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19 Jul 2017 · Abstract:Knowledge about the graph structure of the Web is important for understanding this complex socio-technical system and for devising ...
In this study, we conduct data science methods on a large crawl of surface and deep Web pages with the aim to increase such knowledge. To accomplish this, we ...
19 Jul 2017 · This is the first large-scale study describing the differences in global properties between malicious and clean parts of the Web and can ...
Malware distributions and graph structure of the Web. S. Scepanovic, I. Mishkovski, J. Ruohonen, F. Ayala-Gómez, T. Aura, and S. Hyrynsalmi. CoRR, (2017 ). 1.
Dive into the research topics of 'Malware distributions and graph structure of the Web'. Together they form a unique fingerprint. Sort by; Weight ...
Specifically, a deep learning framework for general graph structure representation is proposed in this paper, which is designed specifically for malware ...
25 Apr 2024 · Finally, we employ the representation vectors obtained from the output of a three-layer perceptron to differentiate between benign and malicious ...
We formally define the graph of an MDN to visualize top-level-domain (TLD) data collected from Google Safe Browsing reports in a temporal manner characterizing ...
28 Mar 2023 · Yet, no literature review focusing on graph-based deep learning for malware detection exists. In this survey, we provide an in-depth literature ...
As a countermeasure, many malware detection methods are proposed to identify malicious behaviours based on traffic characteristics. However, the emerging ...