Title: Numerical and Statistical Analysis on Information Security Using R: Interoperability Perspective

Issue Number: Vol. 6, No. 1
Year of Publication: March - 2017
Page Numbers: 23-34
Authors: Kerim Goztepe
Journal Name: International Journal of Cyber-Security and Digital Forensics (IJCSDF)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P002240

Abstract:


Over the past two decades, information and communication technology (ICT) have gained enormous effect on social-business life more than ever. ICT has become increasingly important not only for life but also national security. Interoperability among ICTs is also a vital topic to support national security. The term “interoperability” covers a nation’s information telecommunication networks, critical infrastructures, intelligence and military systems which are all vulnerable to growing number of cyber-attacks from inside and outside. The purpose of this study is to examine and statistically analyze the importance of interoperability applying cost, cyber espionage (CE), cyber warfare (CW), hacktivism (HA) and cyber-crime (CC) criteria based on available information about cyber-attacks to governmental organizations or critical infrastructure. For this goal, obtained dataset from opensource has been analyzed. Firstly, Shapiro-Wilk and AndersonDarling is applied for checking normality of the data. After this, a regression model is developed to see the relation between cost and cyber-attacks types. The results have shown that cyber-attacks affect interoperability environment and cause losing great financial resources. Thus, not only governments but also business world should pay more attention to develop advanced security integration models.