312-85 Exam Dumps : Certified Threat Intelligence Analyst (CTIA)

Game theory is a mathematical framework designed for understanding strategic situations where individuals' or groups' outcomes depend on their choices and the choices of others. In the context of threat intelligence analysis, game theory can be used as a de-biasing strategy to help understand and predict the actions of adversaries and defenders. By considering the various strategies and potential outcomes in a 'game' where each player's payoff is affected by the actions of others, analysts can overcome their biases and evaluate hypotheses more objectively. This approach is particularly useful in scenarios involving multiple actors with different goals and incomplete information.References:

• "Game Theory and Its Applications in Cybersecurity" in the International Journal of Computer Science and Information Security
• "Applying Game Theory to Cybersecurity" by the SANS Institute

In the trust model described, where trust between two organizations depends on the degree and quality of evidence provided by the first organization, the model in use is 'Validated Trust.' This model relies on the validation of evidence or credentials presented by one party to another to establish trust. The validation process assesses the credibility, reliability, and relevance of the information shared, forming the basis of the trust relationship between the sharing partners. This approach is common in threat intelligence sharing where the accuracy and reliability of shared information are critical.References:

• "Building a Cybersecurity Culture," ISACA
• "Trust Models in Information Security," Journal of Internet Services and Applications

Passive DNS monitoring involves collecting data about DNS queries and responses without actively querying DNS servers, thereby not altering or interfering with DNS traffic. This technique allows analysts to track changes in DNS records and observe patterns that may indicate malicious activity. In the scenario described, Enrique is employing passive DNS monitoring by using a recursive DNS server to log the responses received from name servers, storing these logs in a central database for analysis. This approach is effective for identifying malicious domains, mapping malware campaigns, and understanding threat actors' infrastructure without alerting them to the fact that they are being monitored. This method is distinct from active techniques such as DNS interrogation or zone transfers, which involve sending queries to DNS servers, and dynamic DNS, which refers to the automatic updating of DNS records.References:

• SANS Institute InfoSec Reading Room, "Using Passive DNS to Enhance Cyber Threat Intelligence"
• "Passive DNS Replication," by Florian Weimer, FIRST Conference Presentation