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 proceedingConference Proceedingpeer-review

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 languageEnglish
Title of host publicationProceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538692943
DOIs
Publication statusPublished - 2 Jul 2018
Externally publishedYes
Event15th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2018 - Auckland, New Zealand
Duration: 27 Nov 201830 Nov 2018

Publication series

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

Conference

Conference15th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2018
Country/TerritoryNew Zealand
CityAuckland
Period27/11/1830/11/18

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