An exploration of future challenges for crowd sourced vulnerability detection
Abstract
Human dimension of cybersecurity falls under different practices or strategies. Crowd sourcing the detection of vulnerabilities is one of them. A lot of intelligence is published on online social networks (OSN) and it may be hard to process everything for human analysts. There is a need for automated solutions which will process the OSN stream to extract knowledge. We will specifically talk about the methods used to mine information related to vulnerabilities in this paper and compare them to identify future challenges.
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