Military Decoys for the Digital Age

The rapid proliferation of smartphones over the last decades presents new challenges for military communication and commanders. Besides dealing with device and application vulnerabilities, the intentional and unintentional information transmitted by every device can reveal important information about troop locations and movements. This research seeks to address some of these challenges by using decoys to increase operational security. Using Wi-Fi data from the University of Colorado Boulder as a surrogate for cellular data and using models generated with Nonnegative Matrix Factorization (NMF), three Wi-Fi decoys are deployed at three locations across campus to simulate network activity from a military scenario. By populating alternate locations with decoy devices to mimic real activity, this research shows how NMF can be used to create models that can effectively be translated into real network activity to obfuscate real operations. This enhances operational security by dispersing network signatures and confusing adversarial detection.

Authors

Institutions

Publication Details

Published
2024-10-28
DOI
https://doi.org/10.1109/milcom61039.2024.10774057
Primary Topic
Cybersecurity and Cyber Warfare Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Military Decoys for the Digital Age

Stefan Tschimben, J. K. Crosby, Isabella Bates, James H. Curry et al.
Cybersecurity and Cyber Warfare Studies
article

Military Decoys for the Digital Age

Stefan Tschimben, J. K. Crosby, Isabella Bates, James H. Curry, Keith Gremban, Rucha Khairnar
article en

Abstract

The rapid proliferation of smartphones over the last decades presents new challenges for military communication and commanders. Besides dealing with device and application vulnerabilities, the intentional and unintentional information transmitted by every device can reveal important information about troop locations and movements. This research seeks to address some of these challenges by using decoys to increase operational security. Using Wi-Fi data from the University of Colorado Boulder as a surrogate for cellular data and using models generated with Nonnegative Matrix Factorization (NMF), three Wi-Fi decoys are deployed at three locations across campus to simulate network activity from a military scenario. By populating alternate locations with decoy devices to mimic real activity, this research shows how NMF can be used to create models that can effectively be translated into real network activity to obfuscate real operations. This enhances operational security by dispersing network signatures and confusing adversarial detection.

University of Colorado Boulder (US), Applied Mathematics (United States) (US)
National Science Foundation
Openalex Percentile: Top 64%
Cybersecurity and Cyber Warfare Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.