Computer forensics are not properly understood by most people. This is, in part, because of how this field was portrayed in the media. The truth is that this is not as fast or as glamorous as the movies want you to believe. As a result, it is a very good idea to go through the following debunked myths.
Computer Forensics Is Just Used In Divorces And High-Profile Cases
In many civil cases that involve infidelity, we see the use of computer forensics. Also, we often see investigators and attorneys use it during high-profile criminal cases. However, computer forensics can also be used when dealing with extortion, harassment, data deletion, data theft, employee termination, data exposure, missing people, improper system access, traffic accidents, and improper employer systems use.
Digital evidence is quite important in many more cases than you might think.
Computer Forensics Can Just Be Used For Computers
In reality, computer forensics is a field where data can be collected from literally any electronic storage media or device. This does include but it is not actually limited to laptops, tablets, cell phones, desktop computers, USB drives, cloud storage, and tablets.
With the use of computer forensics, you can recover the deleted files and gain access to data that is not easy to access by users. For instance, the best example of professional use of recovery software is with smartphones.
Any Person Can Get Data From Computers, Even When Deleted
With computer forensics, you can collect electronic data. However, this does not mean that you can get back anything or that you can easily do it alone. The truth is that it should always be a professional that handles the process. This is especially true when having to deal with courts because cases can easily be lost or won due to how investigators collected data.
Data Gathering Is Very Fast
Many different factors can affect how long it will take to get data during the forensics analysis process. Some examples are device access, how much time it technically takes to retrieve data, the development of appropriate analysis and search parameters, and the actual search. For instance, it can be very fast to retrieve some text messages but it would be a lot more difficult to collect data when you have to access cloud storage for it.
