تشخیص و پیشگیری از حملات تزریق SQL در زمان اجرا با استفاده از طبقه‌بندی درخت تصمیم

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشگاه آزاد اسلامی واحد قم

2 موسسه غیر انتفاعی تعالی قم

چکیده

استفاده از برنامه‌های کاربردی وب به‌طور فزاینده‌ای در فعالیت روزمره ما، مانند خواندن اخبار، پرداخت صورت حساب و خرید آنلاین محبوب شده است. با افزایش در دسترس‌ بودن این خدمات، شاهد افزایش تعداد و پیچیدگی حملاتی هستیم که برنامه‌های کاربردی وب را هدف قرار می‌دهند. تزریق SQL، یکی از جدی‌ترین تهدیدها برای برنامه‌های کاربردی وب در فضای سایبری محسوب می‌شود. حملات تزریق SQL، به مهاجمان اجازه می‌دهند تا دسترسی نامحدود به پایگاه داده‌ای که برنامه کاربردی و اطلاعات بالقوه حساس را شامل می‌شوند، به‌دست ‌آورند. اگرچه محققان و متخصصان، روش‌های مختلفی برای حل مسئله تزریق SQL، پیشنهاد کرده‌اند، اما رویکرد‌های فعلی یا به­طور کامل برای حل محدوده‌ای از مشکل شکست خورده‌اند، یا محدودیت‌هایی دارند که از استفاده و پذیرش آن‌ها جلوگیری می‌کند. این تحقیق بر آن است که یک روش، برای تشخیص و پیشگیری از حملات تزریق SQL در زمان اجرا ارائه دهد، که می‌تواند حملات موجود و جدید را تشخیص دهد، به‌علاوه بر حملات به‌طور مداوم نظارت کند. روش تشخیص و پیشگیری پیشنهادی، با نظارت زمان اجرا و به‌کارگیری طبقه‌بندی درخت تصمیم بر روی پایگاه داده تزریق SQL، حملات تزریق  SQLموجود را مسدود می‌کند همچنین با استفاده از ناظر پایگاه داده حملات جدید را تشخیص می‌دهد. در پایان، روش پیشنهادی، با دیگر روش‌های تشخیص و پیشگیری از حملات تزریق SQL موجود، مقایسه می‌شود، نتایج به‌دست‌آمده نشان می‌دهد، که روش پیشنهادی، به‌طور قابل توجهی در تشخیص و پیشگیری از حملات تزریق SQL موفق است. دقت روش پیشنهادی در مقایسه با دو روش مورد مقایسه مقاله به ترتیب %12 و 16% افزایش یافته است.

کلیدواژه‌ها

عنوان مقاله [English]

Detection and Prevention of SQL Injection Attacks at Runtime Using Decision Tree Classification

نویسندگان [English]

  • A. Shahidinejad 1
  • M. Torabi 2
1 مدیر گروه تحصیلات تکمیلی/دانشگاه آزاد اسلامی واحد قم
2 Information Security, Taali University
چکیده [English]

The use of web applications has become increasingly popular in our routine activities, such as reading the news, paying bills, and shopping on-line. As the availability of these services grows, we are witnessing an increase in the number and sophistication of attacks that target web applications. SQL injection attacks are a serious security threat to web applications in the cyberspace. SQL injection attacks allow attackers to gain unlimited access to a database that includes                 applications and potentially sensitive information. Although researchers and practitioners have proposed different methods to solve the SQL injection problem, current approaches either fail to solve the full scope of the problem or have limitations that prevent their use and adoption. This study is designed to provide a method for detecting and preventing SQL injection attacks at runtime, which can detect and continuously monitor the existing and new attacks. The proposed detection and          prevention method by runtime monitoring and implementation of the decision tree classification on the SQL injection database, blocks existing SQL injection attacks and also detects new attacks using the database supervisor. In the end, the proposed method is compared with other methods for detecting and preventing existing SQL injection attacks, the results showing that the proposed method is significantly successful in detecting and preventing SQL injection attacks. Compared to the two methods explored in this article, the presented method increases the accuracy by 12% for one method and 16% for the other.
 

کلیدواژه‌ها [English]

  • Web Applications
  • Database Security
  • SQL Injection Attacks
  • Detection
  • Prevention

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  • تاریخ دریافت: 06 اردیبهشت 1400
  • تاریخ پذیرش: 06 اردیبهشت 1400
  • تاریخ انتشار: 06 اردیبهشت 1400

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