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In network forensics, attack intention analyzes play a major role in accelerating the decision-making process for apprehending the real perpetrator. In fact, attack intention analysis is a prediction factor to help investigators conclude a case with high accuracy. However, current techniques in attack intention analysis only focus on recognizing alert correlation for certain evidence. In reality, investigator should use more prediction factors decision such as attack intention, strategy, and incident path to come to a more precise decision. This paper proposes an Attack Intention Analysis (AIA) algorithm that focuses on the reasoning of attacks of uncertain intentions.
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