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Network forensics involves the monitoring and analysis of computer network traffic for the purpose of information gathering, legal evidence, or intrusion detection. It is a critical component of cybersecurity, enabling organizations to investigate network breaches and ensure compliance with legal and regulatory requirements.
Relevant Fields:
Intrusion Detection Systems (IDS) are security technologies designed to detect unauthorized access or anomalies in network or host activities, helping to prevent potential breaches. They can be categorized into network-based or host-based systems and often employ techniques such as signature-based detection and anomaly-based detection to identify threats.
Packet analysis is the process of intercepting and examining network packets to understand the data flow, detect anomalies, and troubleshoot network issues. It is crucial for network security, performance monitoring, and ensuring compliance with data policies.
Network Traffic Analysis involves monitoring and examining data packets on a network to ensure security, optimize performance, and identify potential threats. It is essential for detecting anomalies, understanding network behavior, and maintaining the integrity and confidentiality of data transmission.
Digital evidence refers to any information or data stored or transmitted in digital form that is used in legal proceedings to support or refute a claim. It is crucial in modern investigations due to the pervasive use of digital devices and networks, requiring specialized methods for collection, preservation, and analysis to ensure admissibility in court.
Incident response is a structured methodology for handling security breaches, cyber-attacks, and other IT incidents to minimize damage and reduce recovery time and costs. It involves preparation, detection, containment, eradication, recovery, and lessons learned to improve future responses and fortify defenses.
Network security involves implementing measures to protect the integrity, confidentiality, and availability of computer networks and data. It encompasses a variety of technologies, devices, and processes to defend against unauthorized access, misuse, malfunction, modification, destruction, or improper disclosure of network resources.
Data exfiltration refers to the unauthorized transfer of data from a computer or network, often executed by cybercriminals to steal sensitive information without detection. It poses significant risks to organizations, necessitating robust security measures and monitoring to prevent data breaches and protect confidential information.
Log analysis is the process of examining and interpreting computer-generated records to monitor and troubleshoot systems, enhance security, and optimize performance. It involves extracting meaningful insights from vast amounts of data, often using specialized tools and techniques to identify patterns, anomalies, and trends.
Cyber Threat Intelligence (CTI) involves the collection and analysis of information about current and potential attacks that threaten an organization, enabling proactive defense strategies. It helps organizations understand the threat landscape, anticipate cyber threats, and make informed security decisions to mitigate risks effectively.
Protocol Analysis is a method used to gather verbal data from participants as they perform a task, allowing researchers to understand cognitive processes and decision-making. It involves recording and analyzing verbal reports to gain insights into problem-solving strategies and thought sequences.
Digital forensics is the process of uncovering and interpreting electronic data to preserve any evidence in its most original form while performing a structured investigation by collecting, identifying, and validating the digital information for the purpose of reconstructing past events. It plays a crucial role in both criminal investigations and cybersecurity, ensuring that digital evidence is reliably gathered and analyzed to support legal proceedings or organizational security measures.
Forensic analysis tools are specialized software and hardware used to collect, preserve, analyze, and present digital evidence in a legally admissible manner. They are crucial in investigations to uncover digital footprints, recover deleted data, and understand cyber incidents comprehensively.
Data Packet Analysis involves examining data packets transmitted over a network to understand their structure, content, and behavior, which is crucial for network troubleshooting, security monitoring, and performance optimization. It allows network administrators to detect anomalies, ensure data integrity, and implement robust security measures by identifying malicious activities or vulnerabilities in real-time.
Lateral movement refers to the techniques used by cyber attackers to move through a network after gaining initial access, aiming to escalate privileges and access sensitive data. It involves exploiting vulnerabilities and leveraging compromised credentials to navigate through the network without detection, ultimately achieving the attacker's objectives while maintaining persistence.
Port scanning is a technique used to identify open ports and services available on a networked device, which can be leveraged to assess security vulnerabilities. While it is a critical tool for network administrators to secure systems, it can also be exploited by attackers to discover weak points for unauthorized access.
Traffic analysis involves examining and interpreting patterns and characteristics of data flow in networks to infer information, even when the data is encrypted. It is crucial in fields like cybersecurity, network management, and intelligence gathering, where understanding communication patterns can reveal critical insights about network behavior and potential threats.
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