200-201 Exam Dumps : Understanding Cisco Cybersecurity Operations Fundamentals (CBROPS)

 In the context of Linux systems, each active program is tracked using a process identification number (PID). The PID is a unique number that the system uses to refer to a specific process, which is an instance of an executed program. This allows the system and the SOC analyst to monitor and manage different processes, including those initiated by users, the system itself, or by applications.

References := Understanding Cisco Cybersecurity Operations Fundamentals (CBROPS) training material provides insights into how a Security Operations Center (SOC) operates and the tools and data used by analysts to monitor and investigate security incidents, including the tracking of active programs on system

Enabling the “Allow subdissector to reassemble TCP streams” feature in Wireshark allows the tool to reassemble TCP segments into a contiguous sequence, which can be used by higher-level protocols to reconstruct a full message, such as an HTTP request or response. This is particularly useful for extracting files or data transmitted over TCP that are spread across multiple packets1.

References := The explanation is based on the Wireshark documentation, which details how the reassembly feature works and its use in analyzing TCP streams

• Rule-based detection methods rely on predefined rules and patterns that are known beforehand. These rules are created based on prior knowledge of what constitutes normal and abnormal behavior.
• Statistical detection, on the other hand, involves analyzing data to identify anomalies. It is based on assumptions about what normal behavior looks like and uses statistical methods to detect deviations from this norm.
• Rule-based systems are typically straightforward but may miss novel attacks that do not match existing rules.
• Statistical methods can detect previously unknown threats by recognizing patterns that deviate from established baselines but may produce more false positives.

References

• Intrusion Detection Systems (IDS) Concepts
• Comparative Studies on Rule-based and Statistical Anomaly Detection
• Understanding Anomaly Detection in Network Security