We propose a software architectural model, which uses reactive programming for collecting and filtering live tweets and interpreting their potential correlation to software vulnerabilities and exploits. We aim to investigate if we could discover the existence of exploits for disclosed vulnerabilities in Twitter data streams. Reactive programming is used for performing filtering and querying of tweets to find potential exploits. The result of processing Twitter data streams with reactive programming could be broadcast, by pointing towards potential exploits, which might create a cyber-attack.

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