Stochastic Geometry-Based Physical-Layer Security Performance Analysis of a Hybrid NOMA-PDM-Based IoT System | IEEE Journals & Magazine | IEEE Xplore

Stochastic Geometry-Based Physical-Layer Security Performance Analysis of a Hybrid NOMA-PDM-Based IoT System


Abstract:

With the development of low-cost computer chips and wireless networks, any object or thing can become a component of the Internet of Things (IoT). As a result, these disp...Show More

Abstract:

With the development of low-cost computer chips and wireless networks, any object or thing can become a component of the Internet of Things (IoT). As a result, these disparate things will gain digital intelligence, enabling them to connect with real-time data and be used for a wide range of valuable and practical IoT applications. However, due to the broadcast nature of wireless communication and the presence of eavesdroppers, the IoT systems pose serious threats to privacy and message integrity, particularly with mobile sensors. Recently, physical-layer security (PLS) has been proposed as a cost-effective solution that mitigates the impact of growing security threats. In this article, we propose a PLS-based hybrid nonorthogonal multiple access (NOMA)/power division multiplexing (PDM) IoT system that provides a high probability of secured transmission, a low computational complexity, and a low-power consumption. 3-D stochastic geometry tools have been used to introduce and evaluate our proposed scheme in a variety of practical scenarios where users are randomly located in a 3-D space. Furthermore, we derive the new scheme’s key agreement ratio (KAR) expression, the probability expressions of using NOMA and PDM modes. Moreover, we derive the associated secrecy outage probability (SOP), and the average ergodic capacity (AEC) expressions for the proposed scheme as well as for the pure NOMA and pure PDM schemes. In addition, we introduce and investigate the security power efficiency (SPE) metric, that serves as a new key agreement optimization metric. Numerical results are performed to validate the obtained analytical expressions and to assess the proposed scheme performances in terms of KAR, SOP, and AEC, when compared to pure NOMA and pure PDM schemes.
Published in: IEEE Internet of Things Journal ( Volume: 11, Issue: 2, 15 January 2024)
Page(s): 2027 - 2042
Date of Publication: 04 July 2023

ISSN Information:

Funding Agency:

