Cisco 200-201 Exam With Confidence Using Practice Dumps

• A greylist in endpoint applications refers to a list of items that are not yet classified as either good (whitelisted) or bad (blacklisted).
• The primary function of a greylist is to hold applications, processes, or files that are under observation due to their unknown status.
• These items are neither trusted nor immediately flagged as harmful, allowing security teams to monitor them closely for any suspicious behavior.
• By placing items on a greylist, security operations can prevent potential threats without disrupting legitimate processes, awaiting further analysis to determine their true nature.

References

• Cisco Cybersecurity Operations Fundamentals
• Endpoint Security Best Practices
• Greylisting Concepts in Cybersecurity

 In TCP/IP networking, the ACK flag is used to acknowledge the receipt of a packet. It’s a way to confirm that the previous packets have been received and that the connection is proceeding as expected. The RST flag, on the other hand, is used to reset the connection. It is sent if a segment arrives which is not intended for the current connection, or if a connection request is to be denied. Essentially, the ACK flag is about maintaining the established connection, while the RST flag is about aborting connections that are not valid or are no longer needed123.

References: The information provided is based on standard TCP/IP protocol behavior as described in networking resources and Cisco’s cybersecurity documentation

• 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