Data Forensics: Another Field Of Data Science

The world is full of data nowadays and with this arrives different fields of Data Science. One such field that is very well known and had a huge popularity is Data Forensics. The detailed study of digitized data, how it is created and how it is used, is done under data forensics. With this high level of data flowing in and around, the credibility and genuineness of the data have become very difficult.

Data Science Importance

Since the amount of data usage is so high today and the use of the internet, side by side, the risk of cyber crimes has emerged substantially. The criminals have derived new techniques and approaches to steal any important stuff from the Internet. The arrival of the internet has promoted cases and events of cyber crimes as an ordinary thing. Malicious links and illicit things have become a perfect disguise for the criminals to steal money, information or any other important stuff. To tackle and stop this criminal activity from happening, the expertise of Data forensics is required. This includes the study and investigation of data thoroughly to discover any lost trails or clues in order to track down the criminal. For this, a high level of identification and analyzation of digital data is required and then backtracks to the point where the data is lost.

Earlier also, many criminal activities have been ceased even before happening. This is the power of Data Science or Data Forensics.

Data Forensics Procedures and Tools

Every single forensic process includes three common stages, that is, acquisition, examination, and reporting. Two methods, namely cross-drive analysis, and live analyses are the most famous techniques to find lost or hidden links in data. The former is used to link any piece of information found on multiple hard drives. The latter is used in the data forensic investigation and provide clear information regarding running processes, memory dumps or unencrypted form of any data. It works in real-time to draw evidence using custom forensics.

But to help this analysis work up to its potential, certain tools are required to level up the task of investigation. Whether you want to investigate the case of an unauthorized access to a server or just want to learn and apply new skills, these utilities will assist you in doing so. Some tools used for the purpose are SANS SIFT, Volatility, CrowdStrike CrowdResponse, FTK Imager (for forensic image exploration), The Sleuth Kit, Linux ‘DD’ tool, ExifTool, CAINE and many more.

Data Forensics Applications

The requisite of data forensic is not finished on identifying just the lost piece of information. Other applications for which data forensic is famous for are as follows:

l  Tracking of phone calls, emails or texts over a network.

l  Memory Forensic Analysis: Identifying and collecting a lost piece of information from volatile memory.

l  Reverse Engineering and encryption process in order to make data more secure.

l  Analyzing and examining the metadata (data inside data or data of a data is metadata) and records to track an individual performing any illegal activity.

l  Promotes data loss prevention.

Resource Box

The Data Forensic field of data science has been emerging as one of the best career options for those who are interested in research and investigation. So, to follow this field, the data science training Singapore is available to enhance career opportunities in the Data Science field.