Qualitative and quantitative analysis of cloud based digital forensic tool

Digital evidence stored on digital devices play an important role in a wide range of types of crime, including murder, computer intrusion, espionage, extortion and child pornography in proof of a fact about what did or did not happen. However, digital information is fragile because it can be easily modified, copied, stored or destroyed. All digital evidence will be analyzed to determine the type of information stored in digital devices. The field of Digital Forensics is highly dependent on Tools with more features. In our work Cloud Based Digital Forensic Tool (CBDFT) is developed for acquisition, preservation, analysis and presentation of digital evidence. In this paper to measure the functionality of various forensic tools, we have compared the results generated by CBDFT with other available tools like FTK, Encase, Recover my files, Recuva, Blade, and Forensic Imager. These tools were examined in a fixed scenario to show the differences and capabilities of each tool.