Threats Identification in Healthcare Information Systems using Genetic Algorithm and Coz Regression
Threats to information security for healthcare information system increased tremendously. There are various factors contribute to information security threats, many researchers focused only to certain factors which interest them (e.g., virus attack). Certain factors which may be important remain unexplored. In addition, lack of tools and technologies directed to limited number of threats traced in healthcare system. Thus it introduces bias in threat analysis. This study explored the use of biological computational termed Genetic Algorithm (GAs) combined with Cox regression (CoRGA) in identifying a potential threat for healthcare system. The results show that variable described “misused of e-mail is the major information security threats for healthcare system. Results were compared with manual analysis using the same data, and it is shows that GAs not just introducing new threats for healthcare system but it was similar with others threats proposed by previous researches.
Healthcare Information Systems (HIS) Risk Analysis Threats Information Security Genetic Algorithm and Coz Regression
Rabiah Ahmad Ganthan Narayana Samy Nuzulha Khilwani Ibrahim Peter A.Bath Zuraini Ismail
Centre for Advanced Software Engineering (CASE) Faculty of Computer Science and Information Systems Department of Computer Systems and Communications Faculty of Computer Science and Information System Department of Information Studies University of Sheffield,UK Department of Science College of Science and Technology Universiti Teknologi Malaysia (UTM) Malaysia
国际会议
The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)
西安
英文
757-760
2009-08-18（万方平台首次上网日期，不代表论文的发表时间）