# Heterogeneous Noisy Short Signal Camouflage in Multi-Domain Environment Decision-Making

arXiv: https://arxiv.org/abs/2106.02044 · HTML: https://mlsanity.com/paper/2106.02044/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 47 references that are in the map.
- First posted on arXiv 2 Jun 2021.

## Builds on (most cited first, 4 of 4)

- [Transforming Sensor Data to the Image Domain for Deep Learning - an Application to Footstep Detection](https://mlsanity.com/paper/1701.01077/) (2017)
- [How do you Command an Army of Intelligent Things?](https://mlsanity.com/paper/1712.08976/) (2017)
- [Blockchain of Things (BCoT): The Fusion of Blockchain and IoT Technologies](https://mlsanity.com/paper/1910.06898/) (2019)
- [Investigating Manifold Neighborhood size for Nonlinear Analysis of LIBS Amino Acid Spectra](https://mlsanity.com/paper/2105.12089/) (2021)

## Built on by (most cited first, 3 of 3)

- [Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training](https://mlsanity.com/paper/2107.14316/) (2021)
- [Strategic Maneuver and Disruption with Reinforcement Learning Approaches for Multi-Agent Coordination](https://mlsanity.com/paper/2203.09565/) (2022)
- [Emergent Behaviors in Multi-Agent Target Acquisition](https://mlsanity.com/paper/2212.07891/) (2022)

## Abstract (arXiv)

Data transmission between two or more digital devices in industry and government demands secure and agile technology. Digital information distribution often requires deployment of Internet of Things (IoT) devices and Data Fusion techniques which have also gained popularity in both, civilian and military environments, such as, emergence of Smart Cities and Internet of Battlefield Things (IoBT). This usually requires capturing and consolidating data from multiple sources. Because datasets do not necessarily originate from identical sensors, fused data typically results in a complex Big Data problem. Due to potentially sensitive nature of IoT datasets, Blockchain technology is used to facilitate secure sharing of IoT datasets, which allows digital information to be distributed, but not copied. However, blockchain has several limitations related to complexity, scalability, and excessive energy consumption. We propose an approach to hide information (sensor signal) by transforming it to an image or an audio signal. In one of the latest attempts to the military modernization, we investigate sensor fusion approach by investigating the challenges of enabling an intelligent identification and detection operation and demonstrates the feasibility of the proposed Deep Learning and Anomaly Detection models that can support future application for specific hand gesture alert system from wearable devices.