Machine learning-based IP Camera identification system

Cheng Wei Huang, Tien Yi Wu, Yuan Tai, Ching Hsuan Shao, Lo An Chen, Meng Hsun Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the development of technology, application of the Internet in daily life is increasing, making our connection with the Internet closer. However, with the improvement of convenience, information security has become more and more important. How to ensure information security in a convenient living environment is a question worth discussing. For instance, the widespread deployment of IP-cameras has made great progress in terms of convenience. On the contrary, it increases the risk of privacy exposure. Poorly designed surveillance devices may be implanted with suspicious software, which might be a thorny issue to human life. To effectively identify vulnerable devices, we design an SDN-based identification system that uses machine learning technology to identify brands and probable model types by identifying packet features. The identifying results make it possible for further vulnerability analysis.

Original languageEnglish
Title of host publicationProceedings - 2020 International Computer Symposium, ICS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages426-430
Number of pages5
ISBN (Electronic)9781728192550
DOIs
StatePublished - Dec 2020
Event2020 International Computer Symposium, ICS 2020 - Tainan, Taiwan
Duration: 17 Dec 202019 Dec 2020

Publication series

NameProceedings - 2020 International Computer Symposium, ICS 2020

Conference

Conference2020 International Computer Symposium, ICS 2020
Country/TerritoryTaiwan
CityTainan
Period17/12/2019/12/20

Keywords

  • n/a

Fingerprint

Dive into the research topics of 'Machine learning-based IP Camera identification system'. Together they form a unique fingerprint.

Cite this