Packet Key-Based End-to-End Security Management on a Blockchain Control Plane

Jung, Younchan; Peradilla, Marnel; Agulto, Ronnel

doi:10.3390/s19102310

Cited by 18 publications

(14 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a solution to the Byzantine Generals Problem, PBFT could achieve the final consensus among honest nodes while the number of enemies was no more than 1/3 of the total number of nodes. Jung et al [ 24 ] proposed a new common algorithm: Mixed Byzantine Fault Tolerance (MBFT). Functionally, MBFT partitions the nodes participating in the consensus process and improves scalability and efficiency without sacrificing security.…”

Section: Background and Related Studiesmentioning

confidence: 99%

See 1 more Smart Citation

A Lightweight Hybrid Deep Learning Privacy Preserving Model for FC-Based Industrial Internet of Medical Things

Almaiah

Ali

Hajjej

et al. 2022

Sensors

View full text Add to dashboard Cite

The Industrial Internet of Things (IIoT) is gaining importance as most technologies and applications are integrated with the IIoT. Moreover, it consists of several tiny sensors to sense the environment and gather the information. These devices continuously monitor, collect, exchange, analyze, and transfer the captured data to nearby devices or servers using an open channel, i.e., internet. However, such centralized system based on IIoT provides more vulnerabilities to security and privacy in IIoT networks. In order to resolve these issues, we present a blockchain-based deep-learning framework that provides two levels of security and privacy. First a blockchain scheme is designed where each participating entities are registered, verified, and thereafter validated using smart contract based enhanced Proof of Work, to achieve the target of security and privacy. Second, a deep-learning scheme with a Variational AutoEncoder (VAE) technique for privacy and Bidirectional Long Short-Term Memory (BiLSTM) for intrusion detection is designed. The experimental results are based on the IoT-Botnet and ToN-IoT datasets that are publicly available. The proposed simulations results are compared with the benchmark models and it is validated that the proposed framework outperforms the existing system.

show abstract

Section: Background and Related Studiesmentioning

confidence: 99%

“…A blockchain and fog network [ 24 ] connects the Internet of Medical Things (IoMT) and fog nodes (FN) (IoMT-Fog). Distributed technology can deliver on-demand services by combining high performance and low latency (LL).…”

Section: Proposed Frameworkmentioning

confidence: 99%

A Lightweight Hybrid Deep Learning Privacy Preserving Model for FC-Based Industrial Internet of Medical Things

Almaiah

Ali

Hajjej

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…The Blockchain operates between two end-to-end peer servers in a distributed or centralized controller. Thus, this idea has advantageous effects on end-to-end security management by reducing the complexity of the system deployment and latency taken for the end-to-end secure session setup [26]. In addition, SDN controllers are expected to handle the control traffic coming from C-RANs.…”

Section: Related Workmentioning

confidence: 99%

A blockchain-based trust management system for 5G network slicing enabled C-RAN

Baktayan

Al-Baltah

2022

Sustainable Engineering and Innovation

View full text Add to dashboard Cite

The mobility nature of the wireless networks and the time-sensitive tasks make it necessary for the system to transfer the messages with a minimum delay. Cloud Radio Access Network (C-RAN) reduces the latency problem. However, due to the trustlessness of 5G networks resulting from the heterogeneity nature of devices. In this article, for the edge devices, there is a need to maintain a trust level in the C-RAN node by checking the rates of devices that are allowed to share data among other devices. The SDN controller is built into a macro-cell that plays the role of a cluster head. The blockchain-based automatically authenticates the edge devices by assigning a unique identification that is shared by the cluster head with all C-RAN nodes connected to it. Simulation results demonstrate that, compared with the benchmark, the proposed approach significantly improves the processing time of blocks, the detection accuracy of malicious nodes, and transaction transmission delay.

show abstract

“…Since security is considered as one of the fatal points of IoT and recently Block Chain has drawn a lot of attention, research efforts to combine Block Chain into IoT systems have been made. A paper in this Special Issue, titled “Packet Key-Based End-to-End Security Management on a Blockchain Control Plane” [6], proposes such a method to use Block Chain for IoT systems. It proposes a packet key-based security management scheme over the blockchain control plane to improve the current session key-based security system, so that it can overcome the limitation that the existing vertical model confronts in solving end-to-end security management.…”

Section: Contributionsmentioning

confidence: 99%