Security and Privacy in Smart Farming: Challenges and Opportunities

By Maanak Gupta, Mahmoud Abdelsalam, S. Khorsandroo, Sudip Mittal. IEEE Access, 2020

396 citations recorded by the source corpus.

Internet of Things (IoT) and smart computing technologies have revolutionized every sphere of 21st century humans. IoT technologies and the data driven services they offer were beyond imagination just a decade ago. Now, they surround us and influence a variety of domains such as automobile, smart home, healthcare, etc. In particular, the Agriculture and Farming industries have also embraced this technological intervention. Smart devices are widely used by a range of people from farmers to entrepreneurs. These technologies are used in a variety of ways, from finding real-time status of crops and soil moisture content to deploying drones to assist with tasks such as applying pesticide spray. However, the use of IoT and smart communication technologies introduce a vast exposure to cybersecurity threats and vulnerabilities in smart farming environments. Such cyber attacks have the potential to disrupt the economies of countries that are widely dependent on agriculture. In this paper, we present a holistic study on security and privacy in a smart farming ecosystem. The paper outlines a multi layered architecture relevant to the precision agriculture domain and discusses the security and privacy issues in this dynamic and distributed cyber physical environment. Further more, the paper elaborates on potential cyber attack scenarios and highlights open research challenges and future directions.

Subfields: Computer Networks and Communications, Plant Science, Signal Processing

View Paper: https://www.semanticscholar.org/paper/78d761ff11b9892578c7b9312c1edb6f9a96285a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

  1. Lei Shu
  2. Edmond Nurellari
  3. Kai Huang
  4. Xing Yang
  5. Jianing Chen
  6. Mohamed Amine Ferrag

In Plant Science

  1. Lei Shu
  2. Xing Yang
  3. Mohamed Amine Ferrag

In Signal Processing

  1. Mohamed Amine Ferrag

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