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| Smart Agriculture and Cybersecurity |
Abeer Alshammari, Qamra Alharbi, Rawan Alonazi, Nora Aljomaih, Zainab Malik
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Abstract:
With the strife in cybersecurity and the staggering advances in Artificial Intelligence (AI), it is just normal that cybersecurity experts consider further utilizing learning techniques to help secure their organizations and improve the effectiveness of their security activity focuses. Due to the ever-expanding complexities in cybercrimes, there is a requirement for cybersecurity techniques to be more powerful and astute. This will make defense mechanisms and instruments to be capable of making real-time decisions for settling on ongoing choices that can adequately react to advanced attacks. To help this, the analysts and specialists should be acquainted with current strategies for guaranteeing cybersecurity. Specifically, the utilization of AI for fighting cybercrimes. In any case, there is an absence of outlines on AI techniques for battling cybercrime. It was observed that AI strategies have made remarkable contributions and commitments to fighting cybercrimes with a significant improvement in interruption identification frameworks. It was also observed that there is a decrease in computational multifaceted nature, model training times, and bogus alerts. AI technologies have a significant positive and challenging impact on cybersecurity in many fields. The purpose of this research is to highlight the strong overlap between AI and cybersecurity in smart agriculture field, also to explain the mechanism of AI, then clarify the relationship between cybersecurity and AI besides reviewing the challenges and risks facing smart agriculture.
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