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About Generative AI and Digital Forensics
In today’s world, cybersecurity attacks and security breaches are becoming the norm. Unfortunately, we are not immune to it, and any individual and entity is at dire risk. The best and only thing that we can do is to mitigate the risks as much as much as possible so that they do not happen at all. But even when a security breach does indeed happen, the immediate reaction is to contain it so that it does not penetrate further into the information technology network infrastructure. From there, mission-critical processes need to be restored, until the business can resume a normal state of operations, like it was before the security breach. But another key step here is to investigate how and why the security breach happened in the first place. The best way to do this is through what is known as “digital forensics”. This is where specially trained digital forensics investigators collect and comb through every piece of evidence to determine this. Eventually, the goal is then to use this evidence in a court of law so the cyberattacker can be made to answer for their crime and eventually be brought to justice. There are many different kinds and types of databases that are available, such as those of Oracle, SQL Server, MySQL, PostgreSQL, etc. But when the source code is created for a database application, it is often not checked for any kinds or types of vulnerabilities. Thus, the cyberattacker can exploit this and insert the malicious code. As a precursor, this chapter and the next will actually involve the study of a database exploitation attack using a SQL Database.
Detailed Information
| Author: | Ravindra Das |
|---|---|
| Pages: | 112 |
| Language: | English |
| File Size: | 12 |
| Format: | |
| Price: | FREE |
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