Ahmad, R., Samy, G.N., Ibrahim, N.K., Bath, P.A. and Ismail, Z. (2010) Threats identification in healthcare information systems using genetic algorithm and cox regression. Journal of Information Assurance and Security , 5 (1). pp. 154-161. ISSN 1554-1010Full text not available from this repository.
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.
|Keywords:||Healthcare Information Systems (HIS), Risk Analysis, Threats, Information Security, Genetic Algorithm and Cox Regression|
|Institution:||The University of Sheffield|
|Academic Units:||The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)|
|Depositing User:||Miss Anthea Tucker|
|Date Deposited:||26 Feb 2010 11:48|
|Last Modified:||26 Feb 2010 11:48|
|Publisher:||Dynamic Publishers Inc.|