7 papers
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…
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…
Ghost Without Shell: Measuring Non-Interactive SSH Attacks on Honeypots
Veronica Valeros, Muris SladiÄ, 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…
AdvancedShelLM: A Stateful Multi-Agent LLM Honeypot for SSH Deception
Muris SladiÄ, Eman AlibaliÄ, 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…
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…
VelLMes: A high-interaction AI-based deception framework
Muris SladiÄ, 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…