Volume 16, Number 2

Big Data and Machine Learning in Defence

  Authors

Yijie Weng¹ and Jianhao Wu², ¹University of Maryland, USA, ²Cornell University, USA

  Abstract

In the era of data-driven warfare, the integration of big data and machine learning (ML) techniques has become paramount for enhancing defence capabilities. This research report delves into the applications of big data and ML in the defence sector, exploring their potential to revolutionize intelligence gathering, strategic decision-making, and operational efficiency. By leveraging vast amounts of data and advanced algorithms, these technologies offer unprecedented opportunities for threat detection, predictive analysis, and optimized resource allocation. However, their adoption also raises critical concerns regarding data privacy, ethical implications, and the potential for misuse. This report aims to provide a comprehensive understanding of the current state of big data and ML in defence, while examining the challenges and ethical considerations that must be addressed to ensure responsible and effective implementation.

  Keywords

Big Data, Machine Learning, Defence, Advanced Algorithms, Predictive Analysis, Data Privacy.