Web Behavior Detection Based on Deep Neural Network

被引：8

作者：

Yong, Binbin ^{[1
,2
]}

Liu, Xin ^{[1
]}

Liu, Yan ^{[3
]}

Yin, Hang ^{[1
]}

Huang, Liang ^{[2
]}

Zhou, Qingguo ^{[1
]}

机构：

[1] Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou, Gansu, Peoples R China

[2] Lanzhou Univ, Sch Phys Sci & Technol, Lanzhou, Gansu, Peoples R China

[3] Baidu, Baidu X Lab, Beijing, Peoples R China

来源：

2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI) | 2018年

基金：

中国国家自然科学基金;

关键词：

network security; web injection; deep neural network; webshell detection; RANDOM FOREST; CLASSIFICATION;

D O I：

10.1109/SmartWorld.2018.00320

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Network security is a complex and difficult problem, in which web injection is one of the most serious security problems, especially webshell. A webshell is a malicious script used by an attacker with the intent to escalate and maintain persistent access to an already compromised Web application. To recognize the webshells, a tool to analyze the behavior of webshells is very important. In this paper, we design a deep neural network (DNN) and apply it into webshell detection. Results show that DNN has great potential for network security detection.

引用

页码：1911 / 1916

页数：6

共 50 条

[31] Calligraphy Character Detection Based on Deep Convolutional Neural Network
Peng, Xianlin
Kang, Jian
Wu, Yinjie
Feng, Xiaoyi
APPLIED SCIENCES-BASEL, 2022, 12 (19):
[32] Research on Daily Objects Detection Based on Deep Neural Network
Ding, Sheng
Zhao, Kun
2017 INTERNATIONAL SYMPOSIUM ON APPLICATION OF MATERIALS SCIENCE AND ENERGY MATERIALS (SAMSE 2017), 2018, 322
[33] A Deep Neural Network Based on Circular Representation for Target Detection
Lin, Cong
Chen, Zhoujian
Huang, Yiquan
Jiang, Haoyu
Du, Wencai
Chen, Qiong
JOURNAL OF SENSORS, 2022, 2022
[34] Deep Neural Network–Based Detection and Verification of Microelectronic Images
Md Alimoor Reza
Zhenhua Chen
David J. Crandall
Journal of Hardware and Systems Security, 2020, 4 (1) : 44 - 54
[35] CATARACT DETECTION AND GRADING BASED ON DEEP CONVOLUTIONAL NEURAL NETWORK
Zhang, Hongyan
Niu, Kai
Xiong, Yanmin
Yang, Weihua
He, Zhiqiang
Song, Hongxin
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2019, 60 (09)
[36] Detection Method of Citrus Based on Deep Convolution Neural Network
Bi S.
Gao F.
Chen J.
Zhang L.
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2019, 50 (05): : 181 - 186
[37] Research on image saliency detection based on deep neural network
Qiu, Linrun
Zhang, Dongbo
Hu, Yingkun
IET IMAGE PROCESSING, 2024, : 3393 - 3402
[38] Embedded Object Detection System Based on Deep Neural Network
Luo, Hanwu
Li, Wenzhen
Luo, Wang
Li, Fang
Chen, Jun
Xia, Yuan
2020 13TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2020), 2020, : 383 - 386
[39] Lane detection based on IBN deep neural network and attention
Song, Yue
Wang, Li-yong
Wang, Hao-dong
Li, Meng-lin
CONNECTION SCIENCE, 2022, 34 (01) : 2671 - 2688
[40] Forward Vehicle Detection Based on Deep Convolution Neural Network
Zhao, Dongbo
Li, Hui
ADVANCES IN MATERIALS, MACHINERY, ELECTRONICS III, 2019, 2073

← 1 2 3 4 5 →