Applying Data Analytics to Development of the Web Based Information Security Career Systems

Authors

  • Ming Wang, Hong Liu, and Drew Hwang Author

Keywords:

Data analytics, information security education, information security career, data mining

Abstract

This paper proposes a case to build a Web-based 
information/cyber security (ICS) career system for smart education using Web data analytical technology. The proposed system will automatically monitor and extract the new ICS job openings as well as the specific knowledge, skills, certificates or degrees required for the job openings from a variety of career Web sites, and classify these jobs by location, job title, skill, certificate, and degree requirement.  This Web ICS career 
analytics system will serve the immediate needs of students and employers in the ICS field and will have great impacts on ICS job placement, curriculum development and industrial recruitment and work as a bridge to connect faculty and students in academia to prospective ICS employers and to improve ICS career education. The paper innovatively applies Web data analytical technology (data extraction, data mining, 
machine learning, data analytics and visualization) to ISC career development. The proposed case will be implemented with open source data analytics software tools GATE [1] and Weka [2].

Downloads

Download data is not yet available.

Downloads

Published

06.09.2012

How to Cite

Applying Data Analytics to Development of the Web Based Information Security Career Systems . (2012). International Journal of Information and Electronics Engineering, 2(5), 806-809. https://ijiee.org/index.php/ijiee/article/view/227