BLOWN: A Blockchain Protocol for Single-Hop Wireless Networks Under Adversarial SINR

Zhao, Feng; Zou, Yifei; Liu, Chunchi; Cheng, Xiuzhen; Dressler, Falko

doi:10.1109/tmc.2022.3162117

Cited by 22 publications

(13 citation statements)

References 44 publications

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“…Moreover, pseudo‐random time‐hopping anti‐jamming schemes and detection mechanisms based on focused resource allocation and network monitoring can be added to FHSS to further improve its safety. In addition, novel two‐phase Blockchain consensus protocols 71 have been also proposed to establish a jamming‐resistant wireless communication in network environments where nodes have limited physical resources and fall short of well‐established reliable channels.…”

Section: Proposed “Blocksd‐5gnet” Architecture For 5g Networkmentioning

confidence: 99%

BlockSD‐5GNet: Enhancing security of 5G network through blockchain‐SDN with ML‐based bandwidth prediction

Rahman,

Khan,

Montieri

et al. 2024

Trans Emerging Tel Tech

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The fifth generation (5G) of mobile communications is the most exciting emerging technology for researchers and scientists to get the full benefit of a network system. However, 5G networks confront massive threats and vulnerabilities including protection, privacy, and secrecy. To face these challenges in the increasingly interconnected Internet of Things (IoT) scenario, we aim to leverage state‐of‐the‐art technologies as software defined networking (SDN) in conjunction with network function virtualization (NFV), blockchain, and machine learning (ML). Indeed, these technologies convey a robust and secure setting in the networking platform enabling to manage several criticalities related to security, privacy, flexibility, and performance. In light of these considerations, in this article, we propose the “BlockSD‐5GNet” architecture to efficiently improve the security of a 5G network and to exploit the combined advantages of Blockchain, SDN, NFV, and ML. In the proposed architecture, the SDN helps to manage the network by dividing it into data plane and control plane, while the Blockchain guarantees improved security and confidentiality. Therefore, the “BlockSD‐5GNet” architecture can both secure sensitive data and attain reliable data transfer within and between the 5G network‐infrastructure planes. Additionally, an ML module is integrated into the SDN controller to estimate network bandwidth and assist the administrator in taking effective decisions and satisfying high‐bandwidth demand. We assess the performance of the “BlockSD‐5GNet” architecture via an experimental evaluation performed in a simulation environment, and show the effectiveness of the proposed solution in comparison with baseline schemes. Finally, we also demonstrate the capability of different ML models in bandwidth prediction.

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Section: Proposed “Blocksd‐5gnet” Architecture For 5g Networkmentioning

confidence: 99%

BlockSD‐5GNet: Enhancing security of 5G network through blockchain‐SDN with ML‐based bandwidth prediction

Rahman,

Khan,

Montieri

et al. 2024

Trans Emerging Tel Tech

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“…The certificate is passed to the client, which is then sent to a peer in the network. The peer authenticates the user by running the smart contract, which contains information about the user/doctors, action attribute, object attributes, and contextual and subject attributes ( Xu et al, 2021 ). That validates the certificate and returns a response.…”

Section: Iot Founded Health Monitoring Of Patientsmentioning

confidence: 99%

Efficient data transmission on wireless communication through a privacy-enhanced blockchain process

Aluvalu

Thirumalaisamy

et al. 2023

PeerJ Computer Science

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In the medical era, wearables often manage and find the specific data points to check important data like resting heart rate, ECG voltage, SPO2, sleep patterns like length, interruptions, and intensity, and physical activity like kind, duration, and levels. These digital biomarkers are created mainly through passive data collection from various sensors. The critical issues with this method are time and sensitivity. We reviewed the newest wireless communication trends employed in hospitals using wearable technology and privacy and Block chain to solve this problem. Based on sensors, this wireless technology controls the data gathered from numerous locations. In this study, the wearable sensor contains data from the various departments of the system. The gradient boosting method and the hybrid microwave transmission method have been proposed to find the location and convince people. The patient health decision has been submitted to hybrid microwave transmission using gradient boosting. This will help to trace the mobile phones using the calls from the threatening person, and the data is gathered from the database while tracing. From this concern, the data analysis process is based on decision-making. They adapted the data encountered by the detailed data in the statistical modeling of the system to produce exploratory data analysis for satisfying the data from the database. Complete data is classified with a 97% outcome by removing unwanted data and making it a 98% successful data classification.

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“…For example, in Refs. [13][14][15][16], miners achieve the consensus with a Proof-of-Communication (PoC) scheme based on the physical interference communication model. Specifically, after considering the collision, interference, and failure in the wireless channel, the devices in Refs.…”

Section: Introductionmentioning

confidence: 99%

“…[13,14] adapt their transmission probability by statistically randomized algorithms and the tree structures are built in Refs. [15,16], both providing reliable communications between devices. A PoC scheme is then adopted by devices to achieve the consensus.…”

Section: Introductionmentioning

confidence: 99%

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Optimized Consensus for Blockchain in Internet of Things Networks via Reinforcement Learning

Zou

Jin

Zheng

et al. 2023

Tsinghua Sci. Technol.

Self Cite

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Most blockchain systems currently adopt resource-consuming protocols to achieve consensus between miners; for example, the Proof-of-Work (PoW) and Practical Byzantine Fault Tolerant (PBFT) schemes, which have a high consumption of computing/communication resources and usually require reliable communications with bounded delay. However, these protocols may be unsuitable for Internet of Things (IoT) networks because the IoT devices are usually lightweight, battery-operated, and deployed in an unreliable wireless environment. Therefore, this paper studies an efficient consensus protocol for blockchain in IoT networks via reinforcement learning. Specifically, the consensus protocol in this work is designed on the basis of the Proof-of-Communication (PoC) scheme directly in a single-hop wireless network with unreliable communications. A distributed MultiAgent Reinforcement Learning (MARL) algorithm is proposed to improve the efficiency and fairness of consensus for miners in the blockchain system. In this algorithm, each agent uses a matrix to depict the efficiency and fairness of the recent consensus and tunes its actions and rewards carefully in an actor-critic framework to seek effective performance. Empirical results from the simulation show that the fairness of consensus in the proposed algorithm is guaranteed, and the efficiency nearly reaches a centralized optimal solution.

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BLOWN: A Blockchain Protocol for Single-Hop Wireless Networks Under Adversarial SINR

Cited by 22 publications

References 44 publications

BlockSD‐5GNet: Enhancing security of 5G network through blockchain‐SDN with ML‐based bandwidth prediction

BlockSD‐5GNet: Enhancing security of 5G network through blockchain‐SDN with ML‐based bandwidth prediction

Efficient data transmission on wireless communication through a privacy-enhanced blockchain process

Optimized Consensus for Blockchain in Internet of Things Networks via Reinforcement Learning

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