Digital Twin based What-if Simulation of Security Attacks in Smart Irrigation Systems

被引：0
作者：
Ramesh, Karan [1 ]
Sasirekha, G. V. K. [1 ]
Rao, Madhav [1 ]
Bapat, Jyotsna [1 ]
Das, Debabrata [1 ]
机构：
[1] Int Inst Informat Technol, Networking & Commun Res Lab, Bangalore, India
来源：
10TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTING AND COMMUNICATION TECHNOLOGIES, CONECCT 2024 | 2024年
关键词：
Smart Irrigation System; Digital Twin; Anomaly detection; Internet of Things (IoT); Intrusion Detection System; Security attacks;
D O I：
10.1109/CONECCT62155.2024.10677126
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The rapid integration of Internet of Things (IoT), machine learning and big data technologies in smart irrigation systems has significantly enhanced the agricultural efficiency and water resource management. However, it is vital to secure the smart irrigation systems against all types of security attacks. This paper introduces a novel approach, leveraging digital twin technology, for simulating security attacks in smart irrigation systems. Towards achieving this goal, a digital twin, mirroring a physical irrigation system has been built, and a simulation model has been included into it to mimic the perception layer and personal area network attacks. Such a digital twin helps in what-if analysis, to understand the impact of these attacks, on the performance of smart irrigation system. An Amazon Web Services (AWS) based prototype, combining real-time data from sensors with simulation model of the impact of potential security breaches, has been successfully developed. Further, how the digital twin can be used in detecting intrusions, thus enhancing the overall resilience and security of smart irrigation systems, has been presented. This work contributes to the growing field of cybersecurity for IoT applications, specifically addressing the unique challenges posed by the security attacks in smart irrigation.
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页数：6
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