most citedNetIntent: Leveraging Large Language Models for End-to-End Intent-Based SDN Automation

9 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

cs.NI2026

Untangling Co-Drift: Proactive Multi-Intent Failure Prediction and Root-Cause Disambiguation for Self-Driving Networks

Md. Kamrul Hossain, Walid Aljoby

The vision of self-driving networks that monitor, reason, and act upon themselves with minimal human intervention relies on tightly coupled monitoring, analytics, and actuation fun…

cs.NI2026

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,…

cs.NI2026

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…

cs.NI2025★ 9 cited

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…

cs.CR2025

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…