@inproceedings{c5832803bf084420890f17d757fa4a0f,
title = "Profiling malicious domain by multidimensional features",
abstract = "In malicious domain detection research, one of the most critical challenges is how to construct features which can profile malicious domain. At present, different studies constructed the features of malicious domain from different points or granularity levels respectively. In order to have an insight into these features involved in the existing studies, this paper specifically provides a comprehensive survey and summary. In this paper, we first introduce briefly the harmfulness of malicious domain and the typical malicious behavior based on malicious domain. And then we focus on profiling malicious domain by means of static features and dynamic features. In the end, we also forecast the future of profiling malicious domain.",
keywords = "DNS, Dynamic features, Malicious domain detection, Malware, Static features",
author = "Du Cheng and Zhenyan Liu and Pengfei Zhang and Yifei Zeng and Jia Cui and Lei Kong",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Robots and Intelligent System, ICRIS 2018 ; Conference date: 26-05-2018 Through 27-05-2018",
year = "2018",
month = jul,
day = "11",
doi = "10.1109/ICRIS.2018.00128",
language = "English",
series = "Proceedings - 2018 International Conference on Robots and Intelligent System, ICRIS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "489--495",
booktitle = "Proceedings - 2018 International Conference on Robots and Intelligent System, ICRIS 2018",
address = "United States",
}