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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Cerberus: Autonomous AI-Based Threat Detection and On-Chain Reputation Recording for U2U Networks

Authors: Kusuma, Laudza;

Cerberus: Autonomous AI-Based Threat Detection and On-Chain Reputation Recording for U2U Networks

Abstract

Cerberus Watchdog is an autonomous threat detection framework designed to monitor the U2Ublockchain mempool in real time, identify potentially malicious transactions using artificial intelligencetechniques, and immutably record validated incidents on-chain through a dedicated smart contract. Bycombining mempool-level surveillance, AI-assisted classification, and blockchain-based reputationrecording, Cerberus Watchdog provides early-warning capabilities, transparency, and accountabilitywithin decentralized ecosystems. This paper presents the system architecture, design rationale,implementation details, detection workflow, preliminary evaluation, security and ethical considerations,limitations, and future research directions. The results indicate that AI-assisted mempool monitoring isa feasible and promising approach for proactive blockchain security.

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Keywords

Blockchain Security, Smart Contracts, Decentralized Systems, Mempool Monitoring, Artificial Intelligence, On-Chain Reputation, Threat Detection

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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