Detection of algorithmically generated malicious domain names based on lexical features
碩士 === 國立臺北大學 === 資訊工程學系 === 106 === The latest threat reports show a notable increase in detected botnets compared to previous years. In fact, the number of IoT botnet C&C controllers alone more than doubled in 2017. Botnet C&C controllers are used by cybercriminals to launch attacks using...
Main Authors: | Dmitrii Matveichev, DmitriiVladimirovichMatveichev |
---|---|
Other Authors: | TSENG, CHIN-YANG |
Format: | Others |
Language: | en_US |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/ecgxj8 |
Similar Items
-
Malicious Domain Names Detection Algorithm Based on Lexical Analysis and Feature Quantification
by: Hong Zhao, et al.
Published: (2019-01-01) -
A Study of the Detection of Malicious Domain Name Generated by Dynamic Domain Name Generation Algorithm
by: Yu-Feng Chu, et al. -
A Lexical Identification Model for Detecting Malicious Domain Names Without Vowels
by: Lin, Chia Hung, et al.
Published: (2014) -
Malicious Domain Names Detection Algorithm Based on N-Gram
by: Hong Zhao, et al.
Published: (2019-01-01) -
Identification of Botnet domain name base on lexical feature
by: Tsai, Yung Yao, et al.
Published: (2012)