Open Access
·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:
Enhancing network security in corporate environments through continuous monitoring and intelligent data analysis
Subramanian Karthickkarthick.sb@vit.eduDepartment of Computer Engineering Vishwakarma Institute of TechnologyPune, Maharashtra, 411037, IndiaView full profile →
, Anjali Bhardwajanjali.bhardwaj@niu.edu.inDepartment of Computer Science & Engineering Noida International UniversityDepartment of Computer Science & Engineering Noida International UniversityGreater Noida, Uttar Pradesh, 203201, IndiaView full profile →
, Sagarkumar S. Badhiyesagarbadhiye@gmail.comDepartment of Computer Science and Engineering Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University)Department of Computer Science and Engineering Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University) Pune, Maharashtra, 412115, IndiaView full profile →
, *Shubhangi S. ShambharkarCorresponding authorshubhangisshambharkar@gmail.comDepartment of Computer Technology Yeshwantrao Chavan College of EngineeringNagpur, Maharashtra, 441110, IndiaView full profile →
, Jambi Ratna Raja Kumarratnaraj.jambi@gmail.comDepartment of Computer Engineering Genba Sopanrao Moze College of Engineering BalewadiDepartment of Computer Engineering Genba Sopanrao Moze College of EngineeringPune, Maharashtra, 411045, IndiaView full profile →
* Corresponding author · click or hover a name for details
To make business networks safer, we need more advanced tools to deal with cyber risks that are getting smarter all the time. The proactive defense work provide the smart data analysis that monitors and find the outlier in network, reduces the response time and secure the important data and information. We have used AI based approach for that help, businesses can find trends, lower risks, and improve how they handle incidents with little help from humans. This framework able to track and find to real-time tracking that improve the security, make it flexible and scalable. This proposed approach not only makes business IT systems stronger against new threats, but it also makes digital environments more trustworthy, dependable, and able to follow rules.
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