Techniques for Network and Host Monitoring

Techniques for Network and Host Monitoring are essential for Cyber Security Analysts to detect threats quickly and keep systems safe. Monitoring helps find unusual activity on both the network and individual devices, allowing analysts to respond before damage occurs.

Effective Ways to Monitor Networks and Hosts

Network monitoring focuses on supervising data traffic between devices, servers, and the internet. Host monitoring looks at the activity on specific computers or servers. Both levels work together to give a full view of security status.

Here are key techniques used in network and host monitoring:

1. Traffic Analysis: This technique involves checking incoming and outgoing data packets for suspicious patterns, such as unusual ports or high volumes of traffic. Tools like Wireshark or network intrusion detection systems (NIDS) help analysts observe this data.
2. Log Analysis: Devices generate logs that record events, such as user logins, errors, and access attempts. Analysing these logs helps find unusual behaviours like failed login attempts or changes to important files. Security Information and Event Management (SIEM) systems automate log collection and correlation.
3. Intrusion Detection Systems (IDS): IDS monitor network or host activities for signs of attacks or policy violations. Network-based IDS watches traffic, while Host-based IDS focuses on system processes and files. Alerts are generated for investigation.
4. Endpoint Detection and Response (EDR): This tool goes deeper into host monitoring by continuously tracking endpoint behaviours, such as application execution and file changes. EDR can detect malware infections and suspicious processes early.
5. Network Flow Analysis: Instead of looking at all packets, flow monitoring summarises communication between devices, showing who is talking to whom and when. This helps detect slow data leaks or connections to suspicious IP addresses.
6. System Health Checks: Regular checks on CPU, memory usage, and disk activity on hosts can indicate problems or cyber attacks. For example, a sudden spike in CPU may mean malware running in the background.
7. Vulnerability Scanning: Scanning networks and hosts for missing security patches and open ports reduces attack opportunities. Tools like Nessus or OpenVAS automate this process.
8. User Behaviour Analytics (UBA): UBA tracks user activities to spot deviations from normal behaviour, such as accessing sensitive files at odd hours. This helps identify insider threats or compromised accounts.

Combining these techniques creates a strong defence, enabling Cyber Security Analysts to detect threats early. For example, network traffic analysis might spot an unexpected connection, while host monitoring can confirm if malware has infected a device.

In South Africa, where cybercrime is increasing, knowing these techniques helps protect businesses and personal data. Learners should practise using monitoring tools and understand how alerts work. This builds skills needed to respond fast and reduce damage from attacks.

Remember, effective monitoring requires regular updates and tuning of tools to reduce false alerts. It also means analysing data continuously to keep up with new cyber threats.