Prevention techniques of code injection/vulnerabilities for web applications
Abstract & Details
Research Area
Computer Engineering
Keywords
SQL injection
honeypot
snort
iptables
SQL injection prevention technique
Abstract
Security remains a major challenge to the entire web community. Web-applications are easily compromised due to security reason. Moreover, one of the major reason for exploitation of web application is user input i.e. user input is being processed in an unsafe manner.
SQL injection has been a threat for more than 15 years, so it is astonishing to recognize that it is still one of the top data threats to organizations. SQL Injection is an attack used to exploit user applications that build SQL statements from user-supplied input. Proper neutralization of special characters used in an SQL Command is needed to avoid the SQL injection. Existing IDS base prevention system working on predefined rules but they are not enough and stable. So, in order to prevent web application database from SQL Injection Attack, we propose a prevention technique.
In this Prevention Technique, threat logs are generated of the attacker using SNORT. Attackers request will forward and log in Honeypot. From the Honeypot, a Block list would be created; this list will be blocked by iptables in Web Application Machine. If an attacker is successful to bypass a layer of SNORT, MAC address of the attacker will be blocked in iptables and the database is already secured with ASCII which will not allow any attacker to attack the database.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Bonny A. Thacker | GTU PG School, Ahmedabad |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Thacker, Bonny A. (2017). Prevention techniques of code injection/vulnerabilities for web applications. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 3893-3898.
MLA Style
Thacker, Bonny A.. "Prevention techniques of code injection/vulnerabilities for web applications." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 3893-3898.
IEEE Style
Bonny A. Thacker, "Prevention techniques of code injection/vulnerabilities for web applications," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 3893-3898, 2017.
Vancouver Style
Thacker Bonny A.. Prevention techniques of code injection/vulnerabilities for web applications. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):3893-3898.
Harvard Style
Thacker, Bonny A. (2017) 'Prevention techniques of code injection/vulnerabilities for web applications', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 3893-3898.
Chicago Style
Thacker, Bonny A.. "Prevention techniques of code injection/vulnerabilities for web applications." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 3893-3898.
Turabian Style
Thacker, Bonny A.. "Prevention techniques of code injection/vulnerabilities for web applications." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 3893-3898.
Related Research
Comprehensive Review of Existing Chatbot Systems for Career Assistance, Resume Support, and ATS-Aware Guidance
PDF Unavailable
Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement
PDF Unavailable
A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
PDF Unavailable
Civic Engagement & Empowerment Platform
PDF Unavailable
Recent Developments in Microneedle Technology and Its Diverse Biomedical Applications
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
PDF Unavailable
Employee Performance Portal
PDF Unavailable