Searching for endorsement on arxiv (cs.CR/cs.LG)

I am a 2nd-year Software Engineering undergraduate from Malaysia, and I am seeking an arXiv endorsement to publish my recent work in cs.CR (Cryptography and Security) and cs.LG (Machine Learning).

My research introduces AEGIS , an adversarial network anomaly detection system that completely discards payload inspection. Instead, it utilizes 6-dimensional continuous-time flow physics to mathematically expose advanced cryptographic mimicry (such as VLESS Reality and GhostBear) and automated C2 tunnels.

This research presents a novel architectural approach by fusing Hyperbolic Poincaré embeddings with Liquid Time-Constants, processed through a linear-time Mamba-3 core to evaluate traffic at sub-millisecond line-rates.

Key Empirical Results (evaluated on a 400GB zero-trust adversarial corpus):

• F1-Score: 0.9952 (AUC: 0.9998)

• True Positive Rate: 99.50% against zero-day evasion

• Inference Latency: 262μs (bare-metal RTX 4090)

The paper is published under CC BY 4.0 and the full 10GB flow-physics dataset is publicly available. Manuscript available on request.

Preprint (ResearchGate): doi.org/10.13140/RG.2.2.31561.51040

Dataset : Vix0007 @ HuggingFace

If anyone with endorsement privileges in cs. would be willing to review my methodology, I would be incredibly grateful.

cs.CR: https://arxiv.org/auth/endorse?x=CNPVKN

cs.LG: IMRASY

Thank you for your time and support of independent research.

Vickson Ferrel @ Vixero Technology Enterprise | UNIMAS, Malaysia | ORCID: 0009-0009-0155-0913