Toward a sensor trustworthiness measure for grid-connected IoT-enabled smart cities

Megan Culler; Katherine Davis

doi:10.1109/GreenTech.2018.00038

Toward a sensor trustworthiness measure for grid-connected IoT-enabled smart cities

Megan Culler
, Katherine Davis

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

4 Scopus citations

Abstract

Traditional security measures for large-scale critical infrastructure systems have focused on keeping adversaries out of the system. As the internet of things (IoT) extends into millions of homes, with tens or hundreds of devices each, the threat landscape is complicated. IoT devices have unknown access capabilities with unknown reach into other systems. This paper presents ongoing work on how techniques in sensor verification and cyber-physical modeling and analysis on bulk power systems can be applied to identify malevolent IoT devices and secure smart and connected communities against the most impactful threats.

Original language	English
Title of host publication	Proceedings - 2018 IEEE Annual Green Technologies Conference, GreenTech 2018
Publisher	IEEE Computer Society
Pages	168-171
Number of pages	4
ISBN (Electronic)	9781538651834
DOIs	https://doi.org/10.1109/GreenTech.2018.00038
State	Published - Jun 5 2018
Externally published	Yes
Event	2018 IEEE Annual Green Technologies Conference, GreenTech 2018 - Austin, United States Duration: Apr 4 2018 → Apr 6 2018

Publication series

Name	IEEE Green Technologies Conference
Volume	2018-April
ISSN (Electronic)	2166-5478

Conference

Conference	2018 IEEE Annual Green Technologies Conference, GreenTech 2018
Country/Territory	United States
City	Austin
Period	04/4/18 → 04/6/18

Keywords

Cyber physical systems
Power system security
Security metrics
Situational awareness
Smart grids
Wireless sensor networks

Access to Document

10.1109/GreenTech.2018.00038

Cite this

@inproceedings{7c616a5e2c4c4dd2af9d4b264ae8e812,

title = "Toward a sensor trustworthiness measure for grid-connected IoT-enabled smart cities",

abstract = "Traditional security measures for large-scale critical infrastructure systems have focused on keeping adversaries out of the system. As the internet of things (IoT) extends into millions of homes, with tens or hundreds of devices each, the threat landscape is complicated. IoT devices have unknown access capabilities with unknown reach into other systems. This paper presents ongoing work on how techniques in sensor verification and cyber-physical modeling and analysis on bulk power systems can be applied to identify malevolent IoT devices and secure smart and connected communities against the most impactful threats.",

keywords = "Cyber physical systems, Power system security, Security metrics, Situational awareness, Smart grids, Wireless sensor networks",

author = "Megan Culler and Katherine Davis",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Annual Green Technologies Conference, GreenTech 2018 ; Conference date: 04-04-2018 Through 06-04-2018",

year = "2018",

month = jun,

day = "5",

doi = "10.1109/GreenTech.2018.00038",

language = "English",

series = "IEEE Green Technologies Conference",

publisher = "IEEE Computer Society",

pages = "168--171",

booktitle = "Proceedings - 2018 IEEE Annual Green Technologies Conference, GreenTech 2018",

}

Culler, M & Davis, K 2018, Toward a sensor trustworthiness measure for grid-connected IoT-enabled smart cities. in Proceedings - 2018 IEEE Annual Green Technologies Conference, GreenTech 2018. IEEE Green Technologies Conference, vol. 2018-April, IEEE Computer Society, pp. 168-171, 2018 IEEE Annual Green Technologies Conference, GreenTech 2018, Austin, United States, 04/4/18. https://doi.org/10.1109/GreenTech.2018.00038

Toward a sensor trustworthiness measure for grid-connected IoT-enabled smart cities. / Culler, Megan; Davis, Katherine.
Proceedings - 2018 IEEE Annual Green Technologies Conference, GreenTech 2018. IEEE Computer Society, 2018. p. 168-171 (IEEE Green Technologies Conference; Vol. 2018-April).

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

TY - GEN

T1 - Toward a sensor trustworthiness measure for grid-connected IoT-enabled smart cities

AU - Culler, Megan

AU - Davis, Katherine

PY - 2018/6/5

Y1 - 2018/6/5

N2 - Traditional security measures for large-scale critical infrastructure systems have focused on keeping adversaries out of the system. As the internet of things (IoT) extends into millions of homes, with tens or hundreds of devices each, the threat landscape is complicated. IoT devices have unknown access capabilities with unknown reach into other systems. This paper presents ongoing work on how techniques in sensor verification and cyber-physical modeling and analysis on bulk power systems can be applied to identify malevolent IoT devices and secure smart and connected communities against the most impactful threats.

AB - Traditional security measures for large-scale critical infrastructure systems have focused on keeping adversaries out of the system. As the internet of things (IoT) extends into millions of homes, with tens or hundreds of devices each, the threat landscape is complicated. IoT devices have unknown access capabilities with unknown reach into other systems. This paper presents ongoing work on how techniques in sensor verification and cyber-physical modeling and analysis on bulk power systems can be applied to identify malevolent IoT devices and secure smart and connected communities against the most impactful threats.

KW - Cyber physical systems

KW - Power system security

KW - Security metrics

KW - Situational awareness

KW - Smart grids

KW - Wireless sensor networks

UR - https://www.scopus.com/pages/publications/85048985969

U2 - 10.1109/GreenTech.2018.00038

DO - 10.1109/GreenTech.2018.00038

M3 - Conference contribution

AN - SCOPUS:85048985969

T3 - IEEE Green Technologies Conference

SP - 168

EP - 171

BT - Proceedings - 2018 IEEE Annual Green Technologies Conference, GreenTech 2018

PB - IEEE Computer Society

T2 - 2018 IEEE Annual Green Technologies Conference, GreenTech 2018

Y2 - 4 April 2018 through 6 April 2018

ER -

Toward a sensor trustworthiness measure for grid-connected IoT-enabled smart cities

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this