A QoS-Based Fairness-Aware BBR Congestion Control Algorithm Using QUIC

Han, Yi; Zuo, Mengjie; Yuan, Huijun; Zhong, Yiwen; Yuan, Zhenhui; Bi, Ting

doi:10.1155/2022/7222030

Cited by 7 publications

(2 citation statements)

References 27 publications

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“…In recent years, research on QUIC has gradually increased. Han et al [12] proposed an enhanced eBCC algorithm, an improved BBR algorithm that achieves low latency and high throughput in low-bandwidth scenarios. Moulay et al [13] compared the performance of QUIC and HTTP/3 in multiple static networks and mobile cellular scenarios.…”

Section: Related Workmentioning

confidence: 99%

Retracted: Anomaly detection with ensemble empirical mode decomposition and approximate entropy for quick user datagram protocol internet connection‐based distributed Blockchain systems

Cao

et al. 2023

IET Software

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With the vigorous development of mobile Internet and Blockchain, the rapid and secure interaction of high-frequency data in the era of data explosion has gradually become an urgent need for people. Quick User Datagram Protocol Internet Connection Protocol (QUIC) can be perfectly integrated into the Blockchain due to its low latency and high security, providing a safe and reliable transmission service for the Blockchain system. However, QUIC-based distributed Blockchain systems are vulnerable to cyberattacks due to asymmetric encryption and timestamp, which seriously impacts security and fairness. Therefore, based on the self-similarity of QUIC network traffic, this study proposes an anomaly detection model for QUIC network traffic based on Ensemble Empirical Mode Decomposition and Approximate Entropy. The model obtains several intrinsic mode functions and a residual term by decomposing the network traffic, introducing Approximate Entropy to judge the complexity of each component, and using the Hurst parameter to determine the generation of abnormal traffic. Compared with traditional detection methods, the model can effectively overcome the problems of poor adaptive ability and low efficiency and has high accuracy, which can be used for attack detection and prevention of network nodes. K E Y W O R D S computer network security, data flow analysis, software reliability, transport protocols 1 | INTRODUCTION Blockchain technology is an integrated and innovative application of various IT technologies. It is a technical solution for storing, verifying, transmitting, and exchanging network data without relying on a third party and its distributed nodes. It has two core characteristics: data is difficult to tamper with and decentralisation. Based on these two characteristics, the information recorded by the Blockchain is more authentic and reliable, which can help solve the problem of people's mutual distrust [1, 2]. It solves the problem of data trust and security through distributed ledgers, consensus mechanisms, smart contracts, authorisation, and encryption [3]. In recent years, Blockchain technology is continuously empowering various fields. Figure 1 shows a 5G wireless network and Blockchainbased network architecture. The architecture collects real-time data through the Internet of Things and uploads the data and events to the Blockchain platform, enabling secure scheduling of terminal devices connected to the 5G network [4]. Integrating 5G and Blockchain technology will open the era of inter-chain integration, which can provide an efficient, safe, and fast service experience. With the continuous development This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Related Workmentioning

confidence: 99%

Retracted: Anomaly detection with ensemble empirical mode decomposition and approximate entropy for quick user datagram protocol internet connection‐based distributed Blockchain systems

Cao

et al. 2023

IET Software

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“…Various studies have been conducted on congestion control competition in the transport layer. Y. Han et al [6] focus on fairness in the same congestion control in QUIC. When multiple BBR share a bottleneck link, excessive packet loss occurs, which will cause a loss of fairness.…”

Section: Related Workmentioning

confidence: 99%

Fairness Improvement Method Using Explicit Congestion Notification for QUIC

Uchida,

Nobayashi,

Cavendish

et al. 2024

IEICE Commun. Express

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QUIC is a transport protocol that adds congestion control, retransmission control, and TLS to UDP. QUIC can use the same congestion control algorithms as TCP. In previous work, we have shown that communication performance becomes unfair concerning the buffer size of the shared bottleneck link of two flows, one using CUBIC and the other BBR congestion control algorithms within QUIC. In this study, we improve the communication fairness performance at different bottleneck link buffer sizes by using Round Trip Time (RTT) and Explicit Congestion Notification (ECN) to regulate congestion control aggressiveness when CUBIC and BBR compete within QUIC through actual experiments.

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Anomaly Detection with Ensemble Empirical Mode Decomposition for Secure QUIC Communications: A Simple Use Case

Jiang

et al. 2023

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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A QoS-Based Fairness-Aware BBR Congestion Control Algorithm Using QUIC

Cited by 7 publications

References 27 publications

Retracted: Anomaly detection with ensemble empirical mode decomposition and approximate entropy for quick user datagram protocol internet connection‐based distributed Blockchain systems

Retracted: Anomaly detection with ensemble empirical mode decomposition and approximate entropy for quick user datagram protocol internet connection‐based distributed Blockchain systems

Fairness Improvement Method Using Explicit Congestion Notification for QUIC

Anomaly Detection with Ensemble Empirical Mode Decomposition for Secure QUIC Communications: A Simple Use Case

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