SQL Injection Attack: Quick View

V. Abdullayev, Dr. Alok Singh Chauhan
{"title":"SQL Injection Attack: Quick View","authors":"V. Abdullayev, Dr. Alok Singh Chauhan","doi":"10.58496/mjcs/2023/006","DOIUrl":null,"url":null,"abstract":"SQL injection is a type of security vulnerability that occurs in database-driven web applications where an attacker injects malicious code into the application to gain unauthorized access to sensitive information. This paper aims to provide a comprehensive and systematic review of the existing methods for preventing and detecting SQL injection attacks. The review covers a range of techniques, including input validation, parameterized queries, and intrusion detection systems, as well as the advantages and disadvantages of each method. The most common prevention techniques include input validation, parameterized queries, and stored procedures, while the most common detection techniques include intrusion detection systems (IDS), honeypots, and signature-based detection. The choice of method will depend on the specific requirements of the organization and the level of security required. Still, a combination of prevention and detection methods is likely to be the most effective way to secure web applications against SQL injection attacks. The paper concludes that SQL injection attacks continue to be a significant security threat to web applications, and it is essential for organizations to implement effective prevention and detection methods to secure their web applications against SQL injection attacks.","PeriodicalId":369414,"journal":{"name":"Mesopotamian Journal of Cyber Security","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mesopotamian Journal of Cyber Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.58496/mjcs/2023/006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

SQL injection is a type of security vulnerability that occurs in database-driven web applications where an attacker injects malicious code into the application to gain unauthorized access to sensitive information. This paper aims to provide a comprehensive and systematic review of the existing methods for preventing and detecting SQL injection attacks. The review covers a range of techniques, including input validation, parameterized queries, and intrusion detection systems, as well as the advantages and disadvantages of each method. The most common prevention techniques include input validation, parameterized queries, and stored procedures, while the most common detection techniques include intrusion detection systems (IDS), honeypots, and signature-based detection. The choice of method will depend on the specific requirements of the organization and the level of security required. Still, a combination of prevention and detection methods is likely to be the most effective way to secure web applications against SQL injection attacks. The paper concludes that SQL injection attacks continue to be a significant security threat to web applications, and it is essential for organizations to implement effective prevention and detection methods to secure their web applications against SQL injection attacks.
SQL注入攻击:快速查看
SQL注入是一种发生在数据库驱动的web应用程序中的安全漏洞,攻击者将恶意代码注入应用程序以获得对敏感信息的未经授权的访问。本文旨在对现有的SQL注入攻击的预防和检测方法进行全面和系统的回顾。这篇综述涵盖了一系列技术,包括输入验证、参数化查询和入侵检测系统,以及每种方法的优缺点。最常见的预防技术包括输入验证、参数化查询和存储过程,而最常见的检测技术包括入侵检测系统(IDS)、蜜罐和基于签名的检测。方法的选择将取决于组织的具体要求和所需的安全级别。尽管如此,预防和检测方法的结合可能是保护web应用程序免受SQL注入攻击的最有效方法。本文的结论是,SQL注入攻击仍然是web应用程序的一个重大安全威胁,组织必须实施有效的预防和检测方法,以保护其web应用程序免受SQL注入攻击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信