1. EE587 Lab 5: Snoopy Drone: A Distributed Tracking and Profiling Framework
Xiaowei Zhang

2. Introduction Developed by Sensepost Research Labs
Track WIFI, radio frequency identification (RFID), Bluetooth and specifications
Target phones, tablets, computers, pacemakers, fitness bracelets, smartcards, etc.
Geographically awareness (GPS): maintain radio contact
Rogue Access Points:
Smartphones remember networks by pinging each network to see if it’s available
Snoopy pretends to be that network
Collect: login credentials, bank account details
device’s unique ID #, GPS coordinates
Personal info collected to build profiles

3. Hardware Components BeagleBone Black Alfa AWUS036H (Wi-Fi)
low-power, open-source computer
Sitara™ ARM® Cortex-A8 processor AM3359AZCZ100, 1GHz from TI
512MB DDR3L 400MHz
2GB onboard FLASH
Alfa AWUS036H (Wi-Fi)
Ubertooth (Bluetooth)
RFidler (RFID)
Bluenext-BN903S (GPS)
XBee radio (802.15)

4. Airframe DJI Naza F450 quadcopter Fly about 20 minutes
Takeoff weight 600~1200g
Diagonal wheelbase 450mm
Propeller 8×4.5in/10×4.5in
Brushless motor ×12mm (stator size), 920kv
ESC 30A OPTO
Battery LiPo 3S/4S (1500~3500mAh)
Fly about 20 minutes
GoPro Hero 3/2/1 HD Camera
DX6i RC

5. Real-time Snooping Distributed data collection by scattered drones
OpenVPN connection to a central server

6. Real-time Snooping Cont.

7. Reference
ed_tracking_and_profiling_framework
smarphone-cybersecurity/#!B0y9S
diy-drone-that-tracks-your-devices-just-about-anywhere/