Tipo di tesi
Tesi di laurea magistrale
Titolo
Using BlockChains to Generate and Distribute Deny Lists
Corso di studi
INFORMATICA
Parole chiave
- blacklist automation
- blockchain
- botnet detection
- decentralized security
- distributed c2
- honeypots
- intrusion prevention
- kex hashes
- kex-filtering
- orb botnets
- proactive defense
- secure blacklist distribution
- ssh fingerprinting
- threat intelligence
- trust model
Data inizio appello
18/07/2025
Consultabilità
Non consultabile
Data di rilascio
18/07/2028
Riassunto (Italiano)
Kex-Filtering proactively detects SSH botnets by fingerprinting client configurations via KEX hashes, overcoming IP blacklist limits. Tested on Azure/AWS honeypots, it blocked 98.5% of attacks using tens of hashes (<2% false positives). Blacklists are dynamically updated via distributed C2 servers using trust, expiration, and thresholds. Multiple blockchain-based architectures are proposed to ensure secure, tamper-proof, and decentralized blacklist distribution, analyses are conducted on the implementation feasibility of the method, performance metrics are explored.
