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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
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Issue Published : 115
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| Paper Title: | Cognitive Digital Twins: Transforming Cyber Risk Prediction with AI |
| Authors Name: | Ankita Gorde |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_202157
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| Published Paper Id: | IJRTI2310125 |
| Published In: | Volume 8 Issue 10, October-2023 |
| DOI: | |
| Abstract: | In an increasingly interconnected digital ecosystem, predicting cybersecurity risks before they escalate into threats has become a critical challenge. This paper presents a novel approach to proactive cyber defense through the integration of Cognitive Digital Twins—intelligent virtual replicas of physical systems empowered by artificial intelligence (AI). By continuously mirroring system behaviors and environmental conditions, these cognitive twins enable real-time monitoring, anomaly detection, and predictive risk assessment across complex cyber-physical environments.The proposed framework leverages machine learning algorithms to learn patterns from historical and real-time data, enhancing the decision-making capability of digital twins. These AI-driven models forecast potential attack vectors, evaluate system vulnerabilities, and prioritize response actions based on dynamic risk levels. Through a simulated enterprise network, we demonstrate how cognitive digital twins can anticipate cyber threats with high accuracy, enabling timely and automated mitigation strategies.This research not only illustrates the efficacy of integrating AI with digital twin technology for cybersecurity but also introduces a scalable, adaptive, and intelligent architecture for next-generation cyber risk management. The results highlight the potential of cognitive digital twins to transform traditional reactive security models into predictive, resilient, and autonomous defense systems. |
| Keywords: | Cybersecurity Risk Prediction,Cognitive Digital Twins, Machine Learning, Cyber Threat Detection, Predictive Analytics, Real-time Monitoring, AI-based Security, Predictive Analytics,etc. |
| Cite Article: | "Cognitive Digital Twins: Transforming Cyber Risk Prediction with AI", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 10, page no.927-936, October-2023, Available :http://www.ijrti.org/papers/IJRTI2310125.pdf |
| Downloads: | 000351 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2310125
Registration ID:202157
Published In: Volume 8 Issue 10, October-2023
DOI (Digital Object Identifier):
Page No: 927-936 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2310125 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2310125 |
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ISSN: 2456-3315
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Journal Starting Year (ESTD) : 2016
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