Journal of Engineering Education Transformations

Journal of Engineering Education Transformations

Year: 2017, Volume: 30, Issue: 3, Pages: 123-129

Original Article

Encourage Research Thinking in Network Domain Using Traffic Analysis Tool

Abstract

Explosive growth of Computer network technologies and use of these technologies have led a new thinking for researcher. In recent days the research focus in network domain is on areas like, Performance measurement of broadband and mobile access networks, Censorship measurement and circumvention, Software-defined networking (SDN), Internet of Things (IoT) security. This has created a challenge to the academicians to make students think towards these research fields and to adopt activity based teaching learning techniques to deliver the basics as well as the advanced concepts of computer network. As most of the students are visual learner teaching computer networking principles can be enhanced using simulation through the use of interactive simulation. With networking simulation tools, students can construct, tune, and analyze network performance while reinforcing their understanding of networking theory.The course expects the students should have an ability to understand the concepts, design and analyze the performance of the network. Experience of authors says that have an ability to understand the network concepts but they lack in analysis. So authors have put effort to address the lacunae. The activity has been designed by integrating theory and laboratory course on computer network which focuses on network traffic analysis by applying the concepts learnt. Wire Shark traffic analysis tool is used by students to capture the real time data and analyze the data for the selected network protocol. The paper discusses the design, conduction of activity, in computer network course focusing on analysis on network traffic which in turn created a space to think on research related to the network domain. Through this activity we could attain course outcome 3 and Program outcome (PO) 4 and 5 which is more than 80%.

References

  • Thomas Allmer, "Research Design & Data Analysis, Presentation, and Interpretation: Part One The Internet & Surveillance" - Research Paper Series: 2012 (http://www.sns3.uti.at) David R. Surma, "Lab Exercises and Learning Activities for Courses in Computer Networks", 33 ASEE/IEEE Frontiers in Education Conference, November 5-8, 2003, Boulder, CO.
  • Jes�s Exp�sito, Valentina Trujillo, and Eric Gamess, "Using Visual Educational Tools for the Teaching and Learning of EIGRP", Proceedings of the World Congress on Engineering and Computer Science 2010 Vol IWCECS 2010, October 20-22, 2010, SanFrancisco, USA"
  • GerhardM�unz,Georg Carle, "Real-timeAnalysis of Flow Data for Network Attack Detection" European research project and partly funded by the European Commission (FP6 IST-2002-002154).
  • Network Analysis by NigelTrodd 2005.
  • Vijayalakshmi M., Padmashree Desai, Meenaxi M. Raikar, "Packet Tracer Simulation Tool as Pedagogy to Enhance Learning of Computer Network Concepts", IEEE MITE conference 2016.
  • http://www.gfi.com/
  • http://www.nyu.edu/

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