Protecting and Mitigating Against Cyber Threats

6AI-Based Prioritization of Indicators of Intelligence in a Threat Intelligence Sharing Platform

Vijayadharshni¹, Krishan Shankash¹, Siddharth Tiwari¹, Shruti Mishra^2*, Sandeep Kumar Satapathy², Sung-Bae Cho³, Janjhyam Venkata Naga Ramesh⁴ and Sachi Nandan Mohanty⁵

¹School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India

²Centre for Advanced Data Science, Vellore Institute of Technology, Chennai, Tamil Nadu, India

³Department of Computer Science, Yonsei University, Seoul, South Korea

⁴Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur Dist., Andhra Pradesh, India

⁵School of Computer Science & Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India

Abstract

Our research uses artificial intelligence to rank the cyberthreats according to a machine learning model that is gathered from multiple sources. To safeguard our data and gadgets against nefarious activity, it is essential to be up to date on the most serious and common cyberthreats. In order to tackle this, we were working on a study that will prioritize and reorganize every potential indicator of compromise that has been supplied by reliable sources inside the threat intelligence community. The project’s goal is to automate and rank indicators of compromise using machine learning models according to the relevance and severity of the danger at that particular moment. Artificial intelligence techniques ...