In the era of IoT gaining traction, attacks on IoT-enabled devices are the order of the day that emanates the need for more protected IoT networks. IoT's key feature deals with massive amounts of data sensed by numerous heterogeneous IoT devices. Numerous machine learning techniques are used to collect data from different types of sensors on the objects and transform them into information relevant to the application. Furthermore, business and data analytics algorithms help in event prediction based on observed behavior and information. Routing information securely over the internet with limited resources in IoT applications is a key problem. The study proposes a model for detecting network anomalies in IoT devices to enhance the security of the devices. The study employed the IoT Botnet dataset, and K-fold cross-validation tests were used for validating the values of evaluation metrics. The average values of Accuracy, Precision, Recall, and F Score was 97.4.

The purpose of the paper is to select the mediating role of information integration between cloud computing and productivity. The research sample comprised 320 employees. Survey was utilized to gauge the cloud computing impact on productivity and information integration. 281 questionnaires returned for statistical analysis, adopting the quantitative approach. The study's findings indicated that productivity standards, applying information integration, and cloud computing usage were all highly prevalent. In addition, there was an impact for cloud computing on productivity and information integration. Recommendations for study were discussed.