An Internet Hosted Website Detection Method Based on Network Behavior Analysis for Power Grid Enterprises

Hongyu Zhu; Hong Qiao; Jianwei Tian; Xuan Liu; Weiqiang Luo; Qian Chen

doi:10.1109/EI247390.2019.9062160

An Internet Hosted Website Detection Method Based on Network Behavior Analysis for Power Grid Enterprises

Hongyu Zhu
, Hong Qiao
, Jianwei Tian
, Xuan Liu
, Weiqiang Luo
, Qian Chen

State Grid Corporation of China
Hunan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Internet hosted websites are big threats to power grid enterprises because they may contain sensitive user data and business secrete while its information security is unregulated. Traditional technique to find Internet hosted websites is to set up web crawler and match key words in webpages, which is expensive and inefficient. In this paper, an Internet hosted website detection method based on network behavior analysis is introduced. Instead of parsing whole webpages, this method only analyzes network packet head information to get visit behavior features such as degree dispersion of source IP addresses and source departments visiting an Internet website. All behavior features of a destination website are integrated to get its probability of being an Internet hosted website. According to testing results on real data, Internet hosted websites are found in over 93 percent of the conducted tests.

Original language	English
Title of host publication	2019 3rd IEEE Conference on Energy Internet and Energy System Integration
Subtitle of host publication	Ubiquitous Energy Network Connecting Everything, EI2 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2681-2684
Number of pages	4
ISBN (Electronic)	9781728131375
DOIs	https://doi.org/10.1109/EI247390.2019.9062160
State	Published - Nov 2019
Externally published	Yes
Event	3rd IEEE Conference on Energy Internet and Energy System Integration, EI2 2019 - Changsha, China Duration: 8 Nov 2019 → 10 Nov 2019

Publication series

Name	2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, EI2 2019

Conference

Conference	3rd IEEE Conference on Energy Internet and Energy System Integration, EI2 2019
Country/Territory	China
City	Changsha
Period	8/11/19 → 10/11/19

Keywords

Internet hosted service
Network Behavior
energy enterprise
information security

Access to Document

10.1109/EI247390.2019.9062160

Cite this

Zhu, H., Qiao, H., Tian, J., Liu, X., Luo, W., & Chen, Q. (2019). An Internet Hosted Website Detection Method Based on Network Behavior Analysis for Power Grid Enterprises. In 2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, EI2 2019 (pp. 2681-2684). Article 9062160 (2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, EI2 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EI247390.2019.9062160

Zhu, Hongyu ; Qiao, Hong ; Tian, Jianwei et al. / An Internet Hosted Website Detection Method Based on Network Behavior Analysis for Power Grid Enterprises. 2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, EI2 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 2681-2684 (2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, EI2 2019).

@inproceedings{a2a97dfeafae41e5a96b0eb61806cd53,

title = "An Internet Hosted Website Detection Method Based on Network Behavior Analysis for Power Grid Enterprises",

abstract = "Internet hosted websites are big threats to power grid enterprises because they may contain sensitive user data and business secrete while its information security is unregulated. Traditional technique to find Internet hosted websites is to set up web crawler and match key words in webpages, which is expensive and inefficient. In this paper, an Internet hosted website detection method based on network behavior analysis is introduced. Instead of parsing whole webpages, this method only analyzes network packet head information to get visit behavior features such as degree dispersion of source IP addresses and source departments visiting an Internet website. All behavior features of a destination website are integrated to get its probability of being an Internet hosted website. According to testing results on real data, Internet hosted websites are found in over 93 percent of the conducted tests.",

keywords = "Internet hosted service, Network Behavior, energy enterprise, information security",

author = "Hongyu Zhu and Hong Qiao and Jianwei Tian and Xuan Liu and Weiqiang Luo and Qian Chen",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 3rd IEEE Conference on Energy Internet and Energy System Integration, EI2 2019 ; Conference date: 08-11-2019 Through 10-11-2019",

year = "2019",

month = nov,

doi = "10.1109/EI247390.2019.9062160",

language = "英语",

series = "2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, EI2 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2681--2684",

booktitle = "2019 3rd IEEE Conference on Energy Internet and Energy System Integration",

}

Zhu, H, Qiao, H, Tian, J, Liu, X, Luo, W & Chen, Q 2019, An Internet Hosted Website Detection Method Based on Network Behavior Analysis for Power Grid Enterprises. in 2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, EI2 2019., 9062160, 2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, EI2 2019, Institute of Electrical and Electronics Engineers Inc., pp. 2681-2684, 3rd IEEE Conference on Energy Internet and Energy System Integration, EI2 2019, Changsha, China, 8/11/19. https://doi.org/10.1109/EI247390.2019.9062160

An Internet Hosted Website Detection Method Based on Network Behavior Analysis for Power Grid Enterprises. / Zhu, Hongyu; Qiao, Hong; Tian, Jianwei et al.
2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, EI2 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 2681-2684 9062160 (2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, EI2 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An Internet Hosted Website Detection Method Based on Network Behavior Analysis for Power Grid Enterprises

AU - Zhu, Hongyu

AU - Qiao, Hong

AU - Tian, Jianwei

AU - Liu, Xuan

AU - Luo, Weiqiang

AU - Chen, Qian

PY - 2019/11

Y1 - 2019/11

N2 - Internet hosted websites are big threats to power grid enterprises because they may contain sensitive user data and business secrete while its information security is unregulated. Traditional technique to find Internet hosted websites is to set up web crawler and match key words in webpages, which is expensive and inefficient. In this paper, an Internet hosted website detection method based on network behavior analysis is introduced. Instead of parsing whole webpages, this method only analyzes network packet head information to get visit behavior features such as degree dispersion of source IP addresses and source departments visiting an Internet website. All behavior features of a destination website are integrated to get its probability of being an Internet hosted website. According to testing results on real data, Internet hosted websites are found in over 93 percent of the conducted tests.

AB - Internet hosted websites are big threats to power grid enterprises because they may contain sensitive user data and business secrete while its information security is unregulated. Traditional technique to find Internet hosted websites is to set up web crawler and match key words in webpages, which is expensive and inefficient. In this paper, an Internet hosted website detection method based on network behavior analysis is introduced. Instead of parsing whole webpages, this method only analyzes network packet head information to get visit behavior features such as degree dispersion of source IP addresses and source departments visiting an Internet website. All behavior features of a destination website are integrated to get its probability of being an Internet hosted website. According to testing results on real data, Internet hosted websites are found in over 93 percent of the conducted tests.

KW - Internet hosted service

KW - Network Behavior

KW - energy enterprise

KW - information security

UR - https://www.scopus.com/pages/publications/85084037737

U2 - 10.1109/EI247390.2019.9062160

DO - 10.1109/EI247390.2019.9062160

M3 - 会议稿件

AN - SCOPUS:85084037737

T3 - 2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, EI2 2019

SP - 2681

EP - 2684

BT - 2019 3rd IEEE Conference on Energy Internet and Energy System Integration

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE Conference on Energy Internet and Energy System Integration, EI2 2019

Y2 - 8 November 2019 through 10 November 2019

ER -

Zhu H, Qiao H, Tian J, Liu X, Luo W, Chen Q. An Internet Hosted Website Detection Method Based on Network Behavior Analysis for Power Grid Enterprises. In 2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, EI2 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 2681-2684. 9062160. (2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, EI2 2019). doi: 10.1109/EI247390.2019.9062160

An Internet Hosted Website Detection Method Based on Network Behavior Analysis for Power Grid Enterprises

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Keywords

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