1. Sensory Perception: A DIY Approach to Building a Sensor
Network 2. rbx@rbx:~# whoami Tim Fowler Prinicpal IT Security
Consultant Mountainsec, LLC @roobixx 3. rbx@rbx:~# info Christian
Member of WNCInfoSec & Proverbs Hackers OSWP Open Source
Advocate Lover/Hater of all things Wifi Triathlete* * A Work in
Progress 4. Where it all started... 5. Background CreepyDOL Snoopy
& Snoopy- NG 6. From that came this... 7. ...and now comes
this... 8. Harbinger Sensor Network harbinger / hrb nj r/ noun a
person or thing that announces or signals the approach of another.
9. HSNP: Objectives Create a distributed sensor network for data
collection and traffic flow / migratory pathway analysis Create
analytics engine for data processing and visualization rendering
10. Why? 11. Because I can! 12. Why reinvent the wheel? 13.
Harbinger Sensor Network Project Harbinger is a wireless sensor
network project for historical trend and predictive analysis Unlike
other sensor projects, Harbinger is completely passive on the
airwaves, making it virtually undetectable. Harbinger is an open
source project that is licensed under the GPL v3 14. HSNP:
Requirements Must be open source Must be as hardware agnostic as
possible to keep cost down and allow for the use of whatever
platform is available. Keep dependencies & requirements to a
minimum Must scale 15. HSNP: Project Breakdown The HSNP has three
primary components which breakdown into stages of development Stage
1: Sensor Node(s) Stage 2: Centralized Data Management Stage 3:
Analytics and Data Visualizations 16. Stage 1: Sensor Node(s) This
is where we are at today! 17. Stage 1: Node Requirements Must be
able to run python (2.7) SQLite3 A wireless interface that supports
Monitor mode That's it! 18. Stage 1: Hardware Suggestions Hardware
Platforms: Raspberry Pi A/B/B+/2 Beaglebone Black TP-Link MR3040*
Wireless Adapters: Alfa Network AWUS036h TP-Link tl-wn722n* 19.
HSNP: Data Requirements Clients Probe Requests Date which client
appeared in the network Last seen in the network Access Points
Probe Responses Time of Responses 20. HSNP: Data Schema 21. Where
to get started? 22. Git the code! 23.
https://github.com/roobixx/harbinger 24. HSNP: Sensor Code # git
clone https://github.com/roobixx/harbinger.git # cd harbinger/ #
./harbinger.sh 25. HSNP: sensor.py 26. HSNP: db.py 27. HSNP:
node.db 28. You have node(s) now what? 29. HSNP: Designing the Grid
Do you need 100% coverage? 30. HSNP: Designing the Grid Questions
to consider when deploying sensors Where are the choke points? Can
a device in the grid be seen by multiple nodes? What happens if a
node(s) goes down?? 31. HSNP: Deploying the Nodes Depending on how
expansive your coverage area is will dictate how many nodes are
required for your grid. 32. HSNP: Deploying the Nodes Start my
surveying the landscape! Use Wigle or Kismet to map all Access
Points within your desired coverage area You will use this data to
fine tune your node placements 33. HSNP: Node Placement Determine
the exact area you desire to cover Estimate where the choke points
in your grid are at that require coverage. Test a sensor at each
point looking for the Access Points that are within rang of the
sensor Cross-reference the Wigle scan to determine your sensors
effective range at current placement. 34. HSNP: Effective Range of
Detection ERD will vary from sensor to sensor even if they are all
the same hardware configuration 35. HSNP: Deploying the Nodes 36.
ERD is highly variable and will change frequently. Constant
calibration is require to maintain accurate data within the grid
37. Stage 2: Centralized Data Management Not a lot to say on this
at this point but obviously being able to gather all of the sensor
data into a single location for processing is necessary. 38. Stage
3: Analytics & Data Visualization Coming soon...? 39. Comments
or Questions?
