5 papers
Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks
Md. Kamrul Hossain, Walid Aljoby
The paper proposes MILD, a framework that proactively predicts failures across multiple self‑driving network intents and identifies the true root‑cause using a teacher‑augmented mi…
AI-driven Intent-Based Networking Approach for Self-configuration of Next Generation Networks
Md. Kamrul Hossain, Walid Aljoby
Intent-Based Networking (IBN) aims to simplify operating heterogeneous infrastructures by translating high-level intents into enforceable policies and assuring compliance. However,…
Rethinking IPv6 Defense: A Unified Edge-Centric Zero-Trust Data-Plane Architecture
Walid Aljoby, Mohammed Alzayani, Md. Kamrul Hossain +1
IPv6 dependability is increasingly inseparable from IPv6 security: Neighbor Discovery (ND), Router Advertisements (RA), and ICMPv6 are essential for correct operation yet expose a…
NetIntent: Leveraging Large Language Models for End-to-End Intent-Based SDN Automation
Md. Kamrul Hossain, Walid Aljoby
Intent-Based Networking (IBN) often leverages the programmability of Software-Defined Networking (SDN) to simplify network management. However, significant challenges remain in aut…
AdRo-FL: Informed and Secure Client Selection for Federated Learning in the Presence of Adversarial Aggregator
Md. Kamrul Hossain, Walid Aljoby, Anis Elgabli +2
Federated Learning (FL) enables collaborative learning without exposing clients' data. While clients only share model updates with the aggregator, studies reveal that aggregators c…