Final Project proposal
Please choose a topic from the attachment
Propose and defend a topic for your final project. Write 500 words or more explaining why this topic is important for your peers to understand. Be focused and specific. Look into the general topic provided in the list below to find something new and interesting to write about. You should do a deep dive into a topic. Do not do a survey. Make use of academic references such as you can find in the
Danforth Library research databases
Use at least five sources. Include at least 3 quotes from your sources enclosed in quotation marks and cited in-line by reference to your reference list. Example: “words you copied” (citation) These quotes should be one full sentence not altered or paraphrased. Cite your sources.
Write in essay format, not in bulleted, numbered, or another list format.
| 1. | Database security compliance with anti-money laundering statutes |
| 2. | Risks of overly privileged users |
| 3. | Auditing v. monitoring |
| 4. | Maintaining data integrity with hash functions |
| 5. | Security risks in database migration |
| 6. | Quantitative risk assessment methodologies |
| 7. | Qualitative risk assessment methodologies |
| 8. | Reducing costs with tiered storage |
| 9. | Physical protections for your database |
| 10. | IOT threats to database security |
| 11. | TDE |
| 12. | Tokenization |
| 13. | Global data Integrity violation examples |
| 14. | Efficient disaster recovery |
| 15. | How to effect litigation holds |
| 16. | Data as evidence: what is chain of custody? |
| 17. | Data as evidence: The Federal Rules of Civil Procedure |
| 18. | GDPR Compliance |
| 19. | HIPAA Compliance |
| 20. | SOX Compliance |
| 21. | Database STIGs |
| 22. | ISO Database Security Framework |
| 23. | NIST Database Security Framework |
| 24. | Patch management and the medical device |
| 25. | Strict Liability v. Ordinary Negligence for the DBA |
| 26. | How Oracle 12c advances the security discussion |
| 27. | How Stuxnet exposed the exceptional importance of data integrity |
| 28. | Are Data integrity violations worse than confidentiality breaches? |
| 29. | How the tsunami of data expansion increases security concerns |
| 30. | Mobile users and data security |
| 31. | Why is vulnerability assessment critical for data security? |
| 32. | Legitimate privilege abuse ad how to prevent it |
| 33. | Monitoring your most highly privileged users – what the regulations say. |
| 34. | Creating a database security culture |
| 35. | Vulnerable storage media? |
| 36. | Patching – To automate or not? |
| 37. | What do you have – inventorying your legacy data. |
| 38. | The human factor – how to keep your DBA up-to-date |
| 39. | Monitoring database use patterns to detect anomalies |
| 40. | Quantitative v. Qualitative security risk assessment |
| 41. | Safe Harbor under HIPAA |