Computer Forensics Analysis
Computer forensics’ image analysis refers to the logical examination of computerized pictures caught by a picture processor. Scientific picture examination can confirm the validity and uprightness of computerized pictures and be utilized for distinguishing proof and correlation purposes (Wright, 2012). Does your picture contain peculiarities or irregularities that make them question its genuineness? At the point when computerized Images are being utilized as proof in the court, it is the activity of the scientific master to decide if these pictures are unique or on the off chance that they have been controlled.
Tools for Forensic Image Analysis
SIFT
The SANS Investigative Forensic Toolkit (SIFT) is an Ubuntu-based Live CD that incorporates every one of the devices you have to lead a top-to-bottom measurable or episode reaction examination (“Introduction to SIFT”, 2018).
CrowdResponse
CrowdResponse is a lightweight comfort application that can be utilized as a major aspect of an episode reaction situation to accumulate relevant data, for example, a procedure list, planned assignments, or Shim Cache.
Volatility
It is a memory crime scene investigation system for occurrence reaction and malware examination that enables you to remove computerized ancient rarities from unpredictable memory (RAM) dumps.
Why SIFT Over Other Image Forensic Analysis Tools
- It is an exemplary tool; likewise, the “first” motivation for the vast majority of the descriptors proposed late (“Introduction to SIFT”, 2018)
- It is more exact than some other descriptors.
- It is Rotation and scale invariant.
Disadvantages of SIFT
- The disadvantage is that it is scientifically muddled and computationally substantial.
- Filter depends on the Histogram of Gradients. That is, the inclinations of every Pixel in a fix should be figured, and these calculations cost time.
- It isn’t compelling for low-fueled gadgets.
The File Format of SIFT Analysis
Sift peruses a picture record (in PGM format), figures the SIFT outlines and their descriptors, and keeps in touch with them to a document (“Introduction to SIFT”, 2018). On the other hand, outline choice can be utilized to smother the standard yield and create a record with the component outlines as required.
References
Wright, N. (2012). DNS in Computer Forensics. Journal Of Digital Forensics, Security And Law. doi: 10.15394/jdfsl.2012.1117
Introduction to SIFT. (2018). Retrieved from https://media.readthedocs.org/pdf/sift/latest/sift.pdf
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Question
Computer Forensics Analysis
What is your understanding of computer forensics’ image analysis?
What tools have you heard about that can be used for image analysis?
Which tool would you choose for your investigation?
Why did you choose this tool?
What benefits does it have over the other tools you have heard about?
What are the disadvantages of this tool?
What kind of file types can be discovered using your chosen tool?