Lineage Stash: Fault tolerance (almost) for free Privacy ...
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Lineage Stash: Fault tolerance (almost) for free Stephanie Wang, Philipp Moritz, Robert Nishihara, Alexey Tumanov, Ion Stoica Privacy Preserving Data Muling System Project 2: Alvin Tan, Tess Despres, Jean-Luc Watson, Shishir Patil Solution Results Problem Current data muling systems utilize metadata that can reconstruct mobility traces or social networks. Background Use a state-of-the-art anonymous communication protocol, Express [1] (depicted below), to implement a privacy preserving data muling system. What is data muling? What are the privacy concerns? We demonstrate mobility tracking through simulation using only sensor/mule IDs & time of transmission. Simulation: System implementation: We evaluate Express against a baseline plaintext implementation on hardware. Next Steps ● Energy evaluation of our system on embedded HW ● Bidirectional communication ● Batch writes to reduce latency ● Protection against malicious mules MQTT Publish MQTT Subscribe Write to memcache Express Client Server A Write to in-memory tables Server B Private write (hide data source) Public read (can charge $) hello! We also use a simulation to evaluate scalability with: ● 100 mobile mules (10-20m BLE range) ● 1000 stationary sensors (1-15m/s move speed) ● 128 byte data payloads [1] Eskandarian, S., Corrigan-Gibbs, H., Zaharia, M., & Boneh, D. (2021). Express: Lowering the cost of metadata-hiding communication with cryptographic privacy. In 30th USENIX Security Symposium (USENIX Security 21) (pp. 1775-1792). <data> Sensor A, 9:17am - Mule B
Transcript of Lineage Stash: Fault tolerance (almost) for free Privacy ...
Lineage Stash: Fault tolerance (almost) for freeStephanie Wang, Philipp Moritz, Robert Nishihara, Alexey Tumanov, Ion Stoica
Privacy Preserving Data Muling SystemProject 2: Alvin Tan, Tess Despres, Jean-Luc Watson, Shishir Patil
Solution ResultsProblem
Current data muling systems utilize metadata that can reconstruct mobility traces or social networks.
Background
Use a state-of-the-art anonymous communication protocol, Express[1] (depicted below), to implement a privacy preserving data muling system.
What is data muling?
What are the privacy concerns? We demonstrate mobility tracking through simulation using only sensor/mule IDs & time of transmission.
Simulation:
System implementation:We evaluate Express against a baseline plaintext implementation on hardware.
Next Steps
● Energy evaluation of our system on embedded HW● Bidirectional communication ● Batch writes to reduce latency ● Protection against malicious mules
MQTT Publish
MQTT Subscribe
Write to memcache
Express Client
Server A
Write to in-memory
tables
Server B
Private write(hide data source)
Public read (can charge $)
hello!
We also use a simulation to evaluate scalability with:
● 100 mobile mules (10-20m BLE range)● 1000 stationary sensors (1-15m/s move speed)● 128 byte data payloads
[1] Eskandarian, S., Corrigan-Gibbs, H., Zaharia, M., & Boneh, D. (2021). Express: Lowering the cost of metadata-hiding communication with cryptographic privacy. In 30th USENIX Security Symposium (USENIX Security 21) (pp. 1775-1792).
<data>Sensor A, 9:17am - Mule B
