A Novel Hybrid Method for Cloud Security Using Efficient IDS for Agricultural Weather Forecasting Systems
Rakshanda K. Borikar, S. S. Sherekar, Vilas M. Thakare · 2021
Intrusion detection systems are most frequently used for detecting assaults over the Cloud environment for agricultural activities. Cloud security through an intrusion detection system is a framework that screens occurrences arising over an organization and dissecting it to distinguish any sort of action that undermines PC security strategies. Cloud security through intrusion detection systems has dragged in the critical section of the world and decided their new development and improving location that is a significant requirement for affiliation, specialists, and science centers. These methods have analyzed the restrictions of Cloud security through intrusion detection systems by way of low accuracy, high incorrect alarm rate, and time consumption, etc. So, to overcome the problems, the proposed method “The Hybrid IDS Method for agricultural activities over Cloud Computing” is implemented on the Weka tool. The proposed method is used to decrease the false alarm rate toward refining a recognition rate. The proposed method has several applications; the Cloud can store zone-specific weather, the weather forecast for a specific time, emerging agricultural security threads, and effective information sharing for agricultural activities. The proposed method fulfills the weather forecasting requirements for agricultural activities over a Cloud computing environment.