The digital forensic community has been around for decades (remember when it was simply called ‘Computer Forensics’?). Unlike many tech fields where processes can become simpler and more streamlined, Mobile tech and cloud storage has brought on more complicated and cumulative obstacles.
From the sheer number of devices a person or household maintains, to the total volume of data now stored on cell phones, cloud locations, and network-attached storage devices, quantity has become a major hurdle. Digital forensics examiners must be taught how to examine digital devices with such large volumes with efficiency and an ability to meet client needs under short deadlines.
As digital crimes continue to rise, the need for digital forensics also increases. Digital forensics is the scientific examination and analysis of data held on or retrieved from, computer storage media in such a way that the information can be used as evidence in a court of law. Digital forensics as a discipline faces several challenges, both industrial and research ones:
Evidently, forensics data visualization as the visual interpretation of high-dimensional, high-volume data is particularly appropriate for obtaining an overall view of a data set and locating important aspects within it. The main advantages of visualizations include: increased situational awareness; combination of data coming from heterogeneous resources and accommodation of different views that allow users to quickly switch among them and get different perspectives of the data. Some disadvantages on the other hand can be interfaces with too much clutter that may confuse the operator; rendering delays of views incorporating large amounts of data and worse, misleading operators that can result in wrong assumptions.
In conclusion, visualizations are the single easiest way for the human brain to interpret information. By leveraging data visualizations more in a digital evidence investigation workflow, investigators can be able to discover more and new information that they might otherwise have missed and get to the key evidence in a much more efficient manner suitable for growing data volumes. Innovative visualisation techniques like time-based analysis and preconfigured data views according to the currently investigated security incident would provide a great push to both active (live) and post-mortem digital forensics analysis.
We present to you, “Top 10 Digital Forensics Services Companies – 2022.”