Author image of Hela Chamkhia
Department of Computer Science and Engineering, Qatar University, Doha, Qatar
Hela Chamkhia received the engineering degree in telecommunications from The Tunisian Aviation Academy EABA, Tunis, Tunisia, in 2009, and the M.Res. and Ph.D. degrees in information and communications technology from the Engineering National School of Tunis/Tunis El Manar University, Tunis, in 2011 and 2015, respectively.
From 2015 to 2017, she was a Postdoctoral Researcher with the Electrical Engineering Department and th...Show More
Hela Chamkhia received the engineering degree in telecommunications from The Tunisian Aviation Academy EABA, Tunis, Tunisia, in 2009, and the M.Res. and Ph.D. degrees in information and communications technology from the Engineering National School of Tunis/Tunis El Manar University, Tunis, in 2011 and 2015, respectively.
From 2015 to 2017, she was a Postdoctoral Researcher with the Electrical Engineering Department and th...View more
Author image of Aiman Erbad
College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
Aiman Erbad (Senior Member, IEEE) received the B.Sc. degree in computer engineering from the University of Washington, Seattle, WA, USA, in 2004, the Master of Computer Science degree in embedded systems and robotics from the University of Essex, Colchester, U.K, in 2005, and the Ph.D. degree in computer science from the University of British Columbia, Vancouver, BC, Canada, in 2012.
He is an Associate Professor and the He...Show More
Aiman Erbad (Senior Member, IEEE) received the B.Sc. degree in computer engineering from the University of Washington, Seattle, WA, USA, in 2004, the Master of Computer Science degree in embedded systems and robotics from the University of Essex, Colchester, U.K, in 2005, and the Ph.D. degree in computer science from the University of British Columbia, Vancouver, BC, Canada, in 2012.
He is an Associate Professor and the He...View more
Author image of Amr Mohamed
Department of Computer Science and Engineering, Qatar University, Doha, Qatar
Amr Mohamed (Senior Member, IEEE) received the M.S. and Ph.D. degrees in electrical and computer engineering from The University of British Columbia, Vancouver, BC, Canada, in 2001 and 2006, respectively.
He was an Advisory IT Specialist with the IBM Innovation Centre, Vancouver, from 1998 to 2007, taking a leadership role in systems development for vertical industries. He is currently a Professor and the Head of the Depar...Show More
Amr Mohamed (Senior Member, IEEE) received the M.S. and Ph.D. degrees in electrical and computer engineering from The University of British Columbia, Vancouver, BC, Canada, in 2001 and 2006, respectively.
He was an Advisory IT Specialist with the IBM Innovation Centre, Vancouver, from 1998 to 2007, taking a leadership role in systems development for vertical industries. He is currently a Professor and the Head of the Depar...View more
Author image of Ahmed Refaey Hussein
School of Engineering, University of Guelph, Guelph, Canada
Ahmed Refaey Hussein (Senior Member, IEEE) received the B.Sc. and M.Sc. degrees from Alexandria University, Alexandria, Egypt, in 2003 and 2005, respectively, and the Ph.D. degree from Laval University, Quebec, QC, Canada, in 2011.
He was a System/Core Network Engineer leading a team of junior engineers and technicians in the telecom field in the three prominent companies of Fujitsu, Vodafone, and Alcatel-Lucent. His posit...Show More
Ahmed Refaey Hussein (Senior Member, IEEE) received the B.Sc. and M.Sc. degrees from Alexandria University, Alexandria, Egypt, in 2003 and 2005, respectively, and the Ph.D. degree from Laval University, Quebec, QC, Canada, in 2011.
He was a System/Core Network Engineer leading a team of junior engineers and technicians in the telecom field in the three prominent companies of Fujitsu, Vodafone, and Alcatel-Lucent. His posit...View more
Author image of Abdulla Khalid Al-Ali
Department of Computer Science and Engineering, Qatar University, Doha, Qatar
Abdulla Khalid Al-Ali (Member, IEEE) received the M.Sc. degree in software design engineering and the Ph.D. degree in computer engineering from Northeastern University, Boston, MA, USA, in 2008 and 2014, respectively.
He is an Associate Professor with the Computer Science and Engineering Department, Qatar University, Doha, Qatar. He is an Active Researcher in the fields of communication, cyber–physical systems security, mH...Show More
Abdulla Khalid Al-Ali (Member, IEEE) received the M.Sc. degree in software design engineering and the Ph.D. degree in computer engineering from Northeastern University, Boston, MA, USA, in 2008 and 2014, respectively.
He is an Associate Professor with the Computer Science and Engineering Department, Qatar University, Doha, Qatar. He is an Active Researcher in the fields of communication, cyber–physical systems security, mH...View more
Author image of Mohsen Guizani
Machine Learning Department, Mohamed Bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
Mohsen Guizani (Fellow, IEEE) received the B.S. (with Distinction), M.S., and Ph.D. degrees in electrical and computer engineering from Syracuse University, Syracuse, NY, USA, in 1985, 1987, and 1990, respectively. He is currently a Professor of Machine Learning with the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE. Previously, he worked in different institutions in the USA. He is the a...Show More
Mohsen Guizani (Fellow, IEEE) received the B.S. (with Distinction), M.S., and Ph.D. degrees in electrical and computer engineering from Syracuse University, Syracuse, NY, USA, in 1985, 1987, and 1990, respectively. He is currently a Professor of Machine Learning with the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE. Previously, he worked in different institutions in the USA. He is the a...View more

