Abstract
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.
Highlights
AND MOTIVATIONAccording to the United Nations (UN), the world population is expected to exceed 9 billion people by 2050, growing by almost a third of the current population [1], [2]
On cybersecurity for smart farming is in its infancy, our objective in this review is to provide a holistic view of cybersecurity developments in smart farming
The authors implemented a use case based on their proposed framework which included 120 Internet of Things (IoT) nodes and 20 blockchain producers
Summary
According to the United Nations (UN), the world population is expected to exceed 9 billion people by 2050, growing by almost a third of the current population [1], [2]. Unlike traditional crop management methods that use farmers or ground vehicles for assessing crop health status, this collaborative smart farming project is using autonomous technology to perform aerial monitoring of agricultural fields to save time and money, while preventing damage to crops Data on the Edge: Smart farms leverage Internet of Things (IoT), state-of-the-art communications (e.g., 5G), and artificial intelligence Such systems mostly require fast response times, than those of a traditional model in which data is transmitted to a centralized data center (e.g., cloud) for processing and results are returned to a user. Most of the current available agriculture based cyber insurances are very ambiguous and limited in their coverage [64]
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