2018 · 11 citations · 7 references
ComputingComputer ScienceCybersecurityComputer SecurityCybercrimeNetwork SecurityBot DetectionBotnet AnalysisDomain Name AnalysisPhishingPhishing DetectionPhishing Email Analysis
Malicious domains play an important role for many malicious operations: For example, botnets use them for avoiding hard-coded IP addresses when connecting to command-and-control servers, and they are heavily used by criminals when distributing spam and phishing emails. Being able to identify malicious domains and block the harmful traffic is therefore one of the keys to create a more secure cyber environment. In this paper we demonstrate how the lexical analysis of domain names can contribute to increasing the precision and decreasing the number of false positives when combined with other basic domain features.
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Shuang Hao, Alex Kantchelian, Brad Miller et al. · 2016 · 107 citations
Analysis of Malware behavior: Type classification using machine learning
Radu S. Pirscoveanu, S. S. Hansen, Thor M. T. Larsen et al. · 2015 · 105 citations
On the ground truth problem of malicious DNS traffic analysis
Matija Stevanovic, Jens Myrup Pedersen, Alessandro D’Alconzo et al. · Computers & Security · 2015 · 43 citations
Analysis of malware behavior: Type classification using machine learning
Radu S. Pirscoveanu, S. S. Hansen, Thor M. T. Larsen et al. · 2015 · 36 citations