Green, Christopher
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Journal : Cybersecurity and Innovative Technology Journal

A Comparison of UAF and SysML-Based DODAF Implementations for Cybersecurity Architecture Modeling Green, Christopher
Cybersecurity and Innovative Technology Journal Vol 4, No 1 (2026)
Publisher : Gemilang Maju Publikasi Ilmiah (GMPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53889/citj.v4i1.854

Abstract

IoT systems with constrained resources are moving towards energy harvesting to ensure sustainable and autonomous operations in resource-limited environments. Yet, incorporating energy harvesting in such a system involves intricate dependencies between energy production, energy storage capabilities, system operation, security controls, and availability considerations at a mission level. Current practices focus on analyzing the mentioned dependencies for individual components/subsystems without accounting for potential cross-domain effects, thus leaving open room for potential errors in system-level integration. In this paper, we propose an architecture-driven approach for integrating energy harvesting based on the Unified Architecture Framework (UAF). Energy availability is considered from the perspective of a system-level architectural constraint within a framework based on a meta-model, instead of being just a design consideration. Capabilities, operations, resources, security, and standards-related concepts are materialized within a common semantic baseline to enable cross-domain traceability of the dependencies between energy, security, and missions. Variability in the energy produced by the energy harvesters propagates through operations, communications, and security controls up to capabilities realization and availability. This technique takes advantage of the relationships between domains provided by the UAF Domain MetaModel to achieve structured dependency propagation and systematic trade-space analysis between domains. It is clear from the findings that integrating energy and cybersecurity elements into a single architectural framework helps minimize fragmentation in integration, enhances system-level reasoning, and facilitates energy-conscious co-design of operations and security functions.
Architecture-Driven Integration of Energy Harvesting in Resource-Constrained IoT Systems Using the Unified Architecture Framework (UAF) Green, Christopher
Cybersecurity and Innovative Technology Journal Vol 4, No 1 (2026)
Publisher : Gemilang Maju Publikasi Ilmiah (GMPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53889/citj.v4i1.856

Abstract

As the use of resource constrained IoT becomes more prevalent, it relies more often on energy harvesting capabilities for sustaining autonomous operations in uncertain power environments. However, incorporating energy harvesting functionality poses challenges as a result of introducing strong interdependencies between energy generation, storage, operational behavior, security measures, and mission availability. Current methods for addressing the problem usually deal with these aspects on a component or subsystem level and therefore lack cross-domain interaction visibility and understanding, which results in an increased probability of integration errors. In this paper, we propose the architecture driven approach for energy harvesting integration by means of the Unified Architecture Framework (UAF). Instead of being considered separately, energy availability will be addressed as an architectural constraint at a system level in a meta-model driven environment. Through the instantiation of capabilities, operations, resources, security, and standards constructs within a semantic baseline, we show the ability to trace energy- security-mission dependencies across multiple domains. This paper describes how harvested energy variance affects system operations, communications, cybersecurity, capabilities, and system availability. The findings suggest that incorporating energy and cyber security principles in an integrated architectural framework can overcome the problem of fragmentation, enhance overall system reasoning, and facilitate energy-conscious joint design of functional and security-related features. The study provides a scalable architectural basis for the design and evaluation of secure IoT systems with energy constraints.