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Title:
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LEVERAGING SOCMINT: EXTRAPOLATING CYBER THREAT INTELLIGENCE FROM RUSSIA-UKRAINE CONFLICT |
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Author(s):
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Bipun Thapa |
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ISBN:
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978-989-8704-40-5 |
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Editors:
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Piet Kommers and Mário Macedo |
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Year:
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2022 |
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Edition:
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Single |
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Keywords:
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Social Media Intelligence, Cyber Threat Intelligence, Topic Modeling, Machine Learning, Opinion Mining, Logit |
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Type:
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Full Paper |
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First Page:
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77 |
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Last Page:
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86 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The paper aims to derive Cyber Threat Intelligence (CTI) from the Russia-Ukraine conflict with the help of Social Media Intelligence (SOCMINT), a framework that emanates reasoning from voluntarily available public informationusing open-source tools and APIs, datasets created are assessed through topic modeling, thematic analysis (word cloud), Logit function, and neural network classification. The topic modeling and word cloud failed to provide consequential intelligence due to weak datasets - censorship and integrity remain big concerns. Logit function supplied statistically significant features that were influential in the outcome of the tweets, and MLP, a neural network classifier, yielded 91% accuracy when identifying tweet alliance (Russia or Ukraine). |
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