June 29, 2023, 1:10 a.m. | Dincy R Arikkat, Vinod P., Rafidha Rehiman K. A., Andrea Di Sorbo, Corrado A. Visaggio, Mauro Conti

cs.CR updates on arXiv.org arxiv.org

Time-relevant and accurate threat information from public domains are
essential for cyber security. In a constantly evolving threat landscape, such
information assists security researchers in thwarting attack strategies. In
this work, we collect and analyze threat-related information from Twitter to
extract intelligence for proactive security. We first use a convolutional
neural network to classify the tweets as containing or not valuable threat
indicators. In particular, to gather threat intelligence from social media, the
proposed approach collects pertinent Indicators of Compromise …

alerts attack attacks collect cyber cyber attacks cyber security domains extract information intelligence novel proactive proactive security public researchers security security researchers threat threat information threat landscape twitter work

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