Author image of Hela Chamkhia
Department of Computer Science and Engineering, Qatar University, Doha, Qatar
Hela Chamkhia received the engineering degree in telecommunications from The Tunisian Aviation Academy EABA, Tunis, Tunisia, in 2009, and the M.Res. and Ph.D. degrees in information and communications technology from the Engineering National School of Tunis/Tunis El Manar University, Tunis, in 2011 and 2015, respectively.
From 2015 to 2017, she was a Postdoctoral Researcher with the Electrical Engineering Department and the computer science and Engineering Department, from 2020 to 2021, Qatar University, Doha, Qatar, where she is currently a Lecturer with the College of Engineering. Her research interests include modeling, design, and performance analysis of wireless communication systems. In particular, she has an interest in: 5-G NR Systems, 3GPP LTE and LTE-A Networks, IOT Systems, and Device to Device Communication Systems.
Dr. Chamkhia received the ICTC 2013 Best Paper Award.
Hela Chamkhia received the engineering degree in telecommunications from The Tunisian Aviation Academy EABA, Tunis, Tunisia, in 2009, and the M.Res. and Ph.D. degrees in information and communications technology from the Engineering National School of Tunis/Tunis El Manar University, Tunis, in 2011 and 2015, respectively.
From 2015 to 2017, she was a Postdoctoral Researcher with the Electrical Engineering Department and the computer science and Engineering Department, from 2020 to 2021, Qatar University, Doha, Qatar, where she is currently a Lecturer with the College of Engineering. Her research interests include modeling, design, and performance analysis of wireless communication systems. In particular, she has an interest in: 5-G NR Systems, 3GPP LTE and LTE-A Networks, IOT Systems, and Device to Device Communication Systems.
Dr. Chamkhia received the ICTC 2013 Best Paper Award.View more
Author image of Aiman Erbad
College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
Aiman Erbad (Senior Member, IEEE) received the B.Sc. degree in computer engineering from the University of Washington, Seattle, WA, USA, in 2004, the Master of Computer Science degree in embedded systems and robotics from the University of Essex, Colchester, U.K, in 2005, and the Ph.D. degree in computer science from the University of British Columbia, Vancouver, BC, Canada, in 2012.
He is an Associate Professor and the Head of Information and Computing Technology Division with the College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar. Prior to this, he was an Associate Professor with the Computer Science and Engineering Department and the Director of Research Planning and Development, Qatar University, Doha, until May 2020. He also served as the Director of Research Support responsible for all grants and contracts from 2016 to 2018 and as the Computer Engineering Program Coordinator from 2014 to 2016. His research interests span cloud computing, edge intelligence, Internet of Things, private and secure networks, and multimedia systems.
Dr. Erbad received the Platinum Award from H.H. The Emir Sheikh Tamim bin Hamad Al Thani at the Education Excellence Day 2013 (Ph.D. Category), the 2020 Best Research Paper Award from Computer Communications, the IWCMC 2019 Best Paper Award, and the IEEE CCWC 2017 Best Paper Award. He is a senior member of ACM.
Aiman Erbad (Senior Member, IEEE) received the B.Sc. degree in computer engineering from the University of Washington, Seattle, WA, USA, in 2004, the Master of Computer Science degree in embedded systems and robotics from the University of Essex, Colchester, U.K, in 2005, and the Ph.D. degree in computer science from the University of British Columbia, Vancouver, BC, Canada, in 2012.
He is an Associate Professor and the Head of Information and Computing Technology Division with the College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar. Prior to this, he was an Associate Professor with the Computer Science and Engineering Department and the Director of Research Planning and Development, Qatar University, Doha, until May 2020. He also served as the Director of Research Support responsible for all grants and contracts from 2016 to 2018 and as the Computer Engineering Program Coordinator from 2014 to 2016. His research interests span cloud computing, edge intelligence, Internet of Things, private and secure networks, and multimedia systems.
Dr. Erbad received the Platinum Award from H.H. The Emir Sheikh Tamim bin Hamad Al Thani at the Education Excellence Day 2013 (Ph.D. Category), the 2020 Best Research Paper Award from Computer Communications, the IWCMC 2019 Best Paper Award, and the IEEE CCWC 2017 Best Paper Award. He is a senior member of ACM.View more
Author image of Amr Mohamed
Department of Computer Science and Engineering, Qatar University, Doha, Qatar
Amr Mohamed (Senior Member, IEEE) received the M.S. and Ph.D. degrees in electrical and computer engineering from The University of British Columbia, Vancouver, BC, Canada, in 2001 and 2006, respectively.
