Introduction
MySQL’s use as an open-source management framework for relational databases is widespread in the data industry. In reality, some of the globe’s most popular websites and web apps, including YouTube, Facebook, WordPress, phpBB, and Twitter, utilize this technology (Isiaka et al., 2020). Therefore, this essay sheds light on MySQL’s database security and threats. In addition, the paper provides insight into MySQL computer-based controls and backup and recovery strategies.
MySQL’s Database Security
Database security entails the steps implemented to safeguard a network or information management solution against unauthorized access and destructive cyberattacks and assaults. Individuals and businesses can improve the protection of their MySQL database by implementing the following MySQL guiding principles. People should avoid operating MySQL with root rights and instead use a designated user profile with the minimum credentials necessary to execute a service (Zaw et al., 2019). In addition, MySQL should be safeguarded in the cloud, as cloud hosting companies are likely to offer encryption offerings to protect users’ databases.
MySQL Threats
MySQL has a few safety concerns in conjunction with its sibling systems and a few that are distinct. A database vulnerability is any scenario or occurrence that can adversely affect an IS by illegal network connectivity, deletion, exposure, alteration, or service obstruction. Most database risks include uncontrolled non-SQL and SQL assault payloads inserted into database queries. Distributed denial of service (or DDoS) exploits are one of the most popular brute-force attempts on MySQL databases. The intruders use multiple accounts to bombard the system with bogus requests at a high rate (Sanfilippo et al., 2019). In addition, MySQL is susceptible to SQL injection attacks, in which an attacker introduces operations into query sequences instead of flooding the database with fictitious questions (Mukhtar & Azer, 2020). These inserted instructions can cause harm to the system and can be exploited to acquire or destroy information.
Computer-Based Controls
Computer-based interfaces are configured to interact with and monitor a complete information handling system or special handling equipment. Access control ensures that persons are who they claim to be and have the right amount of access to firm data. Discretionary access control (DAC) models include structures in which the database administrator determines authorization. A standard illustration of DAC is the UNIX file format, which specifies the read, create, and operate rights for each account, company, and others in each of the three components (Kashmar et al., 2019). Moreover, role-based access control (RBAC) gives access depending on a user’s responsibility and incorporates essential safety concepts such as segregation of duties and least privilege (Nazerian et al., 2019). A set of policies that allow users to read, modify, or discard publications in a writing program is an example of RBAC access control.
Backup and Recovery Strategies
Producing and maintaining duplicates of information that can be used to safeguard businesses against data loss is referred to as recovery and backup. MySQL supports both physical and logical restores. The physical backup comprises identical copies of MySQL directories and files, such as a full or partial duplicate of the MySQL datadir folder. Logical restoration is a snapshot of a website’s normative framework (CREATE DATABASE, CREATE TABLE instructions) and material (INSERT operations) that is advised for smaller quantities of data.
Conclusion
Data is an essential asset that any business develops, acquires, stores, and trades. A corporation is protected against economic damage, reputational injury, a decline in public confidence, and trademark erosion by preventing internal or external malfeasance and unauthorized disclosure. Individuals and businesses utilizing MySQL should secure it online, as cloud hosting providers will likely provide encryption technologies to shield users’ accounts. In addition, companies can adopt DAC models that incorporate authorization mechanisms determined by the database administrator to secure MySQL.
References
Isiaka, F. M., Audu, S. A., & Umar, M. A. (2020). Developing a fail-safe culture in a cyber environment using MySQL replication technique. International Journal of Crowd Science, 4(2), 149-170. Web.
Sanfilippo, J., Abegaz, T., Payne, B., & Salimi, A. (2019). Stride-based threat modeling for MySQL databases. In Proceedings of the Future Technologies Conference (pp. 368-378). Springer.
Mukhtar, B. I., & Azer, M. A. (2020). Evaluating the modsecurity web application firewall against SQL injection attacks. In 2020 15th International Conference on Computer Engineering and Systems (pp. 1-6). IEEE.
Kashmar, N., Adda, M., & Atieh, M. (2019). From access control models to access control metamodels: A survey. In Future of Information and Communication Conference (pp. 892-911). Springer.
Nazerian, F., Motameni, H., & Nematzadeh, H. (2019). Emergency role-based access control (E-RBAC) and analysis of model specifications with alloy. Journal of Information Security and Applications, 45, 131-142. Web.
Zaw, T. M., Thant, M., & Bezzateev, S. V. (2019). Database security with AES encryption, elliptic curve encryption and signature. In 2019 Wave Electronics and its Application in Information and Telecommunication Systems (pp. 1-6). IEEE.