Exploring Open Source Information for Cyber Threat Intelligence

EasyChair Preprint 7509

Abstract

Cyberspace is one of the most complex systems ever developed by humans; many people use it daily, yet few comprehend it. Use Social media cannot replace security specialists. to examine certain attacks in detail, such as de-

detecting network irregularities, worms, and port scanning besides However, analysing social media data can uncover new cyber threat and security threat patterns in- comprising carding and data theft. We used AI- ing the proposed system's cyber danger. Ideal design is produced by training a Twitter cyber-Threat dataset with SVM, NB, DT, RF, ANN. Preferable model for defining cyberthreats and their types.

Keyphrases: Artificial Neural Network, Decision Tree Classifier, Naïve Bayes Classifier, Random Forest, Support Vector Machine, Threats etc., machine learning

@booklet{EasyChair:7509,
  author    = {Madhavi Netke and Sarita Patil and Manjushree Mahajan},
  title     = {Exploring Open Source Information for Cyber Threat Intelligence},
  howpublished = {EasyChair Preprint 7509},
  year      = {EasyChair, 2022}}