrahim
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  5. Ali Noah Yahya
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  6. Iman Qays Abduljaleel
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  7. Enas Wahab Abood
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Corresponding author

Correspondence to Vincent Omollo Nyangaresi .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India

    Manjaree Pandit

  2. Madhav Institute of Technology and Science, Gwalior, India

    M. K. Gaur

  3. Thapar Institute of Engineering and Technology, Patiala, India

    Prashant Singh Rana

  4. Madhav Institute of Technology and Science, Gwalior, India

    Akhilesh Tiwari

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Nyangaresi, V.O. et al. (2022). Optimized Hysteresis Region Authenticated Handover for 5G HetNets. In: Pandit, M., Gaur, M.K., Rana, P.S., Tiwari, A. (eds) Artificial Intelligence and Sustainable Computing. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-1653-3_9

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