Applying Data Analytics to Development of the Web-based Information Security Career System
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 10 and Weka 2.
Data analytics Information security education Information security career Data mining
Ming Wang Hong Liu Drew Hwang
Information Systems California State University Los Angeles, CA Mathematics and Computing Embry-Riddle Aeronautical University (ERAU) Computer Information Systems California State Polytechnic University, Pomona, CA
国际会议
成都
英文
1611-1614
2010-12-17（万方平台首次上网日期，不代表论文的发表时间）