Title

Algorithmically Generated Domain Detection and Malware Family Classification

Publication Date

2019

Document Type

Article

Abstract

In this paper, we compare the performance of several machine learning based approaches for the tasks of detecting algorithmically generated malicious domains and the categorization of domains according to their malware family. The datasets used for model comparison were provided by the shared task on Detecting Malicious Domain names (DMD 2018). Our models ranked first for two out of the four test datasets provided in the competition. © Springer Nature Singapore Pte Ltd. 2019.

Publication Title

Communications in Computer and Information Science

Volume

969

First Page

640

Last Page

655

DOI

10.1007/978-981-13-5826-5_50

Version

pre print, post print

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