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20182026
most citedEvaluation of an Anomaly Detector for Routers using Parameterizable Malware in an IoT Ecosystem

1 citations · 1 across the 5 of their papers we have counts for

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cs.CR2021★ 1 cited

Evaluation of an Anomaly Detector for Routers using Parameterizable Malware in an IoT Ecosystem

John Carter, Spiros Mancoridis

This work explores the evaluation of a machine learning anomaly detector using custom-made parameterizable malware in an Internet of Things (IoT) Ecosystem. It is assumed that the…

cs.CR2021

Evaluating Attacker Risk Behavior in an Internet of Things Ecosystem

Erick Galinkin, John Carter, Spiros Mancoridis

In cybersecurity, attackers range from brash, unsophisticated script kiddies and cybercriminals to stealthy, patient advanced persistent threats. When modeling these attackers, we…