Title
SECURE-D:Framework For Detecting and Preventing Attacks in SQL and NoSQL Databases
Abstract
The advancements in internet technology have attracted more users for web applications over recent years. Users’ confidential data are stored in databases thus heightening the security needs. Lack of secure coding in web application causes data threats. Database security plays an important role in information security. Access to database grants attackers control over sensitive information. The SQL and NoSQL injection attacks are categorized as dangerous attacks by the Open Web Application Security Project (OWASP). This work presents a framework for improving website security by detecting and preventing attacks in SQL and NoSQL databases. The proposed system is tested on vulnerable web applications and its efficacy is compared to that of two other systems. Other systems can detect attacks in either SQL or NoSQL databases but not both together. However, the proposed and implemented system can detect and prevent attacks in both SQL and NoSQL databases.
Year
DOI
Venue
2022
10.1109/ISDFS55398.2022.9800805
2022 10th International Symposium on Digital Forensics and Security (ISDFS)
Keywords
DocType
ISBN
Database security,SQL injection,NoSQL injection,Open Web Application Security Project (OWASP)
Conference
978-1-6654-9797-8
Citations 
PageRank 
References 
0
0.34
2
Authors
2
Name
Order
Citations
PageRank
V. O. Jithin100.34
Narayanan Subramanian200.34