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American Journal of Applied Science and Technology

Peer Reviewed | Open Access | E-ISSN: 2771-2745
Published Article

Sustainable Self-Compacting Cementitious Composites and Intelligent Intrusion Detection for IOT Systems: A Dual-Lens Analysis of Resilience in Built and Digital Infrastructure

Sustainable Self-Compacting Cementitious Composites and Intelligent Intrusion Detection for IOT Systems: A Dual-Lens Analysis of Resilience in Built and Digital Infrastructure

Authors

  • Dr. Emilia Varga
    Department of Civil and Digital Systems Engineering, Central European Institute of Technology, Hungary

Keywords:

Self-compacting concrete sustainable materials intrusion detection

Abstract

Background: Contemporary infrastructure resilience is increasingly defined by two parallel demands: the need for durable, sustainable, and high-performance construction materials, and the need for intelligent, adaptive, and trustworthy cybersecurity mechanisms for highly connected Internet of Things environments. The references supplied for this study cover self-compacting concrete, reactive powder concrete, foam concrete, fiber modification, supplementary cementitious materials, sulfate and thermal resistance, and sustainable mix design. They also cover intrusion detection for IoT, wireless sensor networks, in-vehicle networks, graph neural networks, transformers, explainable artificial intelligence, network forensics, transfer learning, and benchmark datasets. Although these literatures are usually studied independently, both address the same deeper problem: how complex systems can remain reliable under uncertain, evolving, and often hostile operating conditions.

Objective: This article develops an original, publication-ready research synthesis based strictly on the provided references. Its purpose is to construct an integrated analytical framework that explains how resilience is designed, assessed, and improved in both material infrastructure and cyber-physical infrastructure.

Methodology: A text-based integrative research design was employed. The civil engineering literature was interpreted through the lenses of mix optimization, durability, thermal response, sustainable materials, and fiber-enhanced performance. The cybersecurity literature was interpreted through the lenses of data representation, lightweight detection, graph-based learning, explainability, transfer robustness, and IoT-specific attack detection. These domains were then compared at the conceptual level of system resilience, adaptive performance, and design under constraints.

Results: The analysis indicates that sustainable self-compacting and advanced cementitious composites achieve resilience through material tailoring, reduced defect sensitivity, and environmentally conscious substitution strategies. In parallel, IoT intrusion detection systems achieve resilience through feature engineering, lightweight models, graph-based learning, self-supervision, explainability, and robustness-preserving transfer methods. Across both domains, resilience emerges not from single-variable optimization but from structured balance among performance, adaptability, efficiency, and reliability.

Conclusion: The article argues that civil material innovation and cybersecurity intelligence should be understood as parallel sciences of resilience. Though their objects differ, both require multi-factor design, tolerance to uncertainty, and disciplined evaluation under real constraints. This integrated perspective offers a broader theoretical basis for future research on sustainable and secure infrastructure.

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