add hue and legend. update readme

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Youngjoon Lee 2024-05-16 13:54:09 +09:00
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4 changed files with 13 additions and 5 deletions

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@ -50,6 +50,9 @@ For more details, please see the [Time and Scheduling](https://simpy.readthedocs
## [Adversary Models](https://www.notion.so/Mixnet-v2-Proof-of-Concept-102d0563e75345a3a6f1c11791fbd746?pvs=4#c5ffa49486ce47ed81d25028bc0d9d40) ## [Adversary Models](https://www.notion.so/Mixnet-v2-Proof-of-Concept-102d0563e75345a3a6f1c11791fbd746?pvs=4#c5ffa49486ce47ed81d25028bc0d9d40)
- [x] Identifying nodes emitting messages around the promised interval. - [x] Identifying nodes emitting messages around the promised interval.
- [ ] With partial visibility - [ ] With partial visibility
- [ ] Quantifying how much the expected frequent senders are anonymized
- Current output
![](./docs/msgs-around-interval.png)
- [ ] Correlating senders-receivers based on timing - [ ] Correlating senders-receivers based on timing
- [ ] Active attacks - [ ] Active attacks
- [ ] Reporting & Visualization - [ ] Reporting & Visualization

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@ -21,12 +21,17 @@ if __name__ == "__main__":
print(df.describe()) print(df.describe())
# Visualize the nodes emitted messages around the promised interval # Visualize the nodes emitted messages around the promised interval
df = pd.DataFrame([(node.id, cnt) for node, cnt in sim.p2p.nodes_emitted_msg_around_interval.items()], columns=["node", "count"]) df = pd.DataFrame(
[(node.id, cnt, node.id < len(config.real_message_prob_weights))
for node, cnt in sim.p2p.senders_around_interval.items()],
columns=["NodeID", "Count", "Expected"]
)
plt.figure(figsize=(10, 6)) plt.figure(figsize=(10, 6))
seaborn.barplot(x="node", y="count", data=df) seaborn.barplot(data=df, x="NodeID", y="Count", hue="Expected", palette={True: "red", False: "blue"})
plt.title("Messages emitted around the promised interval") plt.title("Messages emitted around the promised interval")
plt.xlabel("Node ID") plt.xlabel("Sender Node ID")
plt.ylabel("Msg Count") plt.ylabel("Msg Count")
plt.legend(title="Expected")
plt.show() plt.show()
print("Simulation complete!") print("Simulation complete!")

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@ -14,7 +14,7 @@ class P2p:
self.config = config self.config = config
self.nodes = [] self.nodes = []
self.message_sizes = [] self.message_sizes = []
self.nodes_emitted_msg_around_interval = defaultdict(int) self.senders_around_interval = defaultdict(int)
def add_node(self, nodes): def add_node(self, nodes):
self.nodes.extend(nodes) self.nodes.extend(nodes)
@ -26,7 +26,7 @@ class P2p:
now_frac, now_int = math.modf(self.env.now) now_frac, now_int = math.modf(self.env.now)
if now_int % self.config.message_interval == 0 and now_frac <= self.config.max_message_prep_time: if now_int % self.config.message_interval == 0 and now_frac <= self.config.max_message_prep_time:
self.nodes_emitted_msg_around_interval[sender] += 1 self.senders_around_interval[sender] += 1
# Yield 0 to ensure that the broadcast is done in the same time step. # Yield 0 to ensure that the broadcast is done in the same time step.
# Without this, SimPy complains that the broadcast func is not a generator. # Without this, SimPy complains that the broadcast func is not a generator.