Data Forensic Science
Lab 13-B
Data Forensic Science is a branch in forensic science that deals with unstructured data. It is useful in cyber-related crimes. It is related to cyber-security in that they are both focused on protecting digital assets as well as intelligence. The digital assets include private information such as passwords and financial information. However, there is a difference between cybersecurity and data forensic science. The focus of cybersecurity is to prevent loss of data while data forensics is focused on response. Cybersecurity puts a measure that prevents cyber-attacks on organization, but forensic data science gather information on how attacks were implemented (Joseph & Norman, 2019).
Data forensic science can be used in the data center. When dealing with big data, data science can be incorporated to design an algorithm from previous cases in the database to make it more comfortable in the analysis of big data in data centers. The most popular tools used in the investigation of data forensic are Sans Sift, CrowdStrike crowd response, and the Sleuth Kit + Autopsy (Holt, Bossler, & Seigfried-Spellar, 2017).
Although forensic data science has been accepted as a form of evidence in the court of law, there are various challenges in the jurisdiction. Sometimes, digital proof does not meet the high standards of evidence expected in courts and as required by the law. The rules are difficult to achieve due to challenges of the technology used and lack of compelling cyber-crime evidence. Regardless, data forensic can reveal cyber-crime by examining hardware and software. (Holt, Bossler, & Seigfried-Spellar, 2017). Hence data forensics can be used to evidence illegal intrusion, stolen passwords, and other cyber-attacks.
In conclusion, the topic of data forensics was fascinating. On top of the above information, I have also learned that there are various types of data forensics such as disk, network, and email forensics. I must say that this was new to me.
References
Holt, T. J., Bossler, A. M., & Seigfried-Spellar, K. C. (2017). Cybercrime and digital forensics: An introduction. Routledge.
Joseph, D. P., & Norman, J. (2019). An Analysis of Digital Forensics in Cyber Security. In First International Conference on Artificial Intelligence and Cognitive Computing (pp. 701-708). Springer, Singapore.