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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Van-Hau Pham

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Conference Aug 2026

Verifiable AI Reviewers: Decentralized Skill Matching and Soulbound Reputation for Multi-Agent Peer Review

The accelerating volume of scholarly submissions has intensified the reviewer-expertise mismatch problem. While large language model (LLM) agents are proposed as automated reviewers, their integration into decentralized systems remains blocked by the computational opacity of state-of-the-art (SOTA) semantic models. Thi...

T. Trong, B. Huynh, Nhi Ngọc Uyển Huỳnh et al. · 0 citations
Conference Aug 2026

A Class-incremental and Few-shot learning model for Intrusion detection under Concept drift

Network Intrusion Detection Systems (NIDS) based on machine learning must evolve after deployment to promptly detect emerging threats from only a few labeled samples, without catastrophically forgetting known attacks or degrading under concept drift. Existing methods address these issues in isolation, lacking a unified...

Cao Phan Xuan Qui, Le Quoc Ngo, Duy The Phan et al. · 0 citations
Conference Aug 2026

PRECISE: Precision-Driven Discovery of Token-centric MEV

Token-centric maximal extractable value (tMEV) arises when token supply-control behavior interacts with exchanges whose pricing ignores particular balance updates. Existing analyses face state explosion, missing deep inter-transaction paths or producing false positives. PRECISE combines token-level static filtering, fo...

Dinh-Khang Nguyen, Huynh-Nhu Nguyen Thi, Bich-Nhu Hong et al. · 0 citations
Aug 2026

Evaluating the Robustness and Transferable Adversarial Example Resistance of Multimodal Learning-based Intrusion Detection Systems against Evasion Attacks

This study evaluates the robustness of multimodal learning-based IDS against transferable adversarial examples (AEs) generated by Generative Adversarial Networks (GANs) and integrates adversarial training techniques to enhance the IDS’s capability to identify attack patterns with small perturbations.

Duy The Phan, Cao The Thuan, Q. Doan et al. · 0 citations
Conference Aug 2026

Explainable Malware Detection from Noisy API Sequences with RAG-Based MITRE ATT&CK Mapping

As sophisticated evasion techniques like polymorphism and staged execution increasingly neutralize conventional signature-based defenses, dynamic API sequence analysis has emerged as an effective approach for malware detection. However, extracting actionable intelligence from noisy execution logs while maintaining mode...

Dat Quoc Phan, Tien Duc Anh Hao, Nghi Hoang Khoa et al. · 0 citations
Conference Jul 2026

Active Digital Twin Verification for Robust Federated Learning in IoT Intrusion Detection

Federated Learning has become a practical approach for training intrusion detection models across distributed Internet of Things devices, but it remains exposed to poisoning attacks, non-IID data heterogeneity, and free-rider exploitation. This paper presents DT-Guard, a defense framework that leverages a server-side D...

H. Pham, Duy The Phan, Van-Hau Pham · 0 citations

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