RESEARCH & INNOVATION

Questions that open new horizons.

Exploring the intersection of AI, cybersecurity and digital forensics. We present the research domain and intended framework without claiming undocumented results or publication.

RESEARCH DIRECTIONAI / XAI / DIGITAL FORENSICS

AI-Driven Network Intrusion Detection, Explainable AI, and Digital Forensics Evidence Reconstruction Framework

An intended framework connecting network intrusion detection with explainable AI and exploring support for digital evidence reconstruction.

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Network signals

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Explainable detection

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Evidence reconstruction

A conceptual diagram of the study domain; it does not establish a completed implementation or experimental results.

The problem domain

How can network monitoring connect to explanations useful to an analyst and to traceable evidence documentation? This is the exploration domain, not an announcement of an accredited system.

Research participation

The supplied brief describes participants associated with Northern Border University. Attribution remains neutral pending confirmation of participants and publication rights. No university endorsement is implied.

KNOWLEDGE NOTES

Concepts in context.

What is explainable AI?

Methods that help explain factors influencing model outputs. Explanations need evaluation and do not automatically make a decision correct.

Why digital evidence reconstruction?

To organize event traces, their relationships and their provenance. This describes a study domain, not legal admissibility or a research result.