ROSE+ : A robustness-optimized security scheme against cascading failures in multipath TCP under LDDoS attack streams

Date published

2024-12-17

Free to read from

2025-04-22

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IEEE

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Conference paper

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Citation

Nie J, Ji L, Jiang Y, et al., (2024) ROSE+ : A robustness-optimized security scheme against cascading failures in multipath TCP under LDDoS attack streams. In: 2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 17-21 December 2024, Sanya, China

Abstract

Multipath TCP leverages parallel data transmission across multiple paths to improve transmission rates, reliability, and resource utilization. However, Multipath TCP faces severe network security and communication reliability challenges when exposed to low-rate distributed denial-of-service (LDDoS) attacks. In this paper, we propose a robustness optimization security scheme against cascading failures in Multipath TCP (ROSE+) to tackle the challenges posed by Low-rate Distributed Denial of Service (LDDoS) attacks on network security and communication reliability. The scheme integrates the intricate network load-capacity cascading failures model and leverages the unique characteristics of multipath TCP to facilitate the redistribution of load traffic at ineffectiveness nodes, thereby alleviating the cascading failures induced by LDDoS attack streams. Additionally, we optimize the robustness of communication transmission systems by devising a load-capacity cascading failures model. The experimental results demonstrate that the scheme reduces the probability of cascading failures by 20.07%. This research provides new ideas and methods to improve the robustness and destruction resistance of multipath TCP transmission.

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Software Language

Github

Keywords

4606 Distributed Computing and Systems Software, 46 Information and Computing Sciences, 4604 Cybersecurity and Privacy

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Attribution 4.0 International

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Funder/s

National Natural Science Foundation of China
This work was supported in part by the National Natural Science Foundation of China under Grant No. 61962026 and in part by the Natural Science Foundation of Jiangxi Province under Grant No. 20224ACB202007.