Faiz Alotaibi

TL;DR: This study aims to serve as a useful manual of existing security threats and vulnerabilities of the IoT heterogeneous environment and proposes possible solutions for improving the IoT security architecture.

TL;DR: This study analyzed scheduling in MapReduce on two aspects: taxonomy and performance evaluation and can serve as the benchmark to expert researchers for proposing a novel MapReduced scheduling algorithm and for novice researchers, it can be used as a starting point.

TL;DR: The result of the proposed method is compared with the standard Mushaf al Madinah benchmark to find similarities that match with texts of the Holy Quran and the obtained accuracy was superior to the other tested K-nearest neighbor (knn) algorithm and published results in the literature.

TL;DR: Logistic regression, rpart decision tree, and random forest are used to test the variable in predicting credit default andrandom forest proved to have the higher accuracy and area under the curve and shows that random forest best describe which factors should be considered when assessing the credit risk of credit card customers.

TL;DR: The overall result indicated that is more beneficial to serialized large payload than smaller one, and the serialization and deserialization cost incurred at individual ends are slightly constant irrespective of the payload size.