sybil-attack

Detection adn Prevention of Security attack in VANET simulation using SUMO, NS3

Contains research on Sybil attack detection in Vehicular Ad-Hoc Networks (VANETs) using OMNET++ IDE with VEINS and SUMO traffic simulation software. All scenarios may be ran with OMNET++ by running the omnetpp.ini file after starting the TRACI command interface using the veins_launchd.py script alongside Sumo-Gui.

Code for the Paper : NBC-Softmax : Darkweb Author fingerprinting and migration tracking (https://arxiv.org/abs/2212.08184)

A modular composite trust scoring framework for Sybil-resilient permissionless blockchain networks

Detecting Sybil Attack in VANETs

Wi-Fi signal strength-based sybil attack detector

Bitcoin beta rounds Sybil Analysis

Sybil Shield is a local-first Next.js app that helps you detect coordinated farms (Sybil clusters), scammer patterns, and mini-app attacks across social, onchain, and mini-app systems using explainable graph + timing + profile + behavioral signals.

AegisDID is a privacy-preserving decentralized identity platform that combines Verifiable Credentials, Zero-Knowledge-style proofs, AI-driven behavioral biometrics, and Trust Graph analysis to verify genuine users, detect bots and Sybil networks, and enable Zero-KYC access to Web3 applications.

Source code for the paper Active Sybil Attack and Efficient Defense Strategy in IPFS DHT

Educational security analysis on AI platform abuse vectors (Sybil attacks, Anti-Detect browsers, temporary identity bypasses) and modern Anti-Fraud countermeasures. 🛡️🔍

A Wash Ring Detection System