Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Artificial Intelligence and Digital Economy
Sajidul Haque Chowdhruy
Washington University of Science and Technology, United States

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
TRUST-CALIBRATED EXPLAINABLE MULTI-AGENT AI FOR SAFE PREDICTIVE CYBER DEFENCE IN CRITICAL INFRASTRUCTURE AND CLOUD-NATIVE SYSTEMS Sajidul Haque Chowdhruy; Shakila Akter; Md. Golam Mostafa
Journal of Artificial Intelligence and Digital Economy Vol. 1 No. 7 (2024): Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v1i7.1897

Abstract

Objective: This article proposes TCX-MAD, a trust-calibrated explainable multi-agent defence framework for critical infrastructure and cloud-native systems that places a safety governor between collaborative detection and response execution. Method: A design-science methodology specifies the architecture, formal decision policy, threat model, public-dataset evaluation plan, and safety-centred metrics. Results: The framework reports analytical safety properties and an illustrative decision trace rather than fabricated benchmark results because no experimental observations were supplied. Its primary evaluation target is unsafe automated actions prevented without materially increasing valid response latency, supported by detection, disruption, rollback, explanation, and human-approval metrics. Novelty: TCX-MAD integrates separate threat and response-risk estimation, tiered autonomy, dynamic manipulation-aware agent trust, an explanation-sufficiency gate, and rollback-bounded execution. It reframes autonomous cyber defence as constrained and accountable action selection under dual uncertainty.
Co-Authors Md. Golam Mostafa Shakila Akter