9 papers
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…
SHACR: A Graph-Augmented Semi-Autonomous Framework for Multi-Class Conflict Resolution in Smart Home IoT Automation
Leena Marghalani, Walid Aljoby, Suayb S. Arslan
Smart home automation increasingly relies on user-defined rules across heterogeneous IoT devices. While these rules appear harmless in isolation, their concurrent execution creates…
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,…
MILD: Multi-Intent Learning and Disambiguation for Proactive Failure Prediction in Intent-based Networking
Md. Kamrul Hossain, Walid Aljoby
In multi-intent intent-based networks, a single fault can trigger co-drift where multiple intents exhibit symptomatic KPI degradation, creating ambiguity about the true root-cause…
LEAD-Drift: Real-time and Explainable Intent Drift Detection by Learning a Data-Driven Risk Score
Md. Kamrul Hossain, Walid Aljoby
Intent-Based Networking (IBN) simplifies network management, but its reliability is challenged by "intent drift", where the network's state gradually deviates from its intended goa…
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…