Image-Audio Encoding to Improve C2 Decision-Making in Multi-Domain Environment

TL;DR

This paper explores how encoding techniques combining image and audio data can enhance decision-making in multi-domain military environments by addressing uncertainties and unknown risks.

Contribution

It investigates the challenges of data transformation between domains and proposes methods to detect and mitigate uncertainties, especially unknown-unknowns, in multi-domain operations.

Findings

Identified key challenges in image-audio data transformation.

Proposed approaches for detecting uncertainties in data conversion.

Highlighted the importance of addressing unknown-unknowns for strategic advantage.

Abstract

The military is investigating methods to improve communication and agility in its multi-domain operations (MDO). Nascent popularity of Internet of Things (IoT) has gained traction in public and government domains. Its usage in MDO may revolutionize future battlefields and may enable strategic advantage. While this technology offers leverage to military capabilities, it comes with challenges where one is the uncertainty and associated risk. A key question is how can these uncertainties be addressed. Recently published studies proposed information camouflage to transform information from one data domain to another. As this is comparatively a new approach, we investigate challenges of such transformations and how these associated uncertainties can be detected and addressed, specifically unknown-unknowns to improve decision-making.