DocumentCode
3223264
Title
An empirical property-based model for vulnerability analysis and evaluation
Author
Le, Ha Thanh ; Subramanian, Deepak ; Hsu, Wen Jing ; Loh, Peter Kok Keong
Author_Institution
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2009
fDate
7-11 Dec. 2009
Firstpage
40
Lastpage
45
Abstract
This work presents an empirical property-based model to describe Web-based vulnerability. We define a web application using a new descriptive model with pre-condition, behavior, entity and communication property sets. The vulnerable property relationship graph (VPRG) defines a vulnerability as vulnerable properties in application with relations to other properties in cause- and consequence-relationships. The Vulnerable Property Relationship Matrix (VPRM) is used to quantify the existence vulnerability and to measure its impact according to the relations of vulnerable properties to other properties in execution of the web application. A severity score calculation is proposed based on VPRM: the vulnerability severity score is typically the sum of consequence as a result of state changes of every evolving property in the vulnerable property relationship model. The prototype model is applied to a case study involving specified Web vulnerabilities.
Keywords
Internet; graph theory; security of data; Web-based vulnerability; cause-consequence-relationships; empirical property-based model; severity score calculation; vulnerable property relationship graph; vulnerable property relationship model; Application software; Computer languages; Databases; Engines; Prototypes; Risk analysis; Web server; severity score; vulnerable property relationship graph (VPRG); vulnerable property relationship matrix (VPRM); web application vulnerability;
fLanguage
English
Publisher
ieee
Conference_Titel
Services Computing Conference, 2009. APSCC 2009. IEEE Asia-Pacific
Conference_Location
Singapore
Print_ISBN
978-1-4244-5338-2
Electronic_ISBN
978-1-4244-5336-8
Type
conf
DOI
10.1109/APSCC.2009.5394144
Filename
5394144
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