Improving the Privacy in Wireless-Enabled 5G Networks: A Lightweight Protocol for IIoT Communications

Authors

  • Mamoon M. Saeed Department of Communications and Electronics Engineering, Faculty of Engineering, University of Modern Sciences (UMS), Yemen https://orcid.org/0000-0002-6081-2559
  • Rashid A. Saeed College of Electronics Engineering, Faculty of Engineering, Sudan University of Science and Technology, Sudan https://orcid.org/0000-0002-9872-081X
  • Mohammed. Elbashier School of Electronic Engineering‎ Sudan University of Science and ‎‎Technology Khartoum, Sudan https://orcid.org/0000-0002-5744-6906
  • Elmustafa Sayed Ali Department of Electrical & Electronic Engineering, Faculty of Engineering, Red Sea University, Sudan https://orcid.org/0000-0003-4738-3216
  • Rania Mokhtar College of Electronics Engineering, Faculty of Engineering, Sudan University of Science and Technology, Sudan
  • Zeinab E. Ahmed College of Electronics Engineering, Faculty of Engineering, Sudan University of Science and Technology, Sudan

DOI:

https://doi.org/10.69955/ajoeee.24.v4i2.62

Keywords:

Wireless, Privacy, VID, AI/ML, IIoT, Security threats, 5G networks

Abstract

The vision and major elements of the fifth generation (5G) ecosystem have previously been explored. We examine how security may impact the envisioned 5G wireless systems and the challenges and potential solutions to aid in these efforts and define the security and privacy aspects of 5G networks. 5G networks have provided solutions for quicker machine control, problem identification, performance analysis, and data access. Interaction between Internet of Things (IoT) nodes occur across an unsecured wireless channel, which has positive and negative effects. Despite being physically separated, unauthorized nodes could communicate via an unprotected wireless channel to gather data and take over industrial devices. Secure sessions can mitigate these risks, but it might be challenging to construct a secure session over a weak channel. To address this issue, the Variable Identification (VID) is used. VID offers a simple key exchange platform to authorized Industry Internet of Things (IIoT) nodes while guarding against unauthorized use. The lightweight changeable pseudonyms used by VID for trust-building are selected at random from a pool discovered in the home network and terminal devices. All IDs are chosen at random from a pool and are used to protect data against forgery, replay, alteration, impersonation, and man-in-the-middle attacks, among other things, between the home network and terminal equipment. The ProVerif tool is used to evaluate the suggested system, and the findings demonstrate that it is trustworthy and resistant to prospective attacks.

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Author Biographies

  • Mamoon M. Saeed, Department of Communications and Electronics Engineering, Faculty of Engineering, University of Modern Sciences (UMS), Yemen

    Mamoon Mohammed Ali Saeed is Deputy Dean of the College of Engineering and Information Technology, and Director of the University Branch, and a Lecturer at the Department of Communication and Electronics Engineering, UMS University, Yemen. received his Bachelor's degree in Communication and Electronics Engineering from Sana'a University, Yemen 2005, and his M.S. degree from the Department of Computer Networks and Information Security in Yemen Academy for Graduate Studies Yemen 2013. Recently, a Ph.D. in Alzaiem Alazhari University, Faculty of Engineering, Electrical Engineering Department, Khartoum, Sudan 2021. His research areas include information security, communication security, and network security. Email: mamoon530@gmail.com

  • Rashid A. Saeed, College of Electronics Engineering, Faculty of Engineering, Sudan University of Science and Technology, Sudan

    RASHID A. SAEED (IEEE Member: 2002, Senior Member: 2007) eng_rashid@hotmail.com, received his PhD in Communications and Network Engineering, Universiti Putra Malaysia (UPM), in 2008. He is working in Sudan University of Science and Technology (SUST) since 1999. He was senior researcher in Telekom Malaysia™ Research and Development (TMRND) and MIMOS, in 2007, 2010 respectively. Rashid published more than 150 research papers, books and book chapters on wireless communications and networking in peer-reviewed academic journals and conferences. His areas of research interest include computer network, cognitive computing, computer engineering, wireless broadband, WiMAX Femtocell. He is successfully awarding 3 U.S patents in these areas. He supervised more 50 MSc/PhD students. Rashid is a Senior member in IEEE, Member in IEM (I.E.M), SigmaXi, and SEC.

