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Eccouncil 312-85 Exam - Topic 5 Question 43 Discussion

In a team of threat analysts, two individuals were competing over projecting their own hypotheses on a given malware. However, to find logical proofs to confirm their hypotheses, the threat intelligence manager used a de-biasing strategy that involves learning strategic decision making in the circumstances comprising multistep interactions with numerous representatives, either having or without any perfect relevant information.Which of the following de-biasing strategies the threat intelligence manager used to confirm their hypotheses?
A) Game theory
B) Machine learning
C) Decision theory
D) Cognitive psychology

Eccouncil 312-85 Exam - Topic 5 Question 43 Discussion

Actual exam question for Eccouncil's 312-85 exam
Question #: 43
Topic #: 5
[All 312-85 Questions]

In a team of threat analysts, two individuals were competing over projecting their own hypotheses on a given malware. However, to find logical proofs to confirm their hypotheses, the threat intelligence manager used a de-biasing strategy that involves learning strategic decision making in the circumstances comprising multistep interactions with numerous representatives, either having or without any perfect relevant information.

Which of the following de-biasing strategies the threat intelligence manager used to confirm their hypotheses?

Show Suggested Answer Hide Answer
Suggested Answer: A

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. Reference:

'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


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Valentine
2 days ago
Decision theory is crucial for evaluating options logically.
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Armanda
7 days ago
True, but machine learning helps in predicting outcomes based on data.
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Jean
12 days ago
Game theory really emphasizes strategic interactions.
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Domitila
18 days ago
D) Cognitive psychology? Not sure how that fits in this context.
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Valentine
23 days ago
C) Decision theory makes sense too. It’s about making choices under uncertainty.
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Armanda
28 days ago
I agree, but B) Machine learning could also apply. It’s about data analysis.
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Jean
1 month ago
I think it's A) Game theory. It fits the competition aspect.
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Hester
1 month ago
Surprised they didn’t just use a simple heuristic!
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Regenia
1 month ago
Cognitive psychology seems a bit off for this scenario.
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Mireya
2 months ago
Wait, are we sure it’s not machine learning?
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Iesha
2 months ago
I disagree, I think it’s more about game theory.
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Aliza
2 months ago
Sounds like decision theory to me!
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Jolanda
2 months ago
I lean towards B) Machine learning, but I’m not confident it fits the context of multistep interactions as well as the other options.
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Lindsey
4 months ago
I practiced a similar question before, and I feel like D) Cognitive psychology could be relevant, but it seems more about understanding biases rather than decision-making strategies.
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Aliza
4 months ago
I'm not entirely sure, but I remember something about C) Decision theory being related to making choices under uncertainty.
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Krissy
4 months ago
I think the answer might be A) Game theory since it deals with strategic decision-making among competing individuals.
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