Data Forensics: Another Field Of Data Science

The world is full of data today and with it come different areas of data science. One of these areas that is well known and had great popularity is Data Forensics. The detailed study of the digitized data, their creation and their use, is carried out under analysis of forensic data. With this high level of data flowing in and around, the credibility and authenticity of the data has become very difficult.

Importance of data science

As the amount of data used is so high today and the use of the Internet side by side, the risk of cybercrime has increased considerably. Criminals have derived new techniques and approaches to steal anything important from the Internet. The advent of the Internet has promoted cybercrime cases and events as something ordinary. Malicious links and illegal things have become a perfect disguise for criminals to steal money, information or anything else important. To combat and end this criminal activity, experience in data forensics is required. This includes studying and investigating extensive data to discover any lost traces or leads to locate the criminal. For this, a high level of identification and analysis of digital data is necessary, then return to the point where the data is lost.

Previously, many criminal activities had stopped before they even occurred. It is the power of Data Science or Data Forensics.

Forensic data procedures and tools

Each forensic process has three common steps, namely acquisition, review and reporting. Two methods, cross analysis and live analysis, are the most well-known techniques for finding lost or hidden links in data. The first is used to link any information found on multiple hard drives. The latter is used in the investigation of forensic data and provides clear information about running processes, memory dumps or the unencrypted form of the data. It works in real time to extract evidence using a personalized forensic analysis.

But to help this analysis reach its potential, certain tools are necessary to level the research task. Whether you want to investigate the case of unauthorized access to a server or simply learn and apply new skills, these utilities will help you do just that. Some tools used for this purpose are WITHOUT SIFT, Volatility, CrowdStrike CrowdResponse, FTK Imager (for forensic image analysis), The Sleuth Kit, Linux "DD" tool, ExifTool, CAINE and many others.

Forensic data applications

The requirement for forensic data is not completed by identifying only the lost information. The other applications for which the forensic data are famous are:

- Track phone calls, emails, or text messages over a network.

- Analysis of forensic memory: identification and collection of information lost from volatile memory.

- Reverse engineering and encryption process to further secure data.

- Analyze and examine metadata (data in data or data in data is metadata) and records to track someone who is performing illegal activity.

- Helps prevent data loss.

Resource Box

The forensic data field of Data Science Course in Los Angeles  has become one of the best career options for those interested in research and research. Thus, to follow this field, Singapore data science training is available to enhance career opportunities in the data science field.