Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Dsouza, Mithun; Pradhan, Rahul; Kaur, Chamandeep; Christal Mary, S.Suma; Preshiya, Jyothi; Ponni Valavan, M. Title A name given to the resource Quantum-Inspired Genetic Algorithms for Secure and Scalable Cloud-Based Decision Support Systems Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 2nd International Conference on Integration of Computational Intelligent System, ICICIS 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICICIS65613.2025.11371081" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICIS65613.2025.11371081</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105034708047?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034708047?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Dsouza M., CHRIST (Deemed to Be University), Department of Computer Science, Karnataka, Bangalore, India; Pradhan R., GLA University, Department of Computer Engineering and Applications, Mathura, India; Kaur C., Jazan University, Computer Science &amp; Information Technology Department, Jizan, Saudi Arabia; Christal Mary S.S., Chennai Institute of Technology, Department of AI &amp; DS, Chennai, India; Preshiya J., Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Department of ECE, Saveetha University, Tamil Nadu, Chennai, India; Ponni Valavan M., K.Ramakrishnan College of Engineering, Department of AI &amp; DS, Tamil Nadu, Trichy, India Description An account of the resource Cloud-based DSS are critical for data-intensive decision-making but tremendously challenged by issues of scalability, security, and the optimization of resources. In general, optimization approaches such as GA, PSO, and ACO treat the problems of allocation and security enhancement of cloud resources very inadequately. Hence, the present work addresses developing a QIGA-based optimization framework for the performance optimization of cloud DSS. At its core, it utilizes quantum-like principles, such as superposition and probabilistic search, for resource optimization with respect to stability, security, and rapid convergence. Therefore, this underpinning framework comprises resource optimization, anomalous detection, and quantum-independent encryption through QIGA, which enhances the data security along with computational efficiency. The experimental results depict the performance efficiency of QIGA since its execution time, CPU, memory utilization requirements, and energy consumption are less while the task completion rate is higher and the security vulnerabilities are reduced in comparison to traditional optimization techniques. QIGA-based anomaly detection improves accuracy at the expense of response time, while its quantum-inspired encryption provides the best cryptographic security. Therefore, these results verify that QIGA is an efficient secured methodology for scalable cloud-controlled DSS, hence being a potential candidate for decision-making optimization in highly dynamic cloud environments. 2025 IEEE. Subject The topic of the resource Anomaly Detection; Cloud Security; Cloud-Based Decision Support Systems; Quantum-Inspired Genetic Algorithm; Resource Optimization Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833153736-4; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online