Simulation of Attacker Defender Interaction in a Noisy Security Game

no code implementations • 8 Dec 2022 • Erick Galinkin, Emmanouil Pountourakis, John Carter, Spiros Mancoridis

In the cybersecurity setting, defenders are often at the mercy of their detection technologies and subject to the information and experiences that individual analysts have.

Decision Making

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

no code implementations • 29 Oct 2021 • 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.

Anomaly Detection

Evaluating Attacker Risk Behavior in an Internet of Things Ecosystem

no code implementations • 23 Sep 2021 • Erick Galinkin, John Carter, Spiros Mancoridis

In cybersecurity, attackers range from brash, unsophisticated script kiddies and cybercriminals to stealthy, patient advanced persistent threats.

Behavioral Malware Classification using Convolutional Recurrent Neural Networks

no code implementations • 19 Nov 2018 • Bander Alsulami, Spiros Mancoridis

Behavioral malware classification aims to go beyond the detection of malware by also identifying a malware's family according to a naming scheme such as the ones used by anti-virus vendors.

Behavioral Malware Classification Behavioral Malware Detection +3