💥 💥 on Nostr: 🚨📢 "In this work, we explore the LN’s susceptibility to censorship by a ...
🚨📢 "In this work, we explore the LN’s susceptibility to censorship by a network-level actor such as a malicious autonomous system. We show that a network-level actor can identify and censor all payments routed via their network by just examining the packet headers. Our results indicate that it is viable to accurately identify LN messages despite the fact that all inter-peer communication is end-to-end encrypted. Additionally, we describe how a network-level observer can determine a node’s role in a payment path based on timing, direction of flow and message type, and demonstrate the approach’s feasibility using experiments in a live instance of the network." #Lightning #Nostr
read the fucking paper.
presented at the Advances in Financial Technologies conference in Vienna a few days ago.
Published at
2024-09-29 20:26:52Event JSON
{
"id": "74d9f9ec0387d2a7e9d8c5af6f6b9d3830becb42dd01f9367d3a187e55fc3b95",
"pubkey": "ac91847195ed414c475db26b4e7bf4f9cc487af2a423df0975862a96b5093618",
"created_at": 1727641612,
"kind": 1,
"tags": [
[
"e",
"f0dc65b438f013e701b590bc5a8860c2c32185d2a022c2906b56b4659962f883",
"",
"mention"
],
[
"t",
"Lightning"
],
[
"t",
"Nostr"
]
],
"content": "🚨📢 \"In this work, we explore the LN’s susceptibility to censorship by a network-level actor such as a malicious autonomous system. We show that a network-level actor can identify and censor all payments routed via their network by just examining the packet headers. Our results indicate that it is viable to accurately identify LN messages despite the fact that all inter-peer communication is end-to-end encrypted. Additionally, we describe how a network-level observer can determine a node’s role in a payment path based on timing, direction of flow and message type, and demonstrate the approach’s feasibility using experiments in a live instance of the network.\" #Lightning #Nostr\n\nnostr:note17rwxtdpc7qf7wqd4jz794zrqctpjrpwj5q3v9yrt266xtxtzlzps4w3wdm",
"sig": "8e7bf2e3a15742957be4e3ca8a30bc83eda520fc212ecdf8e5dd36e18f131016f55bf87aa2547451d09b6099b71cffe1f209886c065865d4b28475ea0dfa2597"
}
