— 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  and Weka .
— Data analytics, information security education, information security career, data mining
Ming Wang is with Information Systems California State University, Los Angele (e-mail: email@example.com)
Hong Liu i is with Math and Computing, Embry-Riddle Aeronautical University (e-mail: firstname.lastname@example.org)
Drew Hwang is with Computer Information Systems, California State Polytechnic University (e-mail: email@example.com)
Cite: Ming Wang, Hong Liu, and Drew Hwang, " Applying Data Analytics to Development of the Web- Based Information Security Career Systems," International Journal of Information and Electronics Engineering vol. 2, no. 5, pp. 806-809, 2012.