  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.
