연구 분야: Databases
학회: 2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)
In todays world, there are billions of applications on the internet holding a lot of user data which automatically increases the threat of being attacked by hackers. Often User privacy and data are Susceptible to being compromised. To prevent this situation, Web Application Firewalls (WAF) would play an important role. In this research work, we will be exploring on preventing SQL Injection and Cross-Site Scripting (XSS) with a few machine learning models. We will also be suggesting a method to improvise security by introducing a honeypot in the Network architecture. This unique approach will notify the owner of the application to take necessary actions while giving a fake response to the attackers.
| 발행 연도 | 2021년 |
|---|---|
| 인용수 | 6 |
| 출판 국가 | India |
| 사이트 | IEEE |
| 좋아요 수 | 0 |