activity
20232026
most citedLLM in the Shell: Generative Honeypots

67 citations · 78 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CR2026

Improving LLM-Based SSH Honeypots Through Prompting and Fine-Tuning

Muris Sladić, Veronica Valeros, Eman Alibalić +1

LLM-based SSH honeypots often use closed cloud LLMs because they give strong shell realism, but cloud models create deployment problems. These include no stable versioning, provide…

cs.CR2026

Slips: Behavioral Evidence Aggregation for Network Security

Sebastian Garcia, Veronica Valeros, Alya Gomaa +7

Network intrusion detection systems often analyze individual packets or flows, although malicious behavior may develop across many connections and over time. This may limit their a…

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.CR2025★ 3 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★ 2 cited

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…

cs.CL2024★ 3 cited

Towards Better Understanding of Cybercrime: The Role of Fine-Tuned LLMs in Translation

Veronica Valeros, Anna Širokova, Carlos Catania +1

Understanding cybercrime communications is paramount for cybersecurity defence. This often involves translating communications into English for processing, interpreting, and genera…

cs.CR2023★ 67 cited

LLM in the Shell: Generative Honeypots

Muris Sladić, Veronica Valeros, Carlos Catania +1

Honeypots are essential tools in cybersecurity for early detection, threat intelligence gathering, and analysis of attacker's behavior. However, most of them lack the required real…

cs.CR2023★ 1 cited

Attacker Profiling Through Analysis of Attack Patterns in Geographically Distributed Honeypots

Veronica Valeros, Maria Rigaki, Sebastian Garcia

Honeypots are a well-known and widely used technology in the cybersecurity community, where it is assumed that placing honeypots in different geographical locations provides better…

cs.CR2023★ 2 cited

Towards a better labeling process for network security datasets

Sebastian Garcia, Veronica Valeros

Most network security datasets do not have comprehensive label assignment criteria, hindering the evaluation of the datasets, the training of models, the results obtained, the comp…