DocumentCode
2413284
Title
Computational Evaluation of Software Security Attributes
Author
Walton, G.H. ; Longstaff, T.A. ; Linger, R.C.
Author_Institution
Software Eng. Inst., Carnegie Mellon Univ., Pittsburgh, PA
fYear
2009
fDate
5-8 Jan. 2009
Firstpage
1
Lastpage
10
Abstract
In the current state of practice, security properties of software systems are typically assessed through subjective, labor-intensive human evaluation. Moreover, much of the quantitative security analysis research to date is characterized by the development of approximate solutions and/or based on assumptions that severely constrain the operational utility of the results. In order to achieve a dramatic increase in maturing the discipline of software security engineering, a fundamentally different approach to analysis and evaluation of security attributes is required. The computational security attributes (CSA) approach to software security analysis provides a new approach for specification of security attributes in terms of data and transformation of data by programs. This paper provides an introduction to the CSA approach, provides behavioral requirements for several security attributes, and discusses possible application of the CSA approach to support analysis of security attributes during software development, acquisition, verification,and operation.
Keywords
program verification; security of data; software engineering; software maintenance; behavioral requirement; computational security attribute evaluation; labor-intensive human evaluation; quantitative software security engineering; security of data; software acquisition; software development; software operation; software verification; Application software; Data security; Databases; Educational institutions; Humans; Laboratories; Physics computing; Programming; Software engineering; Software systems;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences, 2009. HICSS '09. 42nd Hawaii International Conference on
Conference_Location
Big Island, HI
ISSN
1530-1605
Print_ISBN
978-0-7695-3450-3
Type
conf
DOI
10.1109/HICSS.2009.122
Filename
4755420
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