Multidimensional behavioral profiling of internet-of-things in edge networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The last decade has witnessed research advances and wide deployment of Internet-of-things (IoT) in smart homes and connected industry. However, the recent spate of cyber attacks exploiting the vulnerabilities and insufficient security management of IoT devices have created serious challenges for securing IoT devices and applications. As a first step towards understanding and mitigating diverse security threats of IoT devices, this paper develops a measurement framework to automatically collect network traffic of IoT devices in edge networks, and build multidimensional behavioral profiles of these devices which characterize who, when, what, and why on the behavioral patterns of IoT devices based on continuously collected traffic data. To the best of our knowledge, this paper is the first effort to shed light on the IP-spatial, temporal, and cloud service patterns of IoT devices in edge networks, and to explore these multidimensional behavioral fingerprints for IoT device classification, anomaly traffic detection, and network security monitoring for millions of vulnerable and resource-constrained IoT devices on the Internet.

Original languageEnglish (US)
Title of host publicationProceedings of the International Symposium on Quality of Service, IWQoS 2019
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450367783
DOIs
StatePublished - Jun 24 2019
Event2019 International Symposium on Quality of Service, IWQoS 2019 - Phoenix, United States
Duration: Jun 24 2019Jun 25 2019

Publication series

NameProceedings of the International Symposium on Quality of Service, IWQoS 2019

Conference

Conference2019 International Symposium on Quality of Service, IWQoS 2019
CountryUnited States
CityPhoenix
Period6/24/196/25/19

Fingerprint

Internet of things
Profiling
Network security
Internet
Monitoring
Industry
Attack
Anomaly
Vulnerability
Resources
Threat
Security management
World Wide Web

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality
  • Media Technology

Cite this

Xu, K., Wan, Y., Xue, G., & Wang, F. (2019). Multidimensional behavioral profiling of internet-of-things in edge networks. In Proceedings of the International Symposium on Quality of Service, IWQoS 2019 [37] (Proceedings of the International Symposium on Quality of Service, IWQoS 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3326285.3329072

Multidimensional behavioral profiling of internet-of-things in edge networks. / Xu, Kuai; Wan, Yinxin; Xue, Guoliang; Wang, Feng.

Proceedings of the International Symposium on Quality of Service, IWQoS 2019. Association for Computing Machinery, Inc, 2019. 37 (Proceedings of the International Symposium on Quality of Service, IWQoS 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Xu, K, Wan, Y, Xue, G & Wang, F 2019, Multidimensional behavioral profiling of internet-of-things in edge networks. in Proceedings of the International Symposium on Quality of Service, IWQoS 2019., 37, Proceedings of the International Symposium on Quality of Service, IWQoS 2019, Association for Computing Machinery, Inc, 2019 International Symposium on Quality of Service, IWQoS 2019, Phoenix, United States, 6/24/19. https://doi.org/10.1145/3326285.3329072
Xu K, Wan Y, Xue G, Wang F. Multidimensional behavioral profiling of internet-of-things in edge networks. In Proceedings of the International Symposium on Quality of Service, IWQoS 2019. Association for Computing Machinery, Inc. 2019. 37. (Proceedings of the International Symposium on Quality of Service, IWQoS 2019). https://doi.org/10.1145/3326285.3329072
Xu, Kuai ; Wan, Yinxin ; Xue, Guoliang ; Wang, Feng. / Multidimensional behavioral profiling of internet-of-things in edge networks. Proceedings of the International Symposium on Quality of Service, IWQoS 2019. Association for Computing Machinery, Inc, 2019. (Proceedings of the International Symposium on Quality of Service, IWQoS 2019).
@inproceedings{61f651ea4fd14e6ea13c4f0478185312,
title = "Multidimensional behavioral profiling of internet-of-things in edge networks",
abstract = "The last decade has witnessed research advances and wide deployment of Internet-of-things (IoT) in smart homes and connected industry. However, the recent spate of cyber attacks exploiting the vulnerabilities and insufficient security management of IoT devices have created serious challenges for securing IoT devices and applications. As a first step towards understanding and mitigating diverse security threats of IoT devices, this paper develops a measurement framework to automatically collect network traffic of IoT devices in edge networks, and build multidimensional behavioral profiles of these devices which characterize who, when, what, and why on the behavioral patterns of IoT devices based on continuously collected traffic data. To the best of our knowledge, this paper is the first effort to shed light on the IP-spatial, temporal, and cloud service patterns of IoT devices in edge networks, and to explore these multidimensional behavioral fingerprints for IoT device classification, anomaly traffic detection, and network security monitoring for millions of vulnerable and resource-constrained IoT devices on the Internet.",
author = "Kuai Xu and Yinxin Wan and Guoliang Xue and Feng Wang",
year = "2019",
month = "6",
day = "24",
doi = "10.1145/3326285.3329072",
language = "English (US)",
series = "Proceedings of the International Symposium on Quality of Service, IWQoS 2019",
publisher = "Association for Computing Machinery, Inc",
booktitle = "Proceedings of the International Symposium on Quality of Service, IWQoS 2019",

}

TY - GEN

T1 - Multidimensional behavioral profiling of internet-of-things in edge networks

AU - Xu, Kuai

AU - Wan, Yinxin

AU - Xue, Guoliang

AU - Wang, Feng

PY - 2019/6/24

Y1 - 2019/6/24

N2 - The last decade has witnessed research advances and wide deployment of Internet-of-things (IoT) in smart homes and connected industry. However, the recent spate of cyber attacks exploiting the vulnerabilities and insufficient security management of IoT devices have created serious challenges for securing IoT devices and applications. As a first step towards understanding and mitigating diverse security threats of IoT devices, this paper develops a measurement framework to automatically collect network traffic of IoT devices in edge networks, and build multidimensional behavioral profiles of these devices which characterize who, when, what, and why on the behavioral patterns of IoT devices based on continuously collected traffic data. To the best of our knowledge, this paper is the first effort to shed light on the IP-spatial, temporal, and cloud service patterns of IoT devices in edge networks, and to explore these multidimensional behavioral fingerprints for IoT device classification, anomaly traffic detection, and network security monitoring for millions of vulnerable and resource-constrained IoT devices on the Internet.

AB - The last decade has witnessed research advances and wide deployment of Internet-of-things (IoT) in smart homes and connected industry. However, the recent spate of cyber attacks exploiting the vulnerabilities and insufficient security management of IoT devices have created serious challenges for securing IoT devices and applications. As a first step towards understanding and mitigating diverse security threats of IoT devices, this paper develops a measurement framework to automatically collect network traffic of IoT devices in edge networks, and build multidimensional behavioral profiles of these devices which characterize who, when, what, and why on the behavioral patterns of IoT devices based on continuously collected traffic data. To the best of our knowledge, this paper is the first effort to shed light on the IP-spatial, temporal, and cloud service patterns of IoT devices in edge networks, and to explore these multidimensional behavioral fingerprints for IoT device classification, anomaly traffic detection, and network security monitoring for millions of vulnerable and resource-constrained IoT devices on the Internet.

UR - http://www.scopus.com/inward/record.url?scp=85069216170&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85069216170&partnerID=8YFLogxK

U2 - 10.1145/3326285.3329072

DO - 10.1145/3326285.3329072

M3 - Conference contribution

AN - SCOPUS:85069216170

T3 - Proceedings of the International Symposium on Quality of Service, IWQoS 2019

BT - Proceedings of the International Symposium on Quality of Service, IWQoS 2019

PB - Association for Computing Machinery, Inc

ER -