Detecting Sybil attacks using IP address monitoring for a Linea airdrop fair distribution requires combining network analysis techniques with behavioral analytics. Here’s how you can use IP address data effectively to detect Sybil wallets.
IP Address Correlation
Shared IP Addresses: Monitor if multiple wallets are interacting with your system (e.g., registering, completing tasks) from the same IP address. This is a strong indicator of Sybil activity.
Subnet Correlation: Check if wallets are coming from the same subnet (e.g., 192.168.1.X). Attackers may use proxies or VPNs but often stick to a small range of IP addresses.
Time-Based Correlation: Identify wallets that interact within a short time frame from the same IP or closely related IPs.
Device Fingerprinting
Combine IP address monitoring with device fingerprinting: Track unique browser/device attributes (e.g., user agent, screen resolution, browser plugins).
Identify wallets accessed from the same device or with highly similar device configurations.
Proxy and VPN Detection
Blacklist Known VPNs and Proxies: Use services like IP2Proxy, MaxMind, or IPQualityScore to identify and block common proxy or VPN IPs.
Analyze Latency: High latencies or mismatched geolocations can indicate VPN/proxy usage. Rate-Limit Suspicious IPs: Limit the number of wallet registrations or interactions from a single IP address within a specific time frame.
Behavior Analysis by IP
Monitor Patterns:
Look for repetitive behavior, such as similar transaction sizes,dApp interactions,or timestamps.
Identify patterns of simultaneous activity (e.g., multiple wallets interacting with the same contracts at the same time from the same IP).
Usage Density: Detect an unusually high number of wallets connected from a single IP address or geographical location.
In discord, moderator already told that was final sybil filtering, only if anyone marked as sybil mistakenly he can appeal. Max 20 accounts allowed as per Nansen report. Thanks for your suggestion, mate!
Some people use VPNs and may share the same server, which is why I believe this method may not be very effective.
While it is true that, as mentioned on Discord, this is the final evaluation, I think it would be beneficial to implement additional filters. For example, monitoring network activity after tasks are completed and verifying whether the wallet still holds funds on Linea could improve accuracy. Additionally, there are 137,483 addresses that were not filtered, as Nansen allowed them due to having fewer than 20 associated wallets. If this limit were further reduced, I believe it would enhance the overall effectiveness of the filtering process.
And what will it solve?
You will only destroy small farmers but industrial farmers using recently hacked antidetect browser will all avoid these criteria, leaving their wallets intact.
Totally dislike the idea. We’re not living in prison, we’re in a free and decentralized word. Checking IP or any other private information is against my rights and privacy
Totally against tracking people’s IP, for the purpose of decentralization and privacy, this will only cause chaos. Not a good idea. Also it is worth noting that we can never eliminate sybils 100% but what we can do is even if they qualify they don’t get an edge, they get less. So the token design is very important
Also Iinea is a big project, all the big projects allow small farmers up to 20 wallets which in my opinion is not bad but the airdrop should be designed in such a way that gives single wallet advantage.