Employing Game Theory and TDMA Protocol to Enhance Security and Manage Power Consumption in WSNs-Based Cognitive Radio
Open accessAbstract
The rapid development of wireless sensor networks (WSNs) is a significant incentive to contribute to vulnerable applications such as cognitive radio (CR). This paper proposes a Stackelberg game approach to enhance the WSN-based CR security against the spectrum sensing data falsification (SSDF) attack and conserve the consequently lost power consumption. The attack aims to corrupt the spectrum decision by imposing interference power to the delivered reports from the sensor nodes (SNs) to the fusion center (FC) to make a protection level below a specific threshold. The proposed model utilizes the intelligent Stackelberg game features along with the matched filter (MF) to maximize the number of protected reports sent by the SNs to the FC leading to an accurate decision of the spectrum status. Furthermore, the TDMA protocol is utilized to resolve the complexity of employing MF for the spectrum detection to avoid the collision between the delivered reports. The proposed model aims to enhance the number of correctly received reports at the FC, and hence manage the lost energy of reports retransmission due to the malicious attack effect. Moreover, the model can conserve the lost power of the failed communication attempts due to the SSDF attack impact. Simulation results indicate the improved performance of the proposed protection model along with the MF over six different environments against the SSDF attack as compared to two defense schemes, namely, random and equal weight defense strategies.
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IDS sees the game between attackers and defenders for IoT and WSN as being simulated either via their interaction or the use of an attacker's forecasting approach.
“IDS sees the game between attackers and defenders for IoT and WSN as being simulated either via their interaction or the use of an attacker's forecasting approach [13] [12] [14] [15].”
From Comparative Analysis of Intrusion Detection Systems and Machine Learning Based Model Analysis through Decision Tree (2023) · cites this paper as [12]
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- MOHAMED S. ABDALZAHER (S'015-M'16) received the B.Sc. degree (Hons.) in electron- ics and communications engineering, in 2008, the M.Sc. degree from Ain Shams University in Electronics and Communications Engineering, Cairo, Egypt, in 2012, and the Ph.D. degree from the Electronics and Communications Engineering Department, Egypt-Japan University of Science and Technology (E-JUST), in 2016. He was a special Research Student with Kyushu Univer- sity, from 2015 to 2016. In April 2019, he has joined the Center for Japan-Egypt Cooperation in Science and Technology, Kyushu University, Japan, where he is currently a Postdoctoral Researcher. He is also an Assistant Professor with the National Research Institute of Astronomy and Geophysics (NRIAG). His research interests include data communication networks, wireless communications, WSNs security, the IoT, and deep learning. He is a TPC with Vehicular Technology Conference and with International Japan-Africa Conference on Electronics, Communications and Computers (JAC-ECC) and a Reviewer of the IEEE INTERNET OF THINGS JOURNAL, IEEE ACCESS, and IET Journals.
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A Game-Theoretic Approach for Enhancing Security and Data Trustworthiness in IoT Applications
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Self-citation
- Authors
- Abdalzaher, M. S., & Muta, O.
- Affiliations
- National Research Institute of Astronomy and Geophysics (EG)
- Kyushu University (JP)
- Venue
- IEEE Access
- Published
- 2019
- Volume
- 7
- Pages
- 132923-132936
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2974097510
- Cited by
- 45
- References
- 47
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 7 · 2023: 12 · 2022: 14 · 2021: 3 · 2020: 6
- FWCI
- 3.15
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- arXiv (Cornell University)
- Funders
- Japan-Society-for-the-Promotion-of-Science (JSPS) KAKENHI ((JP17K06427))
- Egypt-Japan Initiation for Education
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Cognitive Radio Networks and Spectrum Sensing
- Physical Sciences › Computer Science › Computer Networks and Communications › Security in Wireless Sensor Networks
- Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
- Keywords
- cognitive radio, wireless sensor networks, Stackelberg game, spectrum sensing data falsification attack, TDMA protocol, matched filter, spectrum sensing security, power consumption, fusion center, defense strategy
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