TwinSec‐IDS: An Enhanced Intrusion Detection System in SDN‐Digital‐Twin‐Based Industrial Cyber‐Physical Systems DOI Open Access
S. Krishnaveni, S. Krishnaveni,

B. Jothi

и другие.

Concurrency and Computation Practice and Experience, Год журнала: 2024, Номер unknown

Опубликована: Дек. 10, 2024

ABSTRACT The increasing complexity and interconnectivity of industrial cyber‐physical systems (ICPSs), while enhancing operational security reliability, have also introduced significant cybersecurity challenges. Software‐defined networking (SDN), a transformative technology for centralized dynamic resource management, is particularly vulnerable as control planes can become single points failure. integration Digital Twin technology, which creates virtual replicas physical real‐time monitoring prediction, further exacerbates risks. To address these issues, we present TwinSec‐IDS, an advanced intrusion detection framework designed SDN‐Digital‐Twin‐based ICPS. TwinSec‐IDS provides comprehensive proactive detection, thereby the resilience networks. This paper introduces ensemble approach, leveraging hybrid deep learning models—such Bi‐GRU‐CNN, Bi‐GRU‐LSTM, Bi‐GRU‐LSTM‐CNN—integrated with ensemble‐based feature selection techniques. system employs weighted majority voting to combine predictions from multiple models, improving accuracy. ensure optimal selection, incorporates explainable AI filter methods, including mutual information, chi‐square tests, correlation coefficients, aggregated through mechanism. demonstrates high accuracy in detecting categorizing anomalies effectively responds potential threats. Extensive evaluations show that significantly improves ICPS, addressing critical concerns making processes safer more reliable.

Язык: Английский

Insurmountable limitations of city-scale digital twins? On urban knowledge and planning DOI Creative Commons
Stefano Moroni

Computational Urban Science, Год журнала: 2025, Номер 5(1)

Опубликована: Март 26, 2025

Abstract Digital twins are enjoying widespread and growing success in both theoretical practical applications. A recent development that is gaining increasing traction the application of digital to cities. The aim this article discuss whether there inherent limitations case. At present, scientific literature on urban dominated by “technical” approaches. Critical investigation – especially from a philosophical perspective still at its beginnings. This aims contribute line inquiry. It mainly analytical. On basis specific conceptual framework, it examines their applications contexts. starts distinguishing among simple, complicated complex systems, reaches conclusion that, while using generally appropriate (and often helpful) first two these some structural use case systems. In latter case, depend certain distinctive aspects such as emergent unpredictable nature, role played regard “dispersed knowledge” (that is, form diffused knowledge crucial for functioning large systems but cannot be collected re-unified because, coherent integrated whole, does not exist anywhere).

Язык: Английский

Процитировано

1
Situation Awareness for Cyber resilience: A review DOI Creative Commons
Emanuele Bellini, Giuseppe D’Aniello, Francesco Flammini

и другие.

International Journal of Critical Infrastructure Protection, Год журнала: 2025, Номер unknown, С. 100755 - 100755

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Data Enabling Technology in Digital Twin and its Frameworks in Different Industrial Applications DOI

R. Mohanraj,

Banda Krishna Vaishnavi

Journal of Industrial Information Integration, Год журнала: 2025, Номер unknown, С. 100793 - 100793

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Virtual AI Game Interaction Design System Based on Artificial Intelligence Technology DOI

D. R. Zhang,

Xiaojing Yi

Learning and analytics in intelligent systems, Год журнала: 2025, Номер unknown, С. 238 - 247

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Leveraging Digital Twins and Intrusion Detection Systems for Enhanced Security in IoT-Based Smart City Infrastructures DOI Open Access
Mohammed El‐Hajj

Electronics, Год журнала: 2024, Номер 13(19), С. 3941 - 3941

Опубликована: Окт. 6, 2024

In this research, we investigate the integration of an Intrusion Detection System (IDS) with a Digital Twin (DT) to enhance cybersecurity physical devices in cyber–physical systems. Using Eclipse Ditto as DT platform and Snort IDS, developed near-realistic test environment that included Raspberry Pi device Kali Linux virtual machine perform common cyberattacks such Hping3 flood attacks NMAP reconnaissance scans. The results demonstrated IDS effectively detected Hping3-based but showed limitations identifying scans, suggesting areas for configuration improvements. Furthermore, study uncovered significant system resource impacts, including high Central Processing Unit (CPU) usage during SYN ACK persistent memory after Network Mapper (NMAP) highlighting need enhanced recovery mechanisms. This research presents novel approach by coupling enabling real-time monitoring providing dual perspective on both performance security. offers holistic method vulnerabilities understanding impacts cyberattacks. work contributes new insights into use Twins paves way further automated defense mechanisms, real-world validation proposed model, incorporation additional attack scenarios. suggest combined holds promise enhancing security resilience IoT other

Язык: Английский

Процитировано

3
From farm to market: research progress and application prospects of artificial intelligence in the frozen fruits and vegetables supply chain DOI
Linyu Zhang, Min Zhang,

Arun S. Mujumdar

и другие.

Trends in Food Science & Technology, Год журнала: 2024, Номер unknown, С. 104730 - 104730

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

1
A Comprehensive State-of-the-Art Review for Digital Twin: Cybersecurity Perspectives and Open Challenges DOI
Aws Naser Jaber, Ioannis Koufos, Maria Christopoulou

и другие.

Lecture notes on data engineering and communications technologies, Год журнала: 2024, Номер unknown, С. 78 - 98

Опубликована: Ноя. 16, 2024

Язык: Английский

Процитировано

0
TwinSec‐IDS: An Enhanced Intrusion Detection System in SDN‐Digital‐Twin‐Based Industrial Cyber‐Physical Systems DOI Open Access
S. Krishnaveni, S. Krishnaveni,

B. Jothi

и другие.

Concurrency and Computation Practice and Experience, Год журнала: 2024, Номер unknown

Опубликована: Дек. 10, 2024

ABSTRACT The increasing complexity and interconnectivity of industrial cyber‐physical systems (ICPSs), while enhancing operational security reliability, have also introduced significant cybersecurity challenges. Software‐defined networking (SDN), a transformative technology for centralized dynamic resource management, is particularly vulnerable as control planes can become single points failure. integration Digital Twin technology, which creates virtual replicas physical real‐time monitoring prediction, further exacerbates risks. To address these issues, we present TwinSec‐IDS, an advanced intrusion detection framework designed SDN‐Digital‐Twin‐based ICPS. TwinSec‐IDS provides comprehensive proactive detection, thereby the resilience networks. This paper introduces ensemble approach, leveraging hybrid deep learning models—such Bi‐GRU‐CNN, Bi‐GRU‐LSTM, Bi‐GRU‐LSTM‐CNN—integrated with ensemble‐based feature selection techniques. system employs weighted majority voting to combine predictions from multiple models, improving accuracy. ensure optimal selection, incorporates explainable AI filter methods, including mutual information, chi‐square tests, correlation coefficients, aggregated through mechanism. demonstrates high accuracy in detecting categorizing anomalies effectively responds potential threats. Extensive evaluations show that significantly improves ICPS, addressing critical concerns making processes safer more reliable.

Язык: Английский

Процитировано

0