He was an Advisory IT Specialist with the IBM Innovation Centre, Vancouver, from 1998 to 2007, taking a leadership role in systems development for vertical industries. He is currently a Professor and the Head of the Department of Computer Science and Engineering with Qatar University, Doha, Qatar. He has over 25 years of experience in wireless networking research and industrial systems development. He has authored or coauthored over 300 refereed journal and conference papers, textbooks, and book chapters in reputable international journals and conferences and holds six international patents. His research interests include pervasive AI and edge computing for IoT applications and open RAN performance optimization and security.
Prof. Mohamed holds three awards from IBM Canada for his achievements and leadership, and four best paper awards from IEEE conferences. He is serving as a Technical Editor for the Journal of Internet Technology and the International Journal of Sensor Networks. He has served as a Technical Program Committee Co-Chair for workshops in IEEE WCNC’16 and a Co-Chair for Technical Symposia of international conferences, including Globecom’16, Crowncom’15, AICCSA’14, IEEE WLN’11, and IEEE ICT’10. He has served on the organization committee of many other international conferences as a TPC Member, including the IEEE ICC, GLOBECOM, WCNC, LCN, and PIMRC, and a Technical Reviewer for many international IEEE, ACM, Elsevier, Springer, and Wiley journals.
Amr Mohamed (Senior Member, IEEE) received the M.S. and Ph.D. degrees in electrical and computer engineering from The University of British Columbia, Vancouver, BC, Canada, in 2001 and 2006, respectively.
He was an Advisory IT Specialist with the IBM Innovation Centre, Vancouver, from 1998 to 2007, taking a leadership role in systems development for vertical industries. He is currently a Professor and the Head of the Department of Computer Science and Engineering with Qatar University, Doha, Qatar. He has over 25 years of experience in wireless networking research and industrial systems development. He has authored or coauthored over 300 refereed journal and conference papers, textbooks, and book chapters in reputable international journals and conferences and holds six international patents. His research interests include pervasive AI and edge computing for IoT applications and open RAN performance optimization and security.
Prof. Mohamed holds three awards from IBM Canada for his achievements and leadership, and four best paper awards from IEEE conferences. He is serving as a Technical Editor for the Journal of Internet Technology and the International Journal of Sensor Networks. He has served as a Technical Program Committee Co-Chair for workshops in IEEE WCNC’16 and a Co-Chair for Technical Symposia of international conferences, including Globecom’16, Crowncom’15, AICCSA’14, IEEE WLN’11, and IEEE ICT’10. He has served on the organization committee of many other international conferences as a TPC Member, including the IEEE ICC, GLOBECOM, WCNC, LCN, and PIMRC, and a Technical Reviewer for many international IEEE, ACM, Elsevier, Springer, and Wiley journals.View more
Author image of Ahmed Refaey Hussein
School of Engineering, University of Guelph, Guelph, Canada
Ahmed Refaey Hussein (Senior Member, IEEE) received the B.Sc. and M.Sc. degrees from Alexandria University, Alexandria, Egypt, in 2003 and 2005, respectively, and the Ph.D. degree from Laval University, Quebec, QC, Canada, in 2011.
He was a System/Core Network Engineer leading a team of junior engineers and technicians in the telecom field in the three prominent companies of Fujitsu, Vodafone, and Alcatel-Lucent. His positions include a Senior Embedded Systems Architect with the Research and Development Group, Mircom Technologies Ltd., Vaughan, ON, Canada, from 2013 to 2016; a Postdoctoral Fellow with the Department of Electrical and Computer Engineering, Western University, London, ON, Canada, from 2012 to 2013; and a Professional Researcher in the field of wireless communications hardware implementations with the LRTS Laboratory, Laval University, from 2007 to 2011. He is currently an Assistant Professor with the University of Guelph, ON, Canada. He is also an Adjunct Research Professor with Western University. He is the author or the coauthor of more than 80 technical articles, one patent granted, and three patent applications addressing his research activities.
Ahmed Refaey Hussein (Senior Member, IEEE) received the B.Sc. and M.Sc. degrees from Alexandria University, Alexandria, Egypt, in 2003 and 2005, respectively, and the Ph.D. degree from Laval University, Quebec, QC, Canada, in 2011.
He was a System/Core Network Engineer leading a team of junior engineers and technicians in the telecom field in the three prominent companies of Fujitsu, Vodafone, and Alcatel-Lucent. His positions include a Senior Embedded Systems Architect with the Research and Development Group, Mircom Technologies Ltd., Vaughan, ON, Canada, from 2013 to 2016; a Postdoctoral Fellow with the Department of Electrical and Computer Engineering, Western University, London, ON, Canada, from 2012 to 2013; and a Professional Researcher in the field of wireless communications hardware implementations with the LRTS Laboratory, Laval University, from 2007 to 2011. He is currently an Assistant Professor with the University of Guelph, ON, Canada. He is also an Adjunct Research Professor with Western University. He is the author or the coauthor of more than 80 technical articles, one patent granted, and three patent applications addressing his research activities.View more
