Best of Both Worlds: Detecting Application Layer Attacks through 802.11 and Non-802.11 Features von Chatzoglou, Efstratios, Kambourakis, Georgios, Smiliotopoulos, Christos, Kolias, Constantinos

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Let the Cat out of the Bag: Popular Android IoT Apps under Security Scrutiny von Chatzoglou, Efstratios, Kambourakis, Georgios, Smiliotopoulos, Christos

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Pick Quality Over Quantity: Expert Feature Selection and Data Preprocessing for 802.11 Intrusion Detection Systems von Chatzoglou, Efstratios, Kambourakis, Georgios, Kolias, Constantinos, Smiliotopoulos, Christos

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Detecting lateral movement: A systematic survey von Smiliotopoulos, Christos, Kambourakis, Georgios, Kolias, Constantinos

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Revisiting the Detection of Lateral Movement through Sysmon von Smiliotopoulos, Christos, Barmpatsalou , Konstantia, Kambourakis, Georgios

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The Convergence of Artificial Intelligence and Blockchain: The State of Play and the Road Ahead von Bhumichai, Dhanasak, Smiliotopoulos, Christos, Benton, Ryan, Kambourakis, Georgios, Damopoulos, Dimitrios

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On the detection of lateral movement through supervised machine learning and an open-source tool to create turnkey datasets from Sysmon logs von Smiliotopoulos, Christos, Kambourakis, Georgios, Barbatsalou, Konstantia

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Assessing the detection of lateral movement through unsupervised learning techniques von Smiliotopoulos, Christos, Kambourakis, Georgios, Kolias, Constantinos, Gritzalis, Stefanos

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To Be: Discovering Malicious USB Peripherals through Neural Network-Driven Power Analysis von Koffi, Koffi Anderson, Smiliotopoulos, Christos, Kolias, Constantinos, Kambourakis, Georgios

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To (US)Be or Not to (US)Be: Discovering Malicious USB Peripherals through Neural Network-Driven Power Analysis von Koffi, Koffi Anderson, Smiliotopoulos, Christos, Kolias, Constantinos, Kambourakis, Georgios

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