DocumentCode :
18009
Title :
Mitigating XML Injection 0-Day Attacks through Strategy-Based Detection Systems
Author :
Rosa, T.M. ; Santin, A.O. ; Malucelli, A.
Volume :
11
Issue :
4
fYear :
2013
fDate :
July-Aug. 2013
Firstpage :
46
Lastpage :
53
Abstract :
The underlying technologies used by Web services bring known vulnerabilities to a new environment as well as increased targeting by attackers. The classical approaches--knowledge and signature based, respectively--for attack detection either produce high false positive detection rates or fails to detect attack variations, leading to 0-day attacks. To counter this trend, an ontology can help build a strategy-based knowledge attack database. A novel hybrid attack detection engine brings together the main advantages of knowledge- and signature-based classical approaches. Moreover, it is capable of mitigating 0-day attacks for XML injection, with no false positive detection rates.
Keywords :
Web services; XML; database management systems; digital signatures; ontologies (artificial intelligence); Web services; XML injection 0-day attack mitigation; attack detection; hybrid attack detection engine; knowledge classical approach; ontology; signature based classical approach; strategy-based detection system; strategy-based knowledge attack database; Computer security; Databases; Intrusion detection; Ontologies; Security; Web services; XML; 0-day attack; Web services; XML injection; intrusion detection system; ontology; zero-day;
fLanguage :
English
Journal_Title :
Security & Privacy, IEEE
Publisher :
ieee
ISSN :
1540-7993
Type :
jour
DOI :
10.1109/MSP.2012.83
Filename :
6216348
Link To Document :
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