CPTIA Exam Dumps : CREST Practitioner Threat Intelligence Analyst

An Intrusion Prevention System (IPS) device placed inline is best suited to block attacks on a network actively. Being inline allows the IPS to analyze and take action on the traffic as it passes through the device, effectively preventing malicious traffic from reaching its target. The IPS can detect and block a wide range of attacks in real-time by using various detection methods, such as signature-based detection, anomaly detection, and policy-based detection. Unlike Host-based Intrusion Prevention Systems (HIPS), web proxies, or load balancers, an inline IPS is specifically designed to inspect and act on incoming and outgoing network traffic to prevent attacks before they reach network devices or applications.References:The Incident Handler (CREST CPTIA) certification materials discuss network security controls and emphasize the role of intrusion prevention systems in protecting networks against threats.

Normalization in the context of data analysis refers to the process of organizing data to reduce redundancy and improve efficiency in storing and sharing. By filtering, tagging, and queuing, Miley is effectively normalizing the data—converting it from various unstructured formats into a structured, more accessible format. This makes the data easierto analyze, store, and share. Normalization is crucial in cybersecurity and threat intelligence to manage the vast amounts of data collected and ensure that only relevant data is retained and analyzed. This technique contrasts with sandboxing, which is used for isolating and analyzing suspicious code; data visualization, which involves representing data graphically; and convenience sampling, which is a method of sampling where samples are taken from a group that is conveniently accessible.References:

"The Application of Data Normalization to Database Security," International Journal of Computer Science Issues

SANS Institute Reading Room, "Data Normalization Considerations in Cyber Threat Intelligence"

Splunk is a powerful tool for log analysis, capable of collecting, analyzing, and visualizing data from various sources in real time. For an incident handler like Drake, intending to detect traces of malicious activities within the network infrastructure, Splunk can efficiently parse large volumes of log data, enabling the identification of patterns and anomalies that may indicate malware propagation or other security incidents. Its real-time analysis capabilities make it an ideal tool for monitoring network activities and responding to incidents promptly.