Information hiding is a research domain that covers a wide spectrum of methods that are used to make (secret) data difficult to notice, as computing has become more sophisticated, so too have the abilities of malicious agents to access systems and private information. To summarize, digital evidence encompasses any and all digital data that can be used as evidence in a case.
Without a decryption key, forensic tools cannot be used to find digital evidence.
The field of digital forensics is in high demand due to the constant threat of data breaches and information hacks, when it comes to attribution, you can spend a lot of time looking for evidence of known domain or local accounts being compromised and used by the attackers. To begin with, here are the most common types of cyber attacks, and the cyber security methods used to fight back.
For social network forensics, there is usually plenty of data to collect, and the problem is knowing how to do it, instead, some one-off scripts are created to extract, sort the relevant data a lot quicker than it would have taken to do manually, accordingly, python has the combination of power, expressiveness, and ease of use that makes it an essential complementary tool to the traditional, off-the-shelf digital forensic tools.
Legaltechnical issues with the system include security, ease of access, and evidence and chain of custody issues with the data, suspect that is aware that one is under investigation may temporarily cease activities of interest, use other systems, or delete evidence.
Want to check how your Digital Forensics Processes are performing? You don’t know what you don’t know. Find out with our Digital Forensics Self Assessment Toolkit: