Search Results for author: Roberto Perdisci

Found 2 papers, 0 papers with code

SENet: Visual Detection of Online Social Engineering Attack Campaigns

no code implementations10 Jan 2024 Irfan Ozen, Karthika Subramani, Phani Vadrevu, Roberto Perdisci

SEShield consists of three main components: (i) a custom security crawler, called SECrawler, that is dedicated to scouting the web to collect examples of in-the-wild SE attacks; (ii) SENet, a deep learning-based image classifier trained on data collected by SECrawler that aims to detect the often glaring visual traits of SE attack pages; and (iii) SEGuard, a proof-of-concept extension that embeds SENet into the web browser and enables real-time SE attack detection.

Practical Attacks Against Graph-based Clustering

no code implementations29 Aug 2017 Yizheng Chen, Yacin Nadji, Athanasios Kountouras, Fabian Monrose, Roberto Perdisci, Manos Antonakakis, Nikolaos Vasiloglou

Graph modeling allows numerous security problems to be tackled in a general way, however, little work has been done to understand their ability to withstand adversarial attacks.

Clustering Graph Clustering

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