Πλοήγηση ανά Συγγραφέας "Nikas, Evangelos-Polynikis"

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  • Μικρογραφία εικόνας
    Τεκμήριο
    Machine learning-based active operating system fingerprinting dataset.
    (ΕΛ.ΜΕ.ΠΑ., ΣΧΟΛΗ ΜΗΧΑΝΙΚΩΝ (ΣΜΗΧ), Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, 2022-10-21) Nikas, Evangelos-Polynikis; Νίκας, Ευάγγελος-Πολυνίκης
    Cyber-attacks have expanded significantly and progressed in effectiveness over the past few years. As a result, vulnerabilities of targeted computer and network systems can be exploited remotely. Before the initialization of a cyber-attack, a digital reconnaissance of the target is conducted. During this phase, fingerprinting scans are executed, in order to found information such as Operating System (OS) of the target, open ports and Services. The fingerprinting scans are categorized to passive and active fingerprinting scans. This thesis suggests two OS fingerprinting scan datasets in two of the most recent network flow standards from Cisco (NetFlow v9 and IPFIX), allowing a machine learning network monitoring tool to instantly identify the specific on-going scan that a network is undergoing and automating the active OS fingerprint scan detection process.