Today, even criminals are backed by advanced technical aids. So forensic investigators in cyberspace too must be needed to be well-equipped and empowered with an advanced forensic data analytics tool. These proficiencies will help them to inspect, analyse, and validate the scenario properly. The usage of modern techniques during the investigations will help to gather evidence which can support the theories and arguments with authenticity.
Usually, it is difficult for the forensic team to collect evidence and inspect them for locating the findings of any case. However, it is made easy with MailXaminer tool, which is super-efficient 3rd-party forensic analysis tool that can prove to be very useful for the investigating agencies. They used to perform their forensic investigations with modern digital evidence analysis tool to unveil factual truths by inspecting the available evidence.
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The analytical mechanism of forensic data analytics tool comes with advanced features to help investigators in finding the relation between users and words used in the data files. The best part of the feature is that it provides multiple functions to examine evidence.
Here, the picture is showing the four features of the analytical mechanism. Forensic analysis tool provides this feature to help investigators in the digital data file analysis process for evidence collection, as follows:
1. Word Cloud
2. Timeline Analysis
3. Link Analysis
4. Entity Analysis
Let’s discuss the process of each feature of the digital evidence analysis tool, one by one.
The term “Word Cloud” indicates the meaning of a cloud of words. This feature of the forensic data analytics tool works to display the graphical representation of words that is used in the data file. By using this, a forensic investigator can easily figure out the words and their rate of occurrence in the data file very easily.
Users can examine evidence by selecting one or multiple emails to discover the terms that been used in the files and its frequencies.
After selecting the data files, choose “Word Cloud” tab. A window will open which will show the graphical representation of the words used in the data file. The size of the terms in the word cloud will not be the same and it also has some reason behind this i.e. Bigger the size of the word means the term has the maximum frequency and smaller the size of the word will have the minimum frequency.
This information also is given in the tabular form on the right side of the screen. This table will clearly show all terms with their corresponding frequency rate. Users can select all the files to view the occurrence rate of each term used within the data file.
Timeline Analysis feature of forensic analysis tool helps the user to find out the conversation flow between the users according to the specific year, date, decade, etc. It will display the graphical representation of the flow in the form of a chart to examine the evidence. Moreover, analysing digital evidence is pretty easy for the investigators by checking the conversation motion between the people. It will clearly show the flowing status of different data-based components such as Mails, Deleted Emails, Attachments Calendars, Loose files, Chats, Calls, SMS, etc.
This feature of the forensic data analytics tool also provides the option to set the colour for different sections such as chats, calls, attachments, emails, etc.
Users can set the color as required and can view the data for any specific period (Date, Year, Decades, etc.) of time easily. The digital evidence analysis tool provides a strong handle to the investigators for analysis.
This forensic analysis tool lets the cyber forensics investigators to figure out the relationship between the users of the emails by targeting the specific keyword. By selecting the emails, the user can easily figure out the conversation details in between the users of those emails. The date filter option is also available to analyse the specific data within the provided date range.
The link analysis feature of analytics mechanics will display the graphical representation of the conversation links between the users of the selected emails. It helps the examination officers to thoroughly examine the evidence within the exchanged data between the users.
Entity analysis is another highlighted features of this search mechanism of forensic analysis tool. With this, the investigators can seamlessly trace the location of terms and the number of times they have been used in the data file. It provides the facility to find the location of the words used in the data file for analysing digital evidence.
These particular evidence-based (data-based) analytics features of the forensic data analytics tool are used to uncover the actual sequence of events. This categorization of events in a chronological fashion is pretty crucial in defining the path that the criminal had taken to commence a particular cybercrime. The powerful analytics feature of the forensic analysis software not only defines the timeline but also gives a powerful handle. With this tool, cyber investigators can analyse each data element without giving a chance to miss any minute detail.