Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.

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Published by
The International Institute of Informatics and Cybernetics


Re-Published in
Academia.edu
(A Community of about 40.000.000 Academics)


Honorary Editorial Advisory Board's Chair
William Lesso (1931-2015)

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org
 

Editorial Advisory Board

Quality Assurance

Editors

Journal's Reviewers
Call for Special Articles
 

Description and Aims

Submission of Articles

Areas and Subareas

Information to Contributors

Editorial Peer Review Methodology

Integrating Reviewing Processes


A Sign Language Learning Application for Children with Hearing Difficulties
Kuniomi Shibata, Akira Hattori, Sayaka Matsumoto
(pages: 1-6)

An Experience Mapping Method for Delayed Understanding in STEM Education
Masaaki Kunigami, Takamasa Kikuchi, Takao Terano
(pages: 7-16)

Refining the Art of Judgment Education: Evaluation of an Educational Case Study on Making Judgments About the Pros and Cons of COVID-19 Vaccination During the Pandemic
Ariyoshi Kusumi, Yasukazu Hama
(pages: 17-22)

A New Digital Culture in Architecture and Engineering Design Classes with Technological Advances
Mozart Joaquim Magalhães Vidigal, Renata Maria Abrantes Baracho, Marcelo Franco Porto
(pages: 23-28)

Using Federated Learning for Collaborative Intrusion Detection Systems
Matteo Rizzato, Youssef Laarouchi, Christophe Geissler
(pages: 29-36)

Design and Development of an Application for the Generation of Garment Patterns Based on Body Measurements Using CNN
Geraldine Curipaco, Jeiel Tarazona, Daniel Subauste
(pages: 37-46)

Data-Driven Security Measurements to Improve Safety in NYC and NJ Mass Transit
Nithya Nalluri, Michael Bsales, Christie Nelson
(pages: 47-55)

A Review on Security and Privacy of Smart Cities
Abdulhakim Alsaiari, Mohammad Ilyas
(pages: 56-62)

Use of Audience Response Systems to Enhance Student Engagement in Online Synchronous Environments: An Exploratory Study
Trevor Nesbit, Angela Martin
(pages: 63-68)


 

Abstracts

 


ABSTRACT


Machine Learning Based IP Network Traffic Classification Using Feature Significance Analysis

Te-Shun Chou, John Pickard, Ciprian Popoviciu


After over 30-year deployment, IPv4 addresses are running short on supply with the growth of the Internet so dynamic. A new technology will take its place, IPv6, an evolution from IPv4 that includes virtually unlimited address space. However, it will take time to totally transit from IPv4 to IPv6. IPv6 will coexist with IPv4 for a period of time and then eventually replace IPv4.

This paper studied network traffic that included information of both IPv4 and IPv6. The traffic was collected from 600 US government websites that were all reported to have Domain Name Services (DNS) and Web services accessible over IPv4 and IPv6. Cloud based, Internet distributed monitoring agents were deployed in eight geographic locations to collect data. Both feature selection algorithms, filter and wrapper, were applied to the dataset and the classification accuracy was then studied. The results showed that feature selection algorithms effectively reduced the complexity of the classification model. The results also confirmed that the reduced feature set contributed a superior classification performance over full feature set.

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