Predicting And Fighting Cyber Threats Through AI-generated Threat Intelligence

Authors

  • Shaikh Abdul Sattar Department of Engineering Management, Christian Brothers University, Tennessee, USA. Email: fshaikha@cbu.edu Author
  • Samad Abdul Department of Engineering Management, Christian Brothers University, Tennessee, USA. Email: sabdul@cbu.edu Author
  • Saif Mohammed Khan Department of Engineering Management, Christian Brothers University, Tennessee, USA. Email: fsaifmoh@cbu.edu Author
  • Bin Ibrahim Ismail Department of Engineering Management, Christian Brothers University, Tennessee, USA. Email: fismailb@cbu.edu Author

Keywords:

Real-time data analysis, anomaly detection, predictive analytics, Threat mitigation strategies.

Abstract

The objective of this paper is to investigate artificial intelligence threat intelligent platforms
which are equipped with machine learning techniques to predict and counter cyber threats before
hit the ground running. This paper will explain the value of real-time data analysis, anomaly
detection and predictive analytics when integrated into threat intelligence. 

Downloads

Download data is not yet available.

Downloads

Published

2022-12-31

Similar Articles

1-10 of 208

You may also start an advanced similarity search for this article.