Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
×
Abstract: Malicious domain is a vital component of various cyber attacks. Recent techniques detect malicious domains by building classifiers based on domain ...
Abstract—Malicious domain is a vital component of various cyber attacks. Recent techniques detect malicious domains by building classifiers based on domain ...
To model the associations of domains, a straightforward idea is that domains sharing the same IP address are likely similar.
People also ask
Malicious domain detection via domain relationship and graph models. X. Sun et al. Deepdom: malicious domain detection with scalable and heterogeneous graph ...
In this paper, we present a scalable malicious domain detection approach that uses event logs routinely collected by enterprises and requires no additional data.
A malicious domain detection technique using the labeled domains which can be traced back from queries history of all domains to verify and figure out the ...
In this paper, we proposed AGCN-Domain to detect malicious domains by combining various relations. The core concept behind our work is to analyze relations ...
We propose MalShoot, a graph embedding technique for detecting malicious domains using passive DNS database. We base its design on the intuition that a group of ...
Aug 22, 2023 · Abstract—Malicious domain detection (MDD) is an open se- curity challenge that aims to detect if an Internet domain.
apply for malicious domain detection based on DNS. graph. The DNS graph representing the relationship. between domains and its resolving IP addresses, after.