most citedVelLMes: A high-interaction AI-based deception framework

3 citations · 3 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Ghost Without Shell: Measuring Non-Interactive SSH Attacks on Honeypots

Veronica Valeros, Muris Sladić, Sebastian Garcia

Cyber deception research has focused on improving honeypot deception capabilities to increase attacker engagement and extend their interactions to collect more and better intellige…

cs.CR2026

AdvancedShelLM: A Stateful Multi-Agent LLM Honeypot for SSH Deception

Muris Sladić, Eman Alibalić, Veronica Valeros +2

LLM-based SSH honeypots can generate believable interactions, but evaluations indicate they remain somewhat identifiable to determined attackers, indicating the need for a better s…

cs.CR2026

Decoys Cannot Go Everywhere: Mapping the Deception Surface in MITRE ATT&CK

Veronica Valeros, Carlos Catania, Viliam Lisý +1

Cyber deception research often assumes that a decoy can be placed wherever there is attacker behavior. This work tests that assumption across MITRE ATT&CK v18.1. We introduce a fou…

cs.CR20253 cited

VelLMes: A high-interaction AI-based deception framework

Muris Sladić, Veronica Valeros, Carlos Catania +1

There are very few SotA deception systems based on Large Language Models. The existing ones are limited only to simulating one type of service, mainly SSH shells. These systems - b…

cs.CR2025

ARACNE: An LLM-Based Autonomous Shell Pentesting Agent

Tomas Nieponice, Veronica Valeros, Sebastian Garcia

We introduce ARACNE, a fully autonomous LLM-based pentesting agent tailored for SSH services that can execute commands on real Linux shell systems. Introduces a new agent architect…