MoWireless MoProblems: Modular Wireless Survey System & Data Analytics
Details the design of a modular wireless survey platform and PacketGlass, an Elasticsearch visualization pipeline processing raw 802.11 PCAP data.
Summary
Large Scale Wireless Reconnaissance Challenges
Collecting massive volumes of wireless network data across extensive geographical areas produces terabytes of raw packet captures that are difficult to index and analyze efficiently.
Modular Hardware Survey Platform
Researchers built a modular survey rig capable of capturing multi-band 802.11 Wi-Fi, Bluetooth, and SDR signals concurrently, integrating Kismet data streams and raw PCAPs.
PacketGlass Analytical Visualization Engine
To manage captured telemetry, the team created PacketGlass, an Elasticsearch and Kibana analytical platform that parses, ingests, and visualizes tens of millions of wireless devices.
Operationalizing Wireless Telemetry
Advanced querying pipelines enable researchers to track device movements, identify rogue access points, and analyze wireless threat vectors at scale.
Related talks
Creator Stage·25 min
Avinash Srinivasan · Brien Croteau
Presents an SDN and SDR-driven cross-layer framework utilizing SATCOM infrastructure for resilient, reconfigurable communications across autonomous vessels.
Creator Stage·24 min
Matt Thomassen · Sean McKeever
Analyzes airborne Wi-Fi signal propagation and reconnaissance data collected by warflying a small Cessna aircraft at various altitudes.
Creator Stage·26 min
G. Longo · V. Lenders
Demonstrates practical RF attacks against TCAS II collision avoidance systems to forge resolution advisories and disable collision detection.