TiSEFE: Time Series Evolving Fuzzy Engine for Network Traffic Classification

Monitoring and analyzing network traffic are very crucial in discriminating the malicious attack. As the network traffic is becoming big, heterogeneous, and very fast, traffic analysis could be considered as big data analytic task. Recent research in big data analytic filed has produces several novel large-scale data processing systems. However, there is a need for a comprehensive data processing system to extract valuable insights from network traffic big data and learn the normal and attack network situations. This paper proposes a novel evolving fuzzy system to discriminate anomalies by inspecting the network traffic. After capturing traffic data, the system analyzes it to establish a model of normal network situation. The normal situation is a time series data of an ordered sequence of traffic information variable values at equally spaced time intervals. The performance has been analyzed by carrying out several experiments on real-world traffic dataset and under extreme difficult situation of high-speed networks. The results have proved the appropriateness of time series evolving fuzzy engine for network classification

Virtual flipped classroom: New teaching model to grant the learners knowledge and motivation

This research introduces new pedagogical approach, the Virtual Flipped Classroom (VFC). The VFC is an integration of two concepts: Flipped Classroom and Virtual Classroom. It enables the teachers to teach and guide the students in applying the activities needed to achieve best learning levels. To investigate the effect of VFC, the researchers applied it on the students of computer programming course in Instructional and Learning Technology (ILT) department at College of Education, Sultan Qaboos University (SQU). The students’ learning achievement and motivation were measured by two instruments, Programming Achievement Test and Survey of Student Motivation respectively. One-group pretest-posttest qusai-experimental design has been followed. The sample, which consisted of 18 students, was taught some selective topics of the computer programming perquisite using the VFC model. A pretest and posttest are administered before and after using the VFC model. The researchers used independent sample t-test and multivariate analysis of variance (MANOVA) to analyze the data obtained. Findings indicated a significant difference in the learning achievement and motivation before and after applying the VFC model. The differences were in favor of VFC model. Further analysis showed that the new model contributed to the improvement of performance of low achievers students

Virtual flipped classroom: New teaching model to grant the learners knowledge and motivation

This research introduces new pedagogical approach, the Virtual Flipped Classroom (VFC). The VFC is an integration of two concepts: Flipped Classroom and Virtual Classroom. It enables the teachers to teach and guide the students in applying the activities needed to achieve best learning levels. To investigate the effect of VFC, the researchers applied it on the students of computer programming course in Instructional and Learning Technology (ILT) department at College of Education, Sultan Qaboos University (SQU). The students’ learning achievement and motivation were measured by two instruments, Programming Achievement Test and Survey of Student Motivation respectively. One-group pretest-posttest qusai-experimental design has been followed. The sample, which consisted of 18 students, was taught some selective topics of the computer programming perquisite using the VFC model. A pretest and posttest are administered before and after using the VFC model. The researchers used independent sample t-test and multivariate analysis of variance (MANOVA) to analyze the data obtained. Findings indicated a significant difference in the learning achievement and motivation before and after applying the VFC model. The differences were in favor of VFC model. Further analysis showed that the new model contributed to the improvement of performance of low achievers students