Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Journal of Artificial Intelligence and Digital Economy
Shakila Akter
Lewis University, United States

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 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.
ADAPTIVE AI-DRIVEN SERVICE-PRESERVING CYBER CONTAINMENT FOR RESILIENT CRITICAL INFRASTRUCTURE Shakila Akter; Md Riyad Uddin; Md. Golam Mostafa; Sajidul Haque Chowdhury
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 2 (2025): 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.v2i2.1917

Abstract

Objective: Cyber containment in critical infrastructure is a dual-risk decision: insufficient isolation permits lateral movement, while excessive isolation can interrupt electricity, water, healthcare, transportation, and communications. This study introduces Adaptive Service-Preserving Containment (ASPC), which estimates compromise uncertainty, forecasts attack spread, models critical-service dependencies, predicts operational consequences, and repeatedly selects the smallest boundary satisfying safety and residual-risk constraints. Method: Unlike a purely conceptual treatment, ASPC was implemented in a stochastic graph-based test environment and evaluated against full isolation, rule-based containment, and a cyber-centric AI baseline. Results: Across 450 paired trials on seen topology families and 300 on held-out topologies, ASPC achieved attack spread statistically indistinguishable from full isolation while sharply reducing unnecessary isolation and safety violations. On unseen topologies, ASPC averaged 1.49 additional compromised nodes, 3.91% unnecessary isolation, 1.27 containment epochs, 5.76 recovery epochs, 0.51 safety violations, and 92.30% critical-service availability. Its availability exceeded the other methods by 14.49–74.75 percentage points. Ablations showed that continuous reassessment was necessary to contain delayed footholds and that the service-dependency model prevented coarse over-isolation. Novelty: Results support ASPC as a testbed-validated resilience controller, while remaining subject to the limitations of synthetic topology, simplified physical dynamics, and simulated telemetry.
Co-Authors Md Riyad Uddin Md. Golam Mostafa Sajidul Haque Chowdhruy Sajidul Haque Chowdhury