Edge Computing and Blockchain in Smart Agriculture Systems

Abstract

The advancement of Internet-based technologies has made huge progress toward improving the accessibility of "smart agriculture." With the advent of unmanned and automatic management, smart agriculture is now able to accomplish monitoring, supervision, and real-time picture monitoring. It is not possible to know for sure that the data in a smart agriculture system is complete and secure from intrusion. This article investigates and assesses the potential of edge computing and blockchain for use in smart agriculture. We combine the advantages of blockchain technology and the edge computing framework to create a smart agriculture framework system that is based on a very straightforward analysis of the evolution of smart agriculture. The study proposes a thorough method for emphasizing the significance of agriculture and edge computing, as well as the advantages of incorporating blockchain technology in this context. This paper also proposes an intelligent agricultural product traceability system design: edge computing with blockchain for smart agriculture. The study concludes with a discussion of outstanding problems and difficulties that can arise during the creation of a blockchain-based edge computing system for smart agriculture systems.

Evaluating the Isolation Forest Method for Anomaly Detection in Software-Defined Networking Security

“…These AUC-ROC values reflect a model that has not effectively learned from the data features provided to it. Further refinement of the model parameters, augmentation of the training data, or reconsidering the model's complexity may be required to achieve a level of performance that would be considered acceptable for operational purposes [24][25].…”