For the smart grid and smart metering systems to monitor and effectively manage the amount of electricity consumed by consumers and industrial areas, an AMI (Advanced Metering Infrastructure) is essential. Cyberattacks on the smart meter made it vulnerable to the electricity meter and consumer privacy after we switched to smart metering. Smart metering services can be disrupted by cyberattacks, and this attack primarily targets AMI devices that are used in smart meters. Cyberattacks have resulted in inaccurate readings, incorrect billing, etc. In this paper, we seek to identify and counter (Neighbor Discovery Protocol) NDP attacks on the AMI devices of the smart meter system using the Routing Protocol for Low-Power and Lossy Networks (RPL) in the Cooja simulator. The detection of cyberattacks from PCAP file output into the Cooja simulator’s implementation of the RPL protocol. This includes putting RPL protocol countermeasures like route diversion, packet filtering, and rate limiting into practice. The effectiveness of these mitigation strategies is assessed based on their capacity to preserve the reliability and availability of AMI data as well as their effect on the performance of the entire network. The proposed approach is validated through extensive simulations in the Cooja simulator that mimic real-world AMI scenarios. The simulations take into account various attack scenarios and assess how well the detection and mitigation mechanisms perform in terms of detection precision and the capacity to lessen the effects of an NDP attack.

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Detection and Mitigation of NDP Attacks for AMI Devices Using Cooja Simulator

  • Shelza Dua,
  • Virender Kadyan,
  • Rahul Bhogal,
  • Mohit Dua

摘要

For the smart grid and smart metering systems to monitor and effectively manage the amount of electricity consumed by consumers and industrial areas, an AMI (Advanced Metering Infrastructure) is essential. Cyberattacks on the smart meter made it vulnerable to the electricity meter and consumer privacy after we switched to smart metering. Smart metering services can be disrupted by cyberattacks, and this attack primarily targets AMI devices that are used in smart meters. Cyberattacks have resulted in inaccurate readings, incorrect billing, etc. In this paper, we seek to identify and counter (Neighbor Discovery Protocol) NDP attacks on the AMI devices of the smart meter system using the Routing Protocol for Low-Power and Lossy Networks (RPL) in the Cooja simulator. The detection of cyberattacks from PCAP file output into the Cooja simulator’s implementation of the RPL protocol. This includes putting RPL protocol countermeasures like route diversion, packet filtering, and rate limiting into practice. The effectiveness of these mitigation strategies is assessed based on their capacity to preserve the reliability and availability of AMI data as well as their effect on the performance of the entire network. The proposed approach is validated through extensive simulations in the Cooja simulator that mimic real-world AMI scenarios. The simulations take into account various attack scenarios and assess how well the detection and mitigation mechanisms perform in terms of detection precision and the capacity to lessen the effects of an NDP attack.