SQL Injection Attacks
The increased advancement in computer technology is facilitating the development of extensive information infrastructures. The utilization of this information infrastructures is increasing the amount of data stored in different databases. However, the data is vulnerable to unauthorized access by attackers who utilize SQL injection techniques. An SQL injection allows the attacker to access and change critical information in the database irresponsibly (Alwan & Younis, 2017). However, the SQL injection technique is not new and has been a threat to multiple high profiles despite the establishment and integration of sophisticated computer systems.
Several companies have fallen prey to SQL injections raising concerns about their security measures. However, a company’s security concerning the SQL injections is relatively tricky as databases continue to utilize the SQL as a query language for effective data management in databases. The SQL model is a critical tool for managing structured data, whereas the NoSQL model helps manage unstructured data (Bjeladinovic, 2018). In this regard, it is clear that all organizations are vulnerable to SQL injections as the attackers can comfortably interfere with the SQL statements executed by the target database server. However, several strategies can be used to reduce the vulnerability to these attacks.
With modern, sophisticated technologies, multiple techniques can be integrated into companies’ computer systems as they prepare to repel more sophisticated attacks. Model-checking, data flow analysis, dynamic analysis, and defensive programming are among the most effective tools that can be used to deter sophisticated attacks (Singh & Kumar, 2020). Additionally, it is also essential to avoid using direct data inputs in the database. Such procedures increase the vulnerability of the company’s databases to attacks; instead, an indirect approach should be prioritized. Lastly, it is essential to focus on the utilization of whitelists when filtering and verifying user inputs.
References
Alwan, Z. S., & Younis, M. F. (2017). Detection and prevention of SQL injection attack: A survey. International Journal of Computer Science and Mobile Computing, 6(8), 5-17.
Bjeladinovic, S. (2018). A fresh approach for hybrid SQL/NoSQL database design based on data structuredness. Enterprise Information Systems, 12(8-9), 1202-1220.
Singh, S., & Kumar, A. (2020). Detection and Prevention of SQL Injection. International Journal of Scientific Research & Engineering Trends, 6(3), 1642-1646.