Running head: DATABASE SECURITY ASSESSMENT 1
DATABASE SECURITY ASSESSMENT 5
Database Security Assessment.
Vestige Inc Database Security Assessment.
As a software organization, the database of Vestige Inc. has to be connected with that of Vestige’s parent organization to ensure that there is a smooth transition in the company’s operations. As asked by the parent organization, Vestige Inc. is required to make an assessment of its systems and ensure that it’s secure from attacks. Various methods, software, and tools are used in checking how secure the database is. The technique is used in checking the data entry, the database physical and logical schema, health, the data itself, etc.
A number of tests should be done to assess the vestige database system and evaluate its performance and security levels. The general layout of a security assessment procedure comprises various attributes, i.e., efficiency, accuracy, impacts on fabrication system, breadth of analysis (Juma & Makupi, 2017).
There are various practices used in database security that play a significant role in protecting the database from hackers and at the same time offer freedom to connect with other database systems and remain secure.
Evaluating the security of a database is a technique that checks the susceptibility of databases at a particular time. Initial threat elements are assessed by gauging the database’s predisposition to various security flaws and attacks. The dataset assessment helps to identify the limitations and strengths of the database. Professionals recommend precautions to better the flaws and develop their capacity. The assessment is expected to give recommendations for potential enhancement and necessary customization.
Most assessments may not be efficient to go through the information on the database to pinpoint the state of the flaws identified (Fernando, n.d.). A good example is a flaw in the XP sprintf overspill buffer used in the SQL server. Also, XP sprintf is a stored process that hackers are likely to fail in leveraging or obtain the server.
A database should have physical security should do more than providing an essential list of weaknesses. This is because similar kinds of lists can’t be acted upon. Administrators can work on rectifying all the vulnerabilities listed sequentially, and this may not turn out to be a success.
The breadth of analysis.
To ensure that the software safety assessment is effectively done, there are various tests that should be carried out involving the device settings, regulatory oversight, handling privilege, knowing bugs on the system, and outer objects (Vijayakumar & Arun, 2019). This involves keeping the database safe, using security protocols to lock the ecosystem to ensure that the unauthorized personnel is maintained out. Ensuring that the dataset removed from data centers software running machines are kept on a different device.
A firewall ensures that there is no information disclosure and protects servers from central database security risk. Acceptable traffics should only come from different data centers or uses that require information access. In most organizations, data stored should always be encrypted (Fernando, n.d.). Saved tapes should also be encrypted and stored separately with the decryption keys.
With proper monitoring, experts should detect any hacking activities on an account, dataset assaults, or unusual activities by employees. It also helps raise a red flag if the users exchange or share accounts and go an extra mile to warn them of doing so without permission. Database Activity monitoring tools can also be used in monitoring that is independent of basic SQL audit and dredging. It’s also used by admin to manage their activities. All the tools mention play a significant role in evaluating database security and ensure that the database is shareable and at the same time secure under the various suggestions made above.
Fernando, K. C. (n.d.). E-Banking: A Review of Database Security Issues.
Juma, J., & Makupi, D. (2017). Understanding Database Security Metrics: A Review.
Vijayakumar, K., & Arun, C. (2019). Continuous security assessment of cloud based applications using distributed hashing algorithm in SDLC. Cluster Computing, 22(5), 10789–10800.