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·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to:
• Information Sciences
• Optimization Sciences
• Control Theory
• Operational Research
• Decision Sciences
• Information Theory
• Information Technology
• Computer Networks and Communications
• Mathematical Programming
• Modelling and Simulation
• Database Management
• Applications to Engineering Sciences
• Applications to Technology
Issues up to 2022 co-published with and available at:
Strategic investment approaches for building robust computer security frameworks within organizational networks
Veerendra Yadavveerendra.yadav@niu.edu.inDepartment of Computer Science & Engineering Noida International UniversityNoida, Uttar Pradesh, 203201, IndiaView full profile →
, Amruta Prasad Kharadeamruta.kharade@vit.eduDepartment of Engineering Science and Humanities Vishwakarma Institute of TechnologyPune, Maharashtra, 411037, IndiaView full profile →
, *Asha RawatCorresponding authorasha.rawat@nmims.eduDepartment of Computer Engineering NMIMS Deemed-to-be-UniversityDepartement of Computer Engineering NMIMS Deemed-to-be-UniversityMumbai, Maharashtra, 400056, IndiaView full profile →
, Deepak Suresh Asudanideepak.s.asudani@gmail.comDepartment of Computer Science and Engineering Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University)Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University) Pune, Maharashtra, 412115, IndiaView full profile →
, K. Anithakanitha@maher.ac.inDepartment of Management Studies Meenakshi College of Arts and Science Meenakshi Academy of Higher Education and ResearchChennai, Tamil Nadu, 600078, IndiaView full profile →
* Corresponding author · click or hover a name for details
In order to increase computer security frameworks inside organisational networks, this research offers a structured framework for strategic investment methods. In order to combat emerging cyber threats, proactive and cost-effective solutions are required, since traditional reactive defences are inadequate. The suggested system combines risk-return modelling and mathematical optimisation to direct the effective distribution of scarce resources across many defence layers. Organisations may achieve balanced spending, improved resilience, and quantifiable risk reduction by tying financial planning to cybersecurity goals. The results demonstrate how proactive, AI-driven investments outperform other options in reducing the likelihood of breaches while optimising ROI and maintaining business continuity.
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