Categories: Resources

Monitoring / Logging

Monitoring and logging in cybersecurity refers to the process of continuously monitoring and collecting data about network activity and security events, and storing this data in a centralized location for later analysis. Monitoring and logging can be used to identify potential security threats, track the progress of a security incident, or to troubleshoot problems on a network.

Monitoring involves continuously monitoring the network for signs of potential security threats, such as unusual network traffic or suspicious activity. This can be done using a variety of tools and techniques, including network security monitoring (NSM) tools, intrusion detection systems (IDS), and honeypots.

Logging involves collecting and storing data about network activity and security events in a centralized location, such as a log file or a database. This data can include information about network traffic, system events, and security-related events, such as failed login attempts or unauthorized access to resources. Logging can be used to track the progress of a security incident, identify trends or patterns, or to troubleshoot problems on the network.

Overall, monitoring and logging are important tools for improving network security and identifying and responding to potential security threats. Below is a list of some options available in the category of monitoring and logging, along with a brief description of each:

  • What2Log is a tool that helps security professionals identify and prioritize important log data for analysis. It allows users to filter and search for specific log events based on various criteria, and provides recommendations for which log data is most important to monitor and analyze.
  • justniffer is a tool for capturing and analyzing network traffic data. It allows users to view and analyze the contents of packets in real-time, as well as to filter and search for specific packets based on various criteria.
  • httpry is a tool for capturing and analyzing HTTP traffic data. It allows users to view and analyze the contents of HTTP packets in real-time, as well as to filter and search for specific packets based on various criteria.
  • ngrep is a tool for capturing and analyzing network traffic data. It allows users to view and analyze the contents of packets in real-time, as well as to filter and search for specific packets based on various criteria.
  • passivedns is a tool for capturing and analyzing DNS traffic data. It allows users to view and analyze the contents of DNS packets in real-time, as well as to filter and search for specific packets based on various criteria.
  • ntopng is a tool for capturing and analyzing network traffic data. It allows users to view and analyze the contents of packets in real-time, as well as to filter and search for specific packets based on various criteria. It also includes features for visualizing and analyzing network traffic data, including data visualization and traffic analysis tools.
  • Fibratus is a tool for capturing and analyzing kernel-level activity on a system. It allows users to view and analyze system activity in real-time, as well as to filter and search for specific events based on various criteria.
  • opensnitch is a tool for monitoring and blocking incoming network connections on a system. It allows users to view and analyze incoming network connections in real-time, as well as to block or allow specific connections based on various criteria. It is often used as a tool for securing systems against potential threats.
  • Security Datasets project is an open-source initiative that aims to provide a centralized repository of security-related datasets for use in research and education. The project includes a variety of datasets that cover a range of security topics, including network security, malware analysis, and incident response. The datasets are provided in a variety of formats and are intended to be used as a resource for researchers and educators in the field of cybersecurity. The project aims to help researchers and educators to access and analyze real-world security data in order to better understand and defend against a wide range of threats. Some of the datasets available through the Security Datasets project include network traffic logs, malware samples, and incident response reports.
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