{"title":"使用删除SQL查询属性值的注入攻击检测","authors":"Jeom-goo Kim","doi":"10.1109/ICISA.2011.5772411","DOIUrl":null,"url":null,"abstract":"The expansion of the Internet has made web applications become a part of everyday life. As a result the number of incidents which exploit web application vulnerabilities are increasing. A large percentage of these incidents are SQL Injection attacks which are a serious security threat to databases with potentially sensitive information. Therefore, much research has been done to detect and prevent these attacks and it resulted in a decline of SQL Injection attacks. However, there are still methods to bypass them and these methods are too complex to implement in real web applications. This paper proposes a simple and effective SQL Query removal method which uses Combined Static and Dynamic Analysis and evaluates the efficiency through various experiments.","PeriodicalId":425210,"journal":{"name":"2011 International Conference on Information Science and Applications","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"40","resultStr":"{\"title\":\"Injection Attack Detection Using the Removal of SQL Query Attribute Values\",\"authors\":\"Jeom-goo Kim\",\"doi\":\"10.1109/ICISA.2011.5772411\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The expansion of the Internet has made web applications become a part of everyday life. As a result the number of incidents which exploit web application vulnerabilities are increasing. A large percentage of these incidents are SQL Injection attacks which are a serious security threat to databases with potentially sensitive information. Therefore, much research has been done to detect and prevent these attacks and it resulted in a decline of SQL Injection attacks. However, there are still methods to bypass them and these methods are too complex to implement in real web applications. This paper proposes a simple and effective SQL Query removal method which uses Combined Static and Dynamic Analysis and evaluates the efficiency through various experiments.\",\"PeriodicalId\":425210,\"journal\":{\"name\":\"2011 International Conference on Information Science and Applications\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"40\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Information Science and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISA.2011.5772411\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Information Science and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISA.2011.5772411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Injection Attack Detection Using the Removal of SQL Query Attribute Values
The expansion of the Internet has made web applications become a part of everyday life. As a result the number of incidents which exploit web application vulnerabilities are increasing. A large percentage of these incidents are SQL Injection attacks which are a serious security threat to databases with potentially sensitive information. Therefore, much research has been done to detect and prevent these attacks and it resulted in a decline of SQL Injection attacks. However, there are still methods to bypass them and these methods are too complex to implement in real web applications. This paper proposes a simple and effective SQL Query removal method which uses Combined Static and Dynamic Analysis and evaluates the efficiency through various experiments.