Securing ZigBee Communications Against Constant Jamming Attack Using Neural Network

Pirayesh, Hossein; Sangdeh, Pedram Kheirkhah; Zeng, Huacheng

doi:10.1109/jiot.2020.3034128

Cited by 34 publications

(13 citation statements)

References 27 publications

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“…In [40], Pirayesh et al (2021) proposed a ZigBee receiver based on MIMO against jamming attacks for IoT networks. This work designed a prototype of the ZigBee receiver based on MIMO technology and a learning mechanism to mitigate the unknown interference.…”

Section: Zigbeementioning

confidence: 99%

Wireless Communication Technologies for IoT in 5G: Vision, Applications, and Challenges

Quy

Hoai

Manh

et al. 2022

Wireless Communications and Mobile Computing

125

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Communication technologies are developing very rapidly and achieving many breakthrough results. The advent of 5th generation mobile communication networks, the so-called 5G, has become one of the most exciting and challenging topics in the wireless study area. The power of 5G enables it to connect to hundreds of billions of devices with extreme-high throughput and extreme-low latency. The 5G realizing a true digital society where everything can be connected via the Internet, well known as the Internet of Things (IoT). IoT is a technology of technologies where humans, devices, software, solutions, and platforms can connect based on the Internet. The formation of IoT technology leads to the birth of a series of applications and solutions serving humanity, such as smart cities, smart agriculture, smart retail, intelligent transportation systems, and IoT ecosystems. Although IoT is considered a revolution in the evolution of the Internet, it still faces a series of challenges such as saving energy, security, performance, and QoS support. In this study, we provide a vision of the Internet of Things that will be the main force driving the comprehensive digital revolution in the future. The communication technologies in the IoT system are discussed comprehensively and in detail. Furthermore, we also indicated indepth challenges of existing common communication technologies in IoT systems and future research directions of IoT. We hope the results of this work can provide a vital guide for future studies on communication technologies for IoT in 5G.

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Section: Zigbeementioning

confidence: 99%

Wireless Communication Technologies for IoT in 5G: Vision, Applications, and Challenges

Quy

Hoai

Manh

et al. 2022

Wireless Communications and Mobile Computing

125

View full text Add to dashboard Cite

show abstract

“…[139] Designed the energy depletion attack on ZigBee networks. [140] Proposed cross technology jamming attack on ZigBee communications Anti-jamming techniques [141] Proposed a MIMO-based receiver using machine learning to cancel the jamming and decode the desired signal. [142] Evaluated conventional DSSS performance against interference and jamming signals.…”

Section: Ref Descriptionmentioning

confidence: 99%

“…In [141], Pirayesh et al proposed a MIMO-based jammingresilient receiver to secure ZigBee communications against constant jamming attack. They employed an online learning approach for a multi-antenna ZigBee receiver to mitigate unknown jamming signal and recover ZigBee signal.…”

Section: Anti-jamming Techniquesmentioning

confidence: 99%

Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey

Pirayesh¹,

Zeng²

2021

Preprint

Self Cite

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Wireless networks are a key component of the telecommunications infrastructure in our society, and wireless services become increasingly important as the applications of wireless devices have penetrated every aspect of our lives. Although wireless technologies have significantly advanced in the past decades, most wireless networks are still vulnerable to radio jamming attacks due to the openness nature of wireless channels, and the progress in the design of jamming-resistant wireless networking systems remains limited. This stagnation can be attributed to the lack of practical physical-layer wireless technologies that can efficiently decode data packets in the presence of jamming attacks. This article surveys existing jamming attacks and anti-jamming strategies in wireless local area networks (WLANs), cellular networks, cognitive radio networks (CRNs), ZigBee networks, Bluetooth networks, vehicular networks, LoRa networks, RFID networks, and GPS system, with the objective of offering a comprehensive knowledge landscape of existing jamming/anti-jamming strategies and stimulating more research efforts to secure wireless networks against jamming attacks. Different from prior survey papers, this article conducts a comprehensive, in-depth review on jamming and anti-jamming strategies, casting insights on the design of jamming-resilient wireless networking systems. An outlook on promising antijamming techniques is offered at the end of this article to delineate important research directions.

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“…Among the wireless communication protocols, IEEE 802.15.4-based ZigBee has recently attracted a lot of attention and has become the most popular IoMT-based healthcare solution due to its low cost and low power consumption [ 5 , 6 , 7 , 8 ]. ZigBee’s worldwide standard uses the ISM 2.4 GHz frequency band and has a defined rate of 250 kb/s, which make it best suited for periodic data transmission [ 9 , 10 ]. In some chronic disease cases, such as hypertension and diabetes, IoMT-transmitted data typically comprise periodical signals that have relatively low data rates [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Inter-Multilevel Super-Orthogonal Space–Time Coding Scheme for Reliable ZigBee-Based IoMT Communications

Alkhaleefah

Chang

et al. 2022

Sensors

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The Internet of Things (IoT) technology has revolutionized the healthcare industry by enabling a new paradigm for healthcare delivery. This paradigm is known as the Internet of Medical Things (IoMT). IoMT devices are typically connected via a wide range of wireless communication technologies, such as Bluetooth, radio-frequency identification (RFID), ZigBee, Wi-Fi, and cellular networks. The ZigBee protocol is considered to be an ideal protocol for IoMT communication due to its low cost, low power usage, easy implementation, and appropriate level of security. However, maintaining ZigBee’s high reliability is a major challenge due to multi-path fading and interference from coexisting wireless networks. This has increased the demand for more efficient channel coding schemes that can achieve a more reliable transmission of vital patient data for ZigBee-based IoMT communications. To meet this demand, a novel coding scheme called inter-multilevel super-orthogonal space–time coding (IM-SOSTC) can be implemented by combining the multilevel coding and set partitioning of super-orthogonal space–time block codes based on the coding gain distance (CGD) criterion. The proposed IM-SOSTC utilizes a technique that provides inter-level dependency between adjacent multilevel coded blocks to facilitate high spectral efficiency, which has been compromised previously by the high coding gain due to the multilevel outer code. In this paper, the performance of IM-SOSTC is compared to other related schemes via a computer simulation that utilizes the quasi-static Rayleigh fading channel. The simulation results show that IM-SOSTC outperforms other related coding schemes and is capable of providing the optimal trade-off between coding gain and spectral efficiency whilst guaranteeing full diversity and low complexity.

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Securing ZigBee Communications Against Constant Jamming Attack Using Neural Network

Cited by 34 publications

References 27 publications

Wireless Communication Technologies for IoT in 5G: Vision, Applications, and Challenges

Wireless Communication Technologies for IoT in 5G: Vision, Applications, and Challenges

Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey

Inter-Multilevel Super-Orthogonal Space–Time Coding Scheme for Reliable ZigBee-Based IoMT Communications

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