Fuzzy Utility

A Disinformation Attack Risk Awareness Framework: A Case Study on Incidents Collected by DISARM Foundation

Abstract:

The diversity of disinformation attack strategies highlights the need for a thorough analysis of their impacts and related risks. To deal with them, this paper proposes an ontology-based framework for building knowledge about disinformation incidents, bridging Itemset Mining and Situational Awareness. The framework incorporates a High-Risk Itemset Mining algorithm that combines the frequency and fuzzy utility of attack pattern itemsets, allowing for deeper insights into attack tactics and a better assessment of their associated risks. Experiments conducted using DISARM Foundation dataset demonstrate the framework’s potential to identify the most relevant attack patterns and quantify their associated risks.

Published In

Volume 24, Issue 2

Journal of Information Warfare

The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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AI
APT

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C2S
CDX
CIA
CIP
CPS

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DNS
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The definitive publication for the best and latest research and analysis on information warfare, information operations, and cyber crime. Available in traditional hard copy or online.

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