

Cyber forensics, also known as computer forensics, is a process of extracting data as proof for a crime that involves electronic devices while following proper investigation procedures. It is becoming increasingly important in our technologically centred society, where crimes frequently leave a record of electronic footprints. From financial fraud and identity theft to hacking and data breaches, cyber forensics assists in the identification of criminals and the gathering of evidence for investigation. The main aim of cyber forensics is to maintain the thread of evidence and documentation to find out who used which system and for how much time. Cyber forensics can recover deleted files, chat logs, emails, and determine which user used which system and for how much time. In this review, we will discuss the process, types, techniques, and tools used in cyber forensics.
Processes:
Identification: Recognizing and preserving digital evidence while maintaining its integrity.
Collection: Securing evidence from diverse sources like computers, mobile devices, networks, and cloud storage.
Analysis: Extracting vital information from evidence, such as timestamps, IP addresses, file system structures, and even deleted data.
Reporting: Documenting findings in a clear, concise, and legally admissible format.
Types of Cyber Forensics:
Network forensics: Network forensics involves monitoring and analyzing the network traffic to and from the criminal’s network.
Email forensics: It involves checking the email of the criminal and recovering deleted email threads to extract out crucial information.
Malware forensics: Malware forensics examines and analyzes the data from malware.
Memory forensics: Memory forensics involves analyzing the data stored in the memory of a computer.
Mobile Phone forensics: Mobile phone forensics consists of extracting and analyzing data from mobile devices, such as smartphones and tablets, to investigate criminal activities or civil disputes.
Database forensics: Database forensics attempts and analyzes the data from databases and their related metadata.
Techniques used in Cyber Forensics:
Cross-drive analysis: This technique compares data from multiple hard drives to identify patterns and connections between different pieces of evidence.
Live analysis: This method gathers evidence from a running system without disrupting its ongoing operations. It involves examining volatile data in the system's memory and analyzing the processes and network activity.
Deleted file recovery: This technique involves recovering and restoring files or fragments deleted by a person, either accidentally or intentionally.
Reverse steganography: Steganography is a method of hiding important data inside digital files, images, or messages. Reverse steganography involves analyzing the data hashing found in a specific file to reveal the hidden data.
Stochastic forensics: This technique uses advanced mathematical and statistical methods to analyze data and identify patterns or connections that may not be apparent through traditional forensic techniques.
Cyber Forensics Tools:
🔻Disk Imaging Tools
dd (Linux/Unix): A command-line tool for creating bit-by-bit copies of disks or partitions.
EnCase: Widely used in law enforcement, EnCase allows for the imaging and analysis of digital evidence.
🔻File System Analysis Tools
Autopsy: An open-source digital forensics platform that includes a graphical interface for analyzing file systems.
The Sleuth Kit: A collection of command-line tools for forensic analysis, often used in conjunction with Autopsy.
🔻Memory Forensics Tools
Volatility: A powerful open-source framework for memory forensics that can analyze RAM dumps for malware and
other malicious activities.
Rekall: Another open-source memory forensics tool with support for multiple operating systems.
🔻Network Forensics Tools
Wireshark: A widely-used network protocol analyzer that allows for real-time examination of traffic on a network.
Tcpdump: A command-line packet analyzer for Unix-like systems.
🔻Mobile Forensics Tools
Cellebrite UFED (Universal Forensic Extraction Device): Used by law enforcement agencies, it's designed to extract
and analyze data from mobile devices.
Oxygen Forensic Detective: A comprehensive tool for extracting and analyzing data from smartphones and other
mobile devices.
🔻Database Forensics Tools
SQLite Forensic Explorer: Designed specifically for analyzing SQLite database files.
DbVisualizer: A universal database tool that can be used for database forensics.
🔻Email Forensics Tools
MailXaminer: A tool for email forensics that supports various email formats and webmail services.
MailsDaddy PST Viewer Pro: Useful for viewing and analyzing Outlook PST files.
🔻Steganography Tools
Steghide: A command-line tool for hiding data in various kinds of files.
OpenStego: An open-source steganography tool that supports various file formats.
🔻Live Forensics Tools
FTK Imager: Used for live forensic imaging, allowing investigators to create disk images from live systems without
shutting them down.
Live Response Collection (LRC): An open-source tool for collecting volatile data from live Windows systems.
The Benefits of Cyber Forensics:
Solves Crimes: Cyber forensics provides concrete evidence to hold criminals accountable in the digital realm, helping solve cyber crimes and recover important data.
Protects Businesses: Helps organizations identify and mitigate security breaches, minimizing damage and loss.
Deters Criminal Activity: The knowledge that their actions can be traced can deter potential cybercriminals.
Ensures Data Privacy: Helps recover stolen data and prevent unauthorized access to sensitive information.
Conclusion:
Cyber forensics is a crucial process in identifying and collecting evidence from electronic devices. It helps in solving cyber crimes and recovering important, compromised data. Cyber forensic investigators use various techniques and tools to extract data from electronic devices. The field of cyber forensics is constantly evolving, and new techniques and tools are being developed to keep up with the increasing rates of cybercrime.