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In the past, innovation had become a critical part of our lives. However it is building a pathway for cybercriminals, too. How digital forensics technology help in combating it?
FREMONT, CA: Digital devices like smartphones, laptops, gaming consoles, desktop computers, and others have become a part of our daily life. They offer the easiest go-to data storage devices, which tempts cybercriminals to use it for their malicious purposes. Now, whenever a cybercrime happens, digital forensic investigators dive into the entire investigation process and search for proof for either solving the case or presenting them as digital evidence in the court.
1. Mobile Device Forensics
Under this sub-branch, digital forensic investigators collect digital evidence from mobile devices. Mobile devices are distinct from computers as they have embedded communication systems like GSM. The data extracted from the mobile devices are not restricted to emails or short message services. It also comprises data associated with user’s location, call logs, user dictionary content, system files, data from installed applications, usage logs, and any other deleted data.
2. Database Forensics
Under data, forensics comes the forensic study of databases and its metadata. In this, database content, in-RAM data, and log files are analyzed by data forensic investigator for retrieving pieces of digital evidence or for building a timeline for the incident.
3. Computer Forensics
Earlier, digital was considered the synonym for computer forensics. However, now, the term ‘computer forensics’ is restricted to collecting and analyzing evidence from computer systems, in-built systems, and any static memory of the perpetrators. It also comprises reporting like any other sub-branch or branch of forensic science demand.
4. Network Forensics
Network Forensics includes capturing and analyzing network traffic and network packets or a wide or local area network. The analysis also includes intrusion detection. Being volatile and difficult to log, network data is usually considered as a proactive investigation component. It makes use of two systems for collecting data.
This technique needs a large amount of storage as all the network packets under this system are stored at a traffic point and are later analyzed in batch mode.
• Stop, see, and hear
This system, the network packets are analyzed in a primitive style. It needs a faster processor that can speed up with the huge incoming traffic.
5. Forensic data analysis
It includes the investigation of financial crimes related to structured data. The main aim of forensic data analysis is to identify a pattern behind the fraudulent activities. Unstructured data are generally examined under computer forensics.
The scope of digital forensics is endless. It is already treated as a critical tool in defense, law enforcement, investment firms, and financial institutions.
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