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Raptor Encoding for Low-Latency Concurrent Multi-PDU Session Transmission with Security Consideration in B5G Edge Network

Zhongfu Guo, Xinsheng Ji, Wei You, Mingyan Xu, Yu Zhao, Zhimo Cheng, Deqiang Zhou

TL;DR

This work addresses secure and low-latency end-to-end transmission for DIEN in B5G edge networks under random data arrivals and potential passive eavesdroppers. It proposes SCLER, a Raptor coded multi-path scheme at the PDU session layer with a queue length aware variable block length encoder and a CMDP based optimizer that yields a threshold based policy for the delay-reliability-security trade-off. Key contributions include a novel threat model for passive attackers across multiple PDU sessions, a two stage Raptor encoding mechanism, CMDP formulation with LP solution, and a threshold based strategy that limits data leakage while minimizing latency. The results demonstrate reduced data leakage risks and an effective delay-reliability-security balance, with practical applicability to current mobile networks.

Abstract

In B5G edge networks, end-to-end low-latency and high-reliability transmissions between edge computing nodes and terminal devices are essential. This paper investigates the queue-aware coding scheduling transmission of randomly arriving data packets, taking into account potential eavesdroppers in edge networks. To address these concerns, we introduce SCLER, a Protocol Data Units (PDU) Raptor-encoded multi-path transmission method that overcomes the challenges of a larger attack surface in Concurrent Multipath Transfer (CMT), excessive delay due to asymmetric delay\&bandwidth, and lack of interaction among PDU session bearers. We propose a secure and reliable transmission scheme based on Raptor encoding and distribution that incorporates a queue length-aware encoding strategy. This strategy is modeled using Constrained Markov Decision Process (CMDP), and we solve the constraint optimization problem of optimal decision-making based on a threshold strategy. Numerical results indicate that SCLER effectively reduces data leakage risks while achieving the optimal balance between delay and reliability, thereby ensuring data security. Importantly, the proposed system is compatible with current mobile networks and demonstrates practical applicability.

Raptor Encoding for Low-Latency Concurrent Multi-PDU Session Transmission with Security Consideration in B5G Edge Network

TL;DR

This work addresses secure and low-latency end-to-end transmission for DIEN in B5G edge networks under random data arrivals and potential passive eavesdroppers. It proposes SCLER, a Raptor coded multi-path scheme at the PDU session layer with a queue length aware variable block length encoder and a CMDP based optimizer that yields a threshold based policy for the delay-reliability-security trade-off. Key contributions include a novel threat model for passive attackers across multiple PDU sessions, a two stage Raptor encoding mechanism, CMDP formulation with LP solution, and a threshold based strategy that limits data leakage while minimizing latency. The results demonstrate reduced data leakage risks and an effective delay-reliability-security balance, with practical applicability to current mobile networks.

Abstract

In B5G edge networks, end-to-end low-latency and high-reliability transmissions between edge computing nodes and terminal devices are essential. This paper investigates the queue-aware coding scheduling transmission of randomly arriving data packets, taking into account potential eavesdroppers in edge networks. To address these concerns, we introduce SCLER, a Protocol Data Units (PDU) Raptor-encoded multi-path transmission method that overcomes the challenges of a larger attack surface in Concurrent Multipath Transfer (CMT), excessive delay due to asymmetric delay\&bandwidth, and lack of interaction among PDU session bearers. We propose a secure and reliable transmission scheme based on Raptor encoding and distribution that incorporates a queue length-aware encoding strategy. This strategy is modeled using Constrained Markov Decision Process (CMDP), and we solve the constraint optimization problem of optimal decision-making based on a threshold strategy. Numerical results indicate that SCLER effectively reduces data leakage risks while achieving the optimal balance between delay and reliability, thereby ensuring data security. Importantly, the proposed system is compatible with current mobile networks and demonstrates practical applicability.
Paper Structure (20 sections, 27 equations, 9 figures, 2 tables, 2 algorithms)

This paper contains 20 sections, 27 equations, 9 figures, 2 tables, 2 algorithms.

Table of Contents

  1. Introduction
  2. Related Work
  3. B5G SCLER Preliminary
  4. Edge Network Intrusion Probability for Multiple PDU Sessions
  5. Physically Isolated Multi-Access PDU Session Establish procedure
  6. System Model
  7. Encoding Transmission Model
  8. Threat Analysis and SCLER Encoding Principle
  9. Threat Analysis
  10. SCLER Encoding Principle
  11. Secure and Reliable Function and Queuing Model
  12. Trade-off Delay-Security For Variable Block-Length SCLER Strategy
  13. Constrained Markov Decision Process Formulation
  14. The Optimal Delay-Reliability Trade-off under SCLER
  15. The threshold-based Strategy
  16. ...and 5 more sections

Figures (9)

  • Figure 1: Enhanced Core Network for end-to-end redundant user plane paths using Diversity Interface PDU sessions.
  • Figure 2: System Diagram.
  • Figure 3: UE-requested physically isolated multi-access PDU session establishment procedure for B5G. (See Appendix A)
  • Figure 4: SCLER Scheme
  • Figure 5: Number of $Ps$ decoded versus number of $Pc$ received for Receivers.
  • ...and 4 more figures