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Mitigating XML Injection Zero-Day Attack through Strategy-based Detection System
PrePrint
ISSN: 1540-7993
| ASCII Text | x | ||
| Thiago Mattos, Altair Santin, Andreia Malucelli, "Mitigating XML Injection Zero-Day Attack through Strategy-based Detection System," IEEE Security & Privacy, vol. 99, no. 1, pp. , , 5555. | |||
| BibTex | x | ||
| @article{ 10.1109/MSP.2012.83, author = {Thiago Mattos and Altair Santin and Andreia Malucelli}, title = {Mitigating XML Injection Zero-Day Attack through Strategy-based Detection System}, journal ={IEEE Security & Privacy}, volume = {99}, number = {1}, issn = {1540-7993}, year = {5555}, doi = {http://doi.ieeecomputersociety.org/10.1109/MSP.2012.83}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Security & Privacy TI - Mitigating XML Injection Zero-Day Attack through Strategy-based Detection System IS - 1 SN - 1540-7993 SP EP EPD - A1 - Thiago Mattos, A1 - Altair Santin, A1 - Andreia Malucelli, PY - 5555 VL - 99 JA - IEEE Security & Privacy ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MSP.2012.83
WEB services have increasingly been adopted nowadays and therefore been targeted by attackers. The underlying technologies used by them bring known vulnerabilities to this new environment. The classical approach for attack detection either produce high false positive detection rates or cannot detect attack variations − leading to zero-day attacks. This paper applies ontology to build a strategy-based knowledge attack database. It is a novel hybrid attack detection engine, bringing together the main advantages of signature and knowledge-based classical approaches. Moreover, it is capable of mitigating zero-day attacks for XML injection, with no false positive detection rate.
Citation:
Thiago Mattos, Altair Santin, Andreia Malucelli, "Mitigating XML Injection Zero-Day Attack through Strategy-based Detection System," IEEE Security & Privacy, 07 June 2012. IEEE computer Society Digital Library. IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/MSP.2012.83>
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