  • Mohammed. Elbashier, School of Electronic Engineering‎ Sudan University of Science and ‎‎Technology Khartoum, Sudan

    MOHAMMED S. ELBASHEIR Has received the B.Sc degree in Electrical Engineering and ‎the M.Sc degree in Communication Engineering from ‎University of Khartoum, Sudan, in 2006. From 1998 till ‎‎2005 he worked as planning and optimization engineer ‎at Etisalat Corporation in UAE. Since 2006 till currently ‎he is working as senior director for mobile radio access ‎network planning and design. Also, currently the studding PhD program in Electronic Engineering Dept., Sudan University of Science & ‎Technology‎, Khartoum, Sudan.

  • Elmustafa Sayed Ali, Department of Electrical & Electronic Engineering, Faculty of Engineering, Red Sea University, Sudan

    Elmustafa Sayed Ali, received his MSc in Electronics & Communication Engineering, Sudan University of Science & technology in 2012 and B.Sc. in 2008. Worked (former) as a senior engineer in Sudan Sea Port Corporation for 5 years as a team leader of new projects in wireless networks includes (Tetra system, Wi-Fi, WI-Max, and CCTV). He has also worked as a manager of marine system dept. in Sudan marine industries. He is a senior lecturer at the dept. of Electrical and Electronic Engineering, Red Sea University, Sudan. He published more than 45 research papers, books and book chapters on wireless communications and networking in peer-reviewed academic journals and conferences. His research interests include underwater communications, intelligent communication and networking, and AI. He is a member of IEEE ComSoc, IAENG, and SEC.

  • Rania Mokhtar, College of Electronics Engineering, Faculty of Engineering, Sudan University of Science and Technology, Sudan

    Rania Abdelhameed Mokhtar (Member, IEEE) received the B.Sc. degree in electronics engineering (computer engineering) from the Sudan University of Science & Technology (SUST), Khartoum, Sudan, in 2001, the master’s (Diploma) degree in information technology (advanced networking and telecommunications) from the International Institute of Information Technology (I2IT), Pune, India, in 2003, and the M.Sc. and Ph.D. degrees from University Putra Malaysia (UPM), Kuala Lumpur, Malaysia, in 2005 and 2010, respectively. In May 2009, she earned the IEEE Wireless Communication Professional (IEEE WCP) certificate in the Wireless Communication Engineering Technology (WCET) Exam. Currently, she is an Associate Professor at Department of Computer Engineering, College of Computers and Information Technology, Taif University. She has published over 30 scientific papers and two books. She was awarded the Elsevier Foundation Award for Women in Engineering, in 2017.

  • Zeinab E. Ahmed, College of Electronics Engineering, Faculty of Engineering, Sudan University of Science and Technology, Sudan

    ZEINAB E. AHMED zeinab.e.ahmed@gmail.com, received her Ph.D. degree in Computer Engineering (Computer Networks) from, University of Gezira (U of G), Sudan. She is working in University of Gezira since 2012. She was head at Department of Computer Engineering, University of Gezira (U of G) from Mar 2018-Mar 2019.Her areas of research interest include optimization techniques, wireless communications and networking, Internet of Things, cloud computing, vehicular cloud computing, Vehicular Ad-hoc networks (VANETs).

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2024-09-27

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[1]
“Improving the Privacy in Wireless-Enabled 5G Networks: A Lightweight Protocol for IIoT Communications”, AJoEEE, vol. 4, no. 2, pp. 1–17, Sep. 2024, doi: 10.69955/ajoeee.24.v4i2.62.

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