Title
An Analysis of Software Supportable Tasks Related with ISO/IEC 15408
Abstract
From the perspective of information security engineering, ISO/IEC 15408, one of ISO/IEC security standards, plays an important role to ensure the whole security of an information/software system. ISO/IEC 15408 is a complex security standard which requires involvement of wide range of participants to perform a quite number of tasks as well as various documents. ISO/IEC 15408 is periodically reviewed and maintained to achieve ongoing improvement so that workflow of tasks and contents/format of documents related with the standard are changed according to changes of the standards. Consequently, it is difficult to do all of the tasks related with ISO/IEC 15408 without any supporting tools. However, there is no study to identify which tasks related with ISO/IEC 15408 can be supported by software tools. Indeed, no one makes clear what the tasks and participants exist. This paper presents the first analysis to identify all software supportable tasks related with ISO/IEC 15408. The paper enumerates all of the participants, documents, and tasks related with ISO/IEC 15408 and shows relationship among them, and identifies all software supportable tasks. The analysis and its results become a basis to construct an information security engineering environment based on ISO/IEC 15408 for ensuring the whole security of an information/software system.
Year
DOI
Venue
2013
10.1109/CIS.2013.132
CIS
Keywords
Field
DocType
software system,software supportable,information security engineering,important role,software tool,whole security,information security engineering environment,ongoing improvement,complex security standard,iec security standard,software supportable task,information systems
ITIL security management,Standard of Good Practice,Computer science,Common Management Information Service,Software system,Software,Artificial intelligence,Software engineering,Information security,Certified Information Systems Security Professional,Information security management system,Database,Machine learning
Conference
Citations 
PageRank 
References 
3
0.67
0
Authors
4
Name
Order
Citations
PageRank
Ning Zhang131.01
Ahmad Iqbal Hakim Suhaimi231.35
Yuichi Goto312622.31
Jingde Cheng454285.38