The need to satisfy the line rate and deterministic latency requirements of next generation industrial networks is imperative for blistering 400G/800G Ethernet backbones, optical transport networks, and breaking new ground in 5G/6G infrastructures. Animals News: Other solutions limit attention towards detection accuracy or throughput separately without providing a discriminative systems-level architecture, leaving out bounded latency, scalable security as well as hardware-efficient adaptivity in an adversarial environment. We present a latency-constrained hardware-pipelined co-design framework, dubbed High Speed Secure Networking Architecture (HSSNA), capable of integrating probabilistic pre-filtering, adaptive lightweight cryptography, neural anomaly inference, and SDN-based routing into a single deterministic processing graph. In contrast to compositional security stacks, HSSNA defines the security-performance coupling as a constrained optimization problem that seeks to minimize the total processing delay without sacrificing the robustness of intrusion detection. Our contributions include (1) cross-layer security orchestration, which is embedded within the data path, (2) provable adversarial resilience guarantees, as a result of formally defined security properties, and (3) a parallel FPGA–GPU execution pipeline, which also removes sequential security bottlenecks. Through experiments conducted on a hybrid Mininet–NS3–FPGA/GPU testbed, we observe 60–77% lower latency, > 190 Gbps more throughput, and better robustness to real-time detection compared to conventional CPU-centric deployments. Our results prove HSSNA is systems-level re-architecture, high-speed secure networking, not a composition of prior art tools.
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Abdulbasid S. Banga (Thu,) studied this question.
synapsesocial.com/papers/69abc2355af8044f7a4eb8b1 — DOI: https://doi.org/10.14569/ijacsa.2026.0170247
Abdulbasid S. Banga
Saudi Electronic University
International Journal of Advanced Computer Science and Applications
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