Publication:
Analyzing SQL Injection Statements Using Common Substructure of Parse Tree

dc.contributor.authorWarradorn Sirisangen_US
dc.contributor.authorVasin Suttichayaen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2019-08-23T10:55:22Z
dc.date.available2019-08-23T10:55:22Z
dc.date.issued2018-08-21en_US
dc.description.abstract© 2017 IEEE. This paper proposes a SQL injection detection method by analyzing substructure of SQL statement. The proposed method consists of 2 parts, Automated Common Substructure Extracting (ACSE) and Parse Tree Substructure Matching (PTSM). ACSE attempts to extract the duplicated substructures that appear in parse trees of SQL injection statements. PTSM uses the extracted parse tree from ACSE for identifying malicious portions in user's input statements. It also calculates the similarity between the common substructure and input statements. Experimental results show that the proposed method gains an accuracy greater than 90 percent.en_US
dc.identifier.citationICSEC 2017 - 21st International Computer Science and Engineering Conference 2017, Proceeding. (2018), 19-23en_US
dc.identifier.doi10.1109/ICSEC.2017.8443774en_US
dc.identifier.other2-s2.0-85053469714en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/45591
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85053469714&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.titleAnalyzing SQL Injection Statements Using Common Substructure of Parse Treeen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85053469714&origin=inwarden_US

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