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Exploring Open Source Information for Cyber Threat Intelligence

EasyChair Preprint no. 7509

5 pagesDate: February 26, 2022


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, machine learning, Naïve Bayes Classifier, Random Forest, Support Vector Machine, Threats etc.

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Madhavi Netke and Sarita Patil and Manjushree Mahajan},
  title = {Exploring Open Source Information for Cyber Threat Intelligence},
  howpublished = {EasyChair Preprint no. 7509},

  year = {EasyChair, 2022}}
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