212-82 Exam Dumps : Certified Cybersecurity Technician (CCT)

GDPR Overview:

The General Data Protection Regulation (GDPR) is a comprehensive data protection law in the European Union that sets out requirements for companies and organizations on collecting, storing, and managing personal data.

 A data-driven hunting method is a type of threat hunting method that employs existing data collected from various sources, such as DNS and proxy logs, to generate and test hypotheses about potential threats. This method relies on data analysis and machine learning techniques to identify patterns and anomalies that indicate malicious activity. A data-driven hunting method can help discover unknown or emerging threats that may evade traditional detection methods. An entity-driven hunting method is a type of threat hunting method that focuses on specific entities, such as users, devices, or domains, that are suspected or known to be involved in malicious activity. A TTP-driven hunting method is a type of threat hunting method that leverages threat intelligence and knowledge of adversary tactics, techniques, and procedures (TTPs) to formulate and test hypotheses about potential threats. A hybrid hunting method is a type of threat hunting method that combines different approaches, such as data-driven, entity-driven, and TTP-driven methods, to achieve more comprehensive and effective results. 

To analyze the IoT network traffic capture and identify the command sent to IoT devices, follow these steps:

Open the Capture File:

Use a network analysis tool like Wireshark to open theIoT_capture.pcapngfile.

Filter and Analyze:

Apply appropriate filters to isolate relevant traffic. Look for command patterns typically sent to IoT devices.

Identify the Command:

Upon analyzing the captured traffic, the commandForest_Fire_Alert444is identified as the one sent over the network to IoT devices during the attack.

References:

Wireshark User Guide: Wireshark Documentation

Analysis of IoT network traffic:IoT Security