Author image of Abdulla Khalid Al-Ali
Department of Computer Science and Engineering, Qatar University, Doha, Qatar
Abdulla Khalid Al-Ali (Member, IEEE) received the M.Sc. degree in software design engineering and the Ph.D. degree in computer engineering from Northeastern University, Boston, MA, USA, in 2008 and 2014, respectively.
He is an Associate Professor with the Computer Science and Engineering Department, Qatar University, Doha, Qatar. He is an Active Researcher in the fields of communication, cyber–physical systems security, mHealth, and sensor networks. He has published a number of peer-reviewed papers in journals and conferences and was awarded several funded projects related to his domain in Communications and IoT.
Abdulla Khalid Al-Ali (Member, IEEE) received the M.Sc. degree in software design engineering and the Ph.D. degree in computer engineering from Northeastern University, Boston, MA, USA, in 2008 and 2014, respectively.
He is an Associate Professor with the Computer Science and Engineering Department, Qatar University, Doha, Qatar. He is an Active Researcher in the fields of communication, cyber–physical systems security, mHealth, and sensor networks. He has published a number of peer-reviewed papers in journals and conferences and was awarded several funded projects related to his domain in Communications and IoT.View more
Author image of Mohsen Guizani
Machine Learning Department, Mohamed Bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
Mohsen Guizani (Fellow, IEEE) received the B.S. (with Distinction), M.S., and Ph.D. degrees in electrical and computer engineering from Syracuse University, Syracuse, NY, USA, in 1985, 1987, and 1990, respectively. He is currently a Professor of Machine Learning with the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE. Previously, he worked in different institutions in the USA. He is the author of 11 books, more than 1000 publications and several U.S. patents. His research interests include applied machine learning and artificial intelligence, smart city, Internet of Things, intelligent autonomous systems, and cybersecurity.
Dr. Guizani has won several research awards, including the “2015 IEEE Communications Society Best Survey Paper Award,” the Best ComSoc Journal Paper Award in 2021 as well five Best Paper Awards from ICC and Globecom Conferences. He is also the recipient of the 2017 IEEE Communications Society Wireless Technical Committee Recognition Award, the 2018 AdHoc Technical Committee Recognition Award, and the 2019 IEEE Communications and Information Security Technical Recognition Award. He was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2019, 2020, 2021 and 2022. He served as the Editor-in-Chief for IEEE Network and is currently serving on the Editorial Boards of many IEEE Transactions and Magazines. He was the Chair of the IEEE Communications Society Wireless Technical Committee and the Chair of the TAOS Technical Committee. He served as the IEEE Computer Society Distinguished Speaker and is currently the IEEE ComSoc Distinguished Lecturer.
Mohsen Guizani (Fellow, IEEE) received the B.S. (with Distinction), M.S., and Ph.D. degrees in electrical and computer engineering from Syracuse University, Syracuse, NY, USA, in 1985, 1987, and 1990, respectively. He is currently a Professor of Machine Learning with the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE. Previously, he worked in different institutions in the USA. He is the author of 11 books, more than 1000 publications and several U.S. patents. His research interests include applied machine learning and artificial intelligence, smart city, Internet of Things, intelligent autonomous systems, and cybersecurity.
Dr. Guizani has won several research awards, including the “2015 IEEE Communications Society Best Survey Paper Award,” the Best ComSoc Journal Paper Award in 2021 as well five Best Paper Awards from ICC and Globecom Conferences. He is also the recipient of the 2017 IEEE Communications Society Wireless Technical Committee Recognition Award, the 2018 AdHoc Technical Committee Recognition Award, and the 2019 IEEE Communications and Information Security Technical Recognition Award. He was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2019, 2020, 2021 and 2022. He served as the Editor-in-Chief for IEEE Network and is currently serving on the Editorial Boards of many IEEE Transactions and Magazines. He was the Chair of the IEEE Communications Society Wireless Technical Committee and the Chair of the TAOS Technical Committee. He served as the IEEE Computer Society Distinguished Speaker and is currently the IEEE ComSoc Distinguished Lecturer.View more
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