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Mar 19, 2024 · Our system aims to detect malware downloads by determining who is downloading what and from where, rather than trying to classify the content of ...
In this paper we propose Mastino, a novel defense system to detect malware download events. A download event is a 3-tuple that identifies the action of ...
A large-scale study of global trends in software download events, with an analysis of both benign and malicious downloads, and a categorization of events ...
In this paper we propose Mastino, a novel defense system to detect malware download events. A download event is a 3-tuple that identifies the action of ...
Visible to the public Real-Time Detection of Malware Downloads via Large-Scale URL-≫File-≫Machine Graph Mining ; Year of Publication, 2016 ; Authors, Rahbarinia ...
We present AESOP, a scalable algorithm that identifies malicious executable files by applying Aesop's moral that a man is known by the company he keeps.
In this research, we implemented Mastino, a novel defense system to detect malware download Real-Time Detection of Malware Downloads via Large-Scale URL-File- ...
Bibliographic details on Real-Time Detection of Malware Downloads via Large-Scale URL->File->Machine Graph Mining.
We present the Aesop algorithm that leverages locality- sensitive hashing to efficiently compute file similarity values to construct a file-relation graph for ...
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Jun 6, 2016 · Mastino, a novel defense system to detect malware download events. A download event is a 3-tuple that identifies the action of downloading a ...