A Twitter-based Software Vulnerability Alert Framework using Natural Language Processing
Yadhu Krishna M, Chirumamilla Sneha, A R Thejaswi, Sayooj B. Kumar, Greeshma Sarath · 2023
With the increasing usage of networks, the frequency of cyber attacks are expected to increase. To prepare against these attacks, modern organizations require effective ways to ensure cyber security. Twitter is one of the most well-known social media platforms in the world. Tweets by users on Twitter cover a wide range of topics, from daily life to politics and breaking news. This social media platform has a sizable and diverse user base, provides great accessibility, and timeliness, resulting in the production of a huge amount of publicly available data, which in turn can be used effectively for a variety of purposes. For detecting security vulnerability events via Twitter, we introduce a Natural Language Processing-based approach. The tool can be used to provide alerts and notifications to users when a security vulnerability is detected.