Detection Metbod of Trojan's Control Domain Based on Improved Neural Network Algoritbm
Firstly, the character that the Trojans use domain name to control was analyzed and the method that DNS adopted to detect Trojans was introduced. Secondly, based on the analysis of static and dynamic characters for Trojan domain name, eight indicators were obtained as the input of BP neural network...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2014-07-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.07.007/ |
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| _version_ | 1841529337431457792 |
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| author | Aijiang Liu Changhui Huang Guangjun Hu |
| author_facet | Aijiang Liu Changhui Huang Guangjun Hu |
| author_sort | Aijiang Liu |
| collection | DOAJ |
| description | Firstly, the character that the Trojans use domain name to control was analyzed and the method that DNS adopted to detect Trojans was introduced. Secondly, based on the analysis of static and dynamic characters for Trojan domain name, eight indicators were obtained as the input of BP neural network algorithm, including operation time of domain name, the period to visit the domain name, the variation speed of IP address, the country change of IP address, IP address of private address, the same domain name with multiple IP address for different countries, TTL value and search times of domain name. An improved BP neural network algorithm was proposed to solve training efficiency for a great number of domain names, and large average error. Finally, the experimental evaluation of samples was tested by improved neural network algorithm. Compared with traditional neural network algorithm, the detection efficiency is better. |
| format | Article |
| id | doaj-art-67f00b6464db4b57bb2c5c207b226536 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2014-07-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-67f00b6464db4b57bb2c5c207b2265362025-01-15T03:19:09ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012014-07-0130394259620021Detection Metbod of Trojan's Control Domain Based on Improved Neural Network AlgoritbmAijiang LiuChanghui HuangGuangjun HuFirstly, the character that the Trojans use domain name to control was analyzed and the method that DNS adopted to detect Trojans was introduced. Secondly, based on the analysis of static and dynamic characters for Trojan domain name, eight indicators were obtained as the input of BP neural network algorithm, including operation time of domain name, the period to visit the domain name, the variation speed of IP address, the country change of IP address, IP address of private address, the same domain name with multiple IP address for different countries, TTL value and search times of domain name. An improved BP neural network algorithm was proposed to solve training efficiency for a great number of domain names, and large average error. Finally, the experimental evaluation of samples was tested by improved neural network algorithm. Compared with traditional neural network algorithm, the detection efficiency is better.http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.07.007/Trojandomain nameneural network |
| spellingShingle | Aijiang Liu Changhui Huang Guangjun Hu Detection Metbod of Trojan's Control Domain Based on Improved Neural Network Algoritbm Dianxin kexue Trojan domain name neural network |
| title | Detection Metbod of Trojan's Control Domain Based on Improved Neural Network Algoritbm |
| title_full | Detection Metbod of Trojan's Control Domain Based on Improved Neural Network Algoritbm |
| title_fullStr | Detection Metbod of Trojan's Control Domain Based on Improved Neural Network Algoritbm |
| title_full_unstemmed | Detection Metbod of Trojan's Control Domain Based on Improved Neural Network Algoritbm |
| title_short | Detection Metbod of Trojan's Control Domain Based on Improved Neural Network Algoritbm |
| title_sort | detection metbod of trojan s control domain based on improved neural network algoritbm |
| topic | Trojan domain name neural network |
| url | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.07.007/ |
| work_keys_str_mv | AT aijiangliu detectionmetbodoftrojanscontroldomainbasedonimprovedneuralnetworkalgoritbm AT changhuihuang detectionmetbodoftrojanscontroldomainbasedonimprovedneuralnetworkalgoritbm AT guangjunhu detectionmetbodoftrojanscontroldomainbasedonimprovedneuralnetworkalgoritbm |