Intelligent Defense Architecture: Machine Learning-Driven Cybersecurity in Cloud Environments for Enhanced National Security Resilience
Year: 2025
Type: article
Abstract: Digital boundary protection has fundamentally transformed, requiring next-generation defenses against sophisticated intrusions targeting essential networks.Smart processing systems provide unique benefits through deviation mapping, threat categorization, and preventative intervention before system compromise occurs.Distributed infrastructure enhances these capabilities via expandable, fortified environments, enabling protected collaboration across organizational domains.Threat actors systematically leverage technical gaps for covert access and function disruption, necessitating cognitive defense tools and flexible security designs.Recognized guideline frameworks, when paired with pattern detection systems and isolated security implementations, create adaptable protection mechanisms addressing current challenges.The strategic combination of computational defense techniques, virtualized protection structures, and formal oversight principles establishes core resilience capabilities, preserving specialized functions and overall stability throughout linked technical ecosystems and vital service infrastructures.
Author: Natarajan Ravikumar
Institution: University of North Carolina at Charlotte
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4413314676