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Predicting Cyber Security Incidents Using Feature-Based Characterization of Network-Level Malicious Activities.

, , , , , and . IWSPA@CODASPY, page 3-9. ACM, (2015)

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Prioritizing Security Spending: A Quantitative Analysis of Risk Distributions for Different Business Profiles., , , and . WEIS, (2015)An LLM-based Framework for Fingerprinting Internet-connected Devices., , and . IMC, page 478-484. ACM, (2023)Patch Me If You Can: A Study on the Effects of Individual User Behavior on the End-Host Vulnerability State., , , , and . PAM, volume 10176 of Lecture Notes in Computer Science, page 113-125. Springer, (2017)Can Less Be More? A Game-Theoretic Analysis of Filtering vs. Investment., , and . GameSec, volume 8840 of Lecture Notes in Computer Science, page 329-339. Springer, (2014)Characterizing the Internet Host Population Using Deep Learning: A Universal and Lightweight Numerical Embedding., and . Internet Measurement Conference, page 133-146. ACM, (2018)Deterrence, Backup, or Insurance: Game-Theoretic Modeling of Ransomware., , and . Games, 14 (2): 20 (2023)Enhancing Vulnerability Prioritization: Data-Driven Exploit Predictions with Community-Driven Insights., , , , and . EuroS&P Workshops, page 194-206. IEEE, (2023)From Patching Delays to Infection Symptoms: Using Risk Profiles for an Early Discovery of Vulnerabilities Exploited in the Wild., , , , , and . USENIX Security Symposium, page 903-918. USENIX Association, (2018)Cloudy with a Chance of Breach: Forecasting Cyber Security Incidents., , , , , , and . USENIX Security Symposium, page 1009-1024. USENIX Association, (2015)Risky business: Fine-grained data breach prediction using business profiles., , , and . J. Cybersecur., 2 (1): 15-28 (2016)