Web attack forensics based on network traffic behavior characteristics and URLs

Guozi Sun; Lei Zhu; Huakang Li; Wenjun Li

doi:10.1109/AVSS.2018.8639335

Web attack forensics based on network traffic behavior characteristics and URLs

Guozi Sun, Lei Zhu, Huakang Li, Wenjun Li

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

1 Citation (Scopus)

Abstract

With the continuous development of Internet technology, the Internet has penetrated into every aspect of people's lives, and the importance of the network has also increased. The technology of network attack is constantly becoming more complex and diversified. Many network applications suffer from various network attacks and security threats, and network security problems are becoming more and more serious, new requirements are imposed on Web attack forensics. We propose a new Web attack forensics method combining network traffic characteristics with URLs based on the characteristics of network traffic. Our method achieved satisfactory results on the test data set.

Original language	English
Title of host publication	Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538692943
DOIs	https://doi.org/10.1109/AVSS.2018.8639335
Publication status	Published - 2 Jul 2018
Externally published	Yes
Event	15th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2018 - Auckland, New Zealand Duration: 27 Nov 2018 → 30 Nov 2018

Publication series

Name	Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance

Conference

Conference	15th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2018
Country/Territory	New Zealand
City	Auckland
Period	27/11/18 → 30/11/18

Access to Document

10.1109/AVSS.2018.8639335

Cite this

Sun, G., Zhu, L., Li, H., & Li, W. (2018). Web attack forensics based on network traffic behavior characteristics and URLs. In Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance Article 8639335 (Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AVSS.2018.8639335

Sun, Guozi ; Zhu, Lei ; Li, Huakang et al. / Web attack forensics based on network traffic behavior characteristics and URLs. Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance. Institute of Electrical and Electronics Engineers Inc., 2018. (Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance).

@inproceedings{d136646df37044218ef6e6b4b20134d6,

title = "Web attack forensics based on network traffic behavior characteristics and URLs",

abstract = "With the continuous development of Internet technology, the Internet has penetrated into every aspect of people's lives, and the importance of the network has also increased. The technology of network attack is constantly becoming more complex and diversified. Many network applications suffer from various network attacks and security threats, and network security problems are becoming more and more serious, new requirements are imposed on Web attack forensics. We propose a new Web attack forensics method combining network traffic characteristics with URLs based on the characteristics of network traffic. Our method achieved satisfactory results on the test data set.",

author = "Guozi Sun and Lei Zhu and Huakang Li and Wenjun Li",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2018 ; Conference date: 27-11-2018 Through 30-11-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/AVSS.2018.8639335",

language = "English",

series = "Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance",

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

booktitle = "Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance",

}

Sun, G, Zhu, L, Li, H & Li, W 2018, Web attack forensics based on network traffic behavior characteristics and URLs. in Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance., 8639335, Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance, Institute of Electrical and Electronics Engineers Inc., 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2018, Auckland, New Zealand, 27/11/18. https://doi.org/10.1109/AVSS.2018.8639335

Web attack forensics based on network traffic behavior characteristics and URLs. / Sun, Guozi; Zhu, Lei; Li, Huakang et al.
Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance. Institute of Electrical and Electronics Engineers Inc., 2018. 8639335 (Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance).

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

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AU - Zhu, Lei

AU - Li, Huakang

AU - Li, Wenjun

PY - 2018/7/2

Y1 - 2018/7/2

N2 - With the continuous development of Internet technology, the Internet has penetrated into every aspect of people's lives, and the importance of the network has also increased. The technology of network attack is constantly becoming more complex and diversified. Many network applications suffer from various network attacks and security threats, and network security problems are becoming more and more serious, new requirements are imposed on Web attack forensics. We propose a new Web attack forensics method combining network traffic characteristics with URLs based on the characteristics of network traffic. Our method achieved satisfactory results on the test data set.

AB - With the continuous development of Internet technology, the Internet has penetrated into every aspect of people's lives, and the importance of the network has also increased. The technology of network attack is constantly becoming more complex and diversified. Many network applications suffer from various network attacks and security threats, and network security problems are becoming more and more serious, new requirements are imposed on Web attack forensics. We propose a new Web attack forensics method combining network traffic characteristics with URLs based on the characteristics of network traffic. Our method achieved satisfactory results on the test data set.

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U2 - 10.1109/AVSS.2018.8639335

DO - 10.1109/AVSS.2018.8639335

M3 - Conference Proceeding

AN - SCOPUS:85063302187

T3 - Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance

BT - Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2018

Y2 - 27 November 2018 through 30 November 2018

ER -

Sun G, Zhu L, Li H, Li W. Web attack forensics based on network traffic behavior characteristics and URLs. In Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance. Institute of Electrical and Electronics Engineers Inc. 2018. 8639335. (Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance). doi: 10.1109/AVSS.2018.8639335

Web attack forensics based on network traffic behavior characteristics and URLs

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