The foundation of every economic system, agriculture is essential for a country’s ability to maintain its wealth. It not only supplies food and raw materials but also creates a large number of jobs. Since digital technologies were used in agriculture, a variety of cybersecurity risks have become possible. Under these conditions, meteorological factors in an agricultural field such as light, humidity, carbon dioxide, acidity, soil moisture, and temperature are detected using wireless sensor networks (WSNs). It has a variety of security requirements and adaptive privacy preservation. A novel lightweight authentication technique that makes use of drone technology in combination with 5G connectivity has been presented as a solution to this problem. It effectively satisfies the anonymity and untraceability security and functional criteria. A thorough simulation analysis and network simulator (NS3) simulation have been performed to evaluate the suggested scheme’s influence on a number of network performance metrics. Moreover, analysis of big data shows the effectiveness of the plan in terms of accuracy, precision, and return.

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Efficient and Privacy-Preserving Authentication Protocol for Agriculture Domain

  • Himani Bhatt,
  • Abhinav Changil,
  • Vipin Goyat,
  • Mohammad Ali,
  • Saurabh Rana

摘要

The foundation of every economic system, agriculture is essential for a country’s ability to maintain its wealth. It not only supplies food and raw materials but also creates a large number of jobs. Since digital technologies were used in agriculture, a variety of cybersecurity risks have become possible. Under these conditions, meteorological factors in an agricultural field such as light, humidity, carbon dioxide, acidity, soil moisture, and temperature are detected using wireless sensor networks (WSNs). It has a variety of security requirements and adaptive privacy preservation. A novel lightweight authentication technique that makes use of drone technology in combination with 5G connectivity has been presented as a solution to this problem. It effectively satisfies the anonymity and untraceability security and functional criteria. A thorough simulation analysis and network simulator (NS3) simulation have been performed to evaluate the suggested scheme’s influence on a number of network performance metrics. Moreover, analysis of big data shows the effectiveness of the plan in terms of accuracy, precision, and return.