Sirus Shahini (University of Utah), Robert Ricci (University of Utah)

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.

View More Papers

NodeMedic-FINE: Automatic Detection and Exploit Synthesis for Node.js Vulnerabilities

Darion Cassel (Carnegie Mellon University), Nuno Sabino (IST & CMU), Min-Chien Hsu (Carnegie Mellon University), Ruben Martins (Carnegie Mellon University), Limin Jia (Carnegie Mellon University)

Read More

Poster: Securing IoT Edge Devices: Applying NIST IR 8259A...

Rahul Choutapally, Konika Reddy Saddikuti, Solomon Berhe (University of the Pacific)

Read More

CounterSEVeillance: Performance-Counter Attacks on AMD SEV-SNP

Stefan Gast (Graz University of Technology), Hannes Weissteiner (Graz University of Technology), Robin Leander Schröder (Fraunhofer SIT, Darmstadt, Germany and Fraunhofer Austria, Vienna, Austria), Daniel Gruss (Graz University of Technology)

Read More

MTZK: Testing and Exploring Bugs in Zero-Knowledge (ZK) Compilers

Dongwei Xiao (The Hong Kong University of Science and Technology), Zhibo Liu (The Hong Kong University of Science and Technology), Yiteng Peng (The Hong Kong University of Science and Technology), Shuai Wang (The Hong Kong University of Science and Technology)

Read More