activity
20132025
most citedMy Software has a Vulnerability, should I worry?

201 citations · 468 across the 17 of their papers we have counts for

collaborators

17 papers

cs.CR2025

On the Effect of Ruleset Tuning and Data Imbalance on Explainable Network Security Alert Classifications: a Case-Study on DeepCASE

Koen T. W. Teuwen, Sam Baggen, Emmanuele Zambon +1

Automation in Security Operations Centers (SOCs) plays a prominent role in alert classification and incident escalation. However, automated methods must be robust in the presence o…

cs.CR2025★ 14 cited

The Impact of Emerging Phishing Threats: Assessing Quishing and LLM-generated Phishing Emails against Organizations

Marie Weinz, Nicola Zannone, Luca Allodi +1

Modern organizations are persistently targeted by phishing emails. Despite advances in detection systems and widespread employee training, attackers continue to innovate, posing on…

cs.CR2025★ 4 cited

Ruling the Unruly: Designing Effective, Low-Noise Network Intrusion Detection Rules for Security Operations Centers

Koen T. W. Teuwen, Tom Mulders, Emmanuele Zambon +1

Many Security Operations Centers (SOCs) today still heavily rely on signature-based Network Intrusion Detection Systems (NIDS) such as Suricata. The specificity of intrusion detect…

cs.CR2023★ 1 cited

You Can Tell a Cybercriminal by the Company they Keep: A Framework to Infer the Relevance of Underground Communities to the Threat Landscape

Michele Campobasso, Radu Rădulescu, Sylvan Brons +1

The criminal underground is populated with forum marketplaces where, allegedly, cybercriminals share and trade knowledge, skills, and cybercrime products. However, it is still uncl…

cs.CR2023★ 3 cited

Know Your Cybercriminal: Evaluating Attacker Preferences by Measuring Profile Sales on an Active, Leading Criminal Market for User Impersonation at Scale

Michele Campobasso, Luca Allodi

In this paper we exploit market features proper of a leading Russian cybercrime market for user impersonation at scale to evaluate attacker preferences when purchasing stolen user…

cs.IR2022

THREAT/crawl: a Trainable, Highly-Reusable, and Extensible Automated Method and Tool to Crawl Criminal Underground Forums

Michele Campobasso, Luca Allodi

Collecting data on underground criminal communities is highly valuable both for security research and security operations. Unfortunately these communities live within a constellati…