CHAOS: Exploiting Station Time Synchronization in 802.11 Networks

Many locations, especially in urban areas, are quite noisy with WiFi traffic.In addition to data traffic, WiFi stations send management and control frames that can easily exceed several hundred frames per second just in one small area.These WiFi environments present the opportunity to transmit data through hiding it within the noise components that can be normal parts of benign transmissions.In this paper, we show how one particular feature of WiFi, the Timing Synchronization Function (TSF), can be exploited to create a fertile and robust channel for embedding secret signals.We take advantage of the fact that there is always some degree of imprecision reflected in time synchronization of WiFi stations.We present CHAOS, a new covert channel strategy to embed data bits in WiFi beacon frames using unmodified standard WiFi hardware.CHAOS makes use of the noise properties inherent in WiFi in two ways: First, it encodes information in the ordering of beacon frames, taking advantage of the fact that there is no natural or required ordering of beacons.Second, it makes use of a timing channel in the form of the TSF timestamp in management headers, imitating the natural imprecision of timing in real base stations to encode data in a way that is statistically similar to unmodified frames.CHAOS's parameters can be adjusted to configure data rate, the covert channel stability and frame miss rate; using our suggested settings, it is able to robustly broadcast secret data at 520 bits/s.We also show that TSF has substantial potential for further exploitation, sketching a correlation attack that uses it to map clients to base stations.1 Any client that communicates through IEEE 802.11 is a station.

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Published
2025-01-01
DOI
https://doi.org/10.14722/ndss.2025.230187
Primary Topic
Network Time Synchronization Technologies
Type
article
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article

CHAOS: Exploiting Station Time Synchronization in 802.11 Networks

Robert Ricci, Sirus Shahini
Network Time Synchronization Technologies
article

CHAOS: Exploiting Station Time Synchronization in 802.11 Networks

Robert Ricci, Sirus Shahini
article en

Abstract

Many locations, especially in urban areas, are quite noisy with WiFi traffic.In addition to data traffic, WiFi stations send management and control frames that can easily exceed several hundred frames per second just in one small area.These WiFi environments present the opportunity to transmit data through hiding it within the noise components that can be normal parts of benign transmissions.In this paper, we show how one particular feature of WiFi, the Timing Synchronization Function (TSF), can be exploited to create a fertile and robust channel for embedding secret signals.We take advantage of the fact that there is always some degree of imprecision reflected in time synchronization of WiFi stations.We present CHAOS, a new covert channel strategy to embed data bits in WiFi beacon frames using unmodified standard WiFi hardware.CHAOS makes use of the noise properties inherent in WiFi in two ways: First, it encodes information in the ordering of beacon frames, taking advantage of the fact that there is no natural or required ordering of beacons.Second, it makes use of a timing channel in the form of the TSF timestamp in management headers, imitating the natural imprecision of timing in real base stations to encode data in a way that is statistically similar to unmodified frames.CHAOS's parameters can be adjusted to configure data rate, the covert channel stability and frame miss rate; using our suggested settings, it is able to robustly broadcast secret data at 520 bits/s.We also show that TSF has substantial potential for further exploitation, sketching a correlation attack that uses it to map clients to base stations.1 Any client that communicates through IEEE 802.11 is a station.

University of Utah (US)
Openalex Percentile: Top 95%
Network Time Synchronization Technologies
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CHAOS: Exploiting Station Time Synchronization in 802.11 Networks — Robert Ricci, Sirus Shahini · (2025) | TGRS Research Map | TGRS