| Autors: Nakov, P. O. Title: Structure of resources in an enterprise IT organization subject to optimal defect detection Keywords: business data processing , cloud computing , costing , Inter Abstract: At a decade of distributed cloud, hyper-automation, digitalization, Internet of Things (IoT) world, use of large volume IT resources in business is inevitable. Organizations use vast amount of IT systems to automate processes and tend to focus on digitalization at all costs. Automation and day-to-day business require huge computing power at a high-availability and reliability. Cybersecurity is crucial for success of every business. To address these needs, organizations must have in-depth understanding of their own resource structure (assets, network, services, applications, relationships, etc.). This paper focuses on how organizations can keep information about their resources and analyzes how organizations can ensure optimal defect detection in its own resource structure.This paper proposes unique approach for structuring of multi-layer resources, focused on formalization of detection, localization, and effective defect remediation. References Issue
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Цитирания (Citation/s):
1. Georgiev G., Trifonov R., Gotseva D., Kotov G., Digital Twin-Driven Testing of IoT Systems: A Scalable Simulation-Based Approach, 2025, 2025 13th International Scientific Conference on Computer Science Comsci 2025 Proceedings, issue 0, DOI 10.1109/COMSCI67172.2025.11225248 - 2025 - в издания, индексирани в Scopus
Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus