How do you detect suspicious activity on a network?

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Excerpt:

Network anomalies can signal suspicious activity. Wireshark, a packet analyzer, enables detection of:

  • Unauthorized access attempts
  • Unusual data transfers
  • Deviating traffic patterns
  • Suspicious protocols
  • Potential malware or botnet communications
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Detecting Suspicious Activity on a Network

In today’s digital age, networks are essential for business and personal communication. However, they can also be vulnerable to a variety of threats, including malware, hacking, and data breaches. Network administrators must be vigilant in monitoring their networks for suspicious activity in order to protect their organizations and users.

There are a number of different tools and techniques that can be used to detect suspicious activity on a network. One common method is to use a packet analyzer, such as Wireshark. Packet analyzers can capture and analyze network traffic, which can be used to identify anomalies that may indicate suspicious activity.

Some of the specific types of suspicious activity that can be detected using a packet analyzer include:

  • Unauthorized access attempts: These are attempts to access a network or system without authorization. They can be detected by looking for packets that contain login attempts or other attempts to exploit known vulnerabilities.
  • Unusual data transfers: These are transfers of data that are not typical for the network in question. They can be detected by looking for packets that contain large amounts of data or that are transferred at unusual times.
  • Deviating traffic patterns: These are changes in the normal traffic patterns on a network. They can be detected by looking for changes in the volume, source, or destination of network traffic.
  • Suspicious protocols: These are protocols that are not typically used on the network in question. They can be detected by looking for packets that use unrecognized protocols or that are used in an unusual way.
  • Potential malware or botnet communications: These are packets that may be associated with malware or botnet activity. They can be detected by looking for packets that contain known malware signatures or that are sent to or from known botnet command and control servers.

By monitoring the network for these types of suspicious activity, network administrators can help to protect their organizations and users from a variety of threats.

In addition to using packet analyzers, there are a number of other tools and techniques that can be used to detect suspicious activity on a network. These include:

  • Intrusion detection systems (IDS): IDS are appliances or software that monitor network traffic for suspicious activity. They can be configured to detect a variety of different types of attacks, including malware, hacking, and data breaches.
  • Log analysis: Log files contain a record of all the activity that has occurred on a network. By analyzing log files, network administrators can identify suspicious activity that may have been missed by other methods.
  • User behavior analytics (UBA): UBA is a technology that uses machine learning to analyze user behavior on a network. UBA can detect suspicious activity by identifying patterns of behavior that deviate from the norm.

By using a combination of these tools and techniques, network administrators can significantly improve their ability to detect and respond to suspicious activity on their networks.