Visual Cybersecurity Collaboration and Incident Exchange in Multi-Stakeholder IoT Environments

Hanning Zhao; Bilhanan Silverajan

doi:10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00051

Visual Cybersecurity Collaboration and Incident Exchange in Multi-Stakeholder IoT Environments

Hanning Zhao, Bilhanan Silverajan

Computing Sciences

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

Abstract

IoT environments in which there are multiple stake-holders, such as industrial IoT, are becoming susceptible to many kinds of cyber threats and attacks. In order to combat this, a strong cybersecurity collaboration among different stake-holders is required. However, the level of current cybersecurity situational awareness is rather low and incident handling in such environments is inefficient. Moreover many solutions are proprietary. To cope with this challenge, we propose visualization platforms tailored to two industrial scenarios for supporting incident exchange among different stakeholders based on open standards. We also analyze various stakeholder roles and the incident exchange workflow among them in an IoT ecosystem. Additionally, we create and evaluate sample incident reports for different kinds of attacks on IoT systems, which are then serialised using standards such as IODEF, JSON and CBOR for incident exchange among the stakeholders. The results demonstrate the applicability and usability of our solutions in industrial IoT ecosystems and environments.

Original language	English
Title of host publication	Proceedings - IEEE Congress on Cybermatics
Subtitle of host publication	2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022
Publisher	IEEE
Pages	85-92
Number of pages	8
ISBN (Electronic)	9781665454179
DOIs	https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00051
Publication status	Published - 2022
Publication type	A4 Article in conference proceedings
Event	IEEE Congress on Cybermatics - Espoo, Finland Duration: 22 Aug 2022 → 25 Aug 2022

Publication series

Name	Proceedings - IEEE Congress on Cybermatics: 2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022

Conference

Conference	IEEE Congress on Cybermatics
Country/Territory	Finland
City	Espoo
Period	22/08/22 → 25/08/22

Funding

The authors acknowledge the S2ERC Appia IoTSpace and the Sea4Value Future Fairway Navigation programs

Keywords

collaboration
Cybersecurity
incident exchange
IoT
visualization

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Renewable Energy, Sustainability and the Environment
Control and Optimization
Communication
Computer Science Applications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00051

Cite this

Zhao, H., & Silverajan, B. (2022). Visual Cybersecurity Collaboration and Incident Exchange in Multi-Stakeholder IoT Environments. In Proceedings - IEEE Congress on Cybermatics: 2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022 (pp. 85-92). (Proceedings - IEEE Congress on Cybermatics: 2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022). IEEE. https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00051

Zhao, Hanning ; Silverajan, Bilhanan. / Visual Cybersecurity Collaboration and Incident Exchange in Multi-Stakeholder IoT Environments. Proceedings - IEEE Congress on Cybermatics: 2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022. IEEE, 2022. pp. 85-92 (Proceedings - IEEE Congress on Cybermatics: 2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022).

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title = "Visual Cybersecurity Collaboration and Incident Exchange in Multi-Stakeholder IoT Environments",

abstract = "IoT environments in which there are multiple stake-holders, such as industrial IoT, are becoming susceptible to many kinds of cyber threats and attacks. In order to combat this, a strong cybersecurity collaboration among different stake-holders is required. However, the level of current cybersecurity situational awareness is rather low and incident handling in such environments is inefficient. Moreover many solutions are proprietary. To cope with this challenge, we propose visualization platforms tailored to two industrial scenarios for supporting incident exchange among different stakeholders based on open standards. We also analyze various stakeholder roles and the incident exchange workflow among them in an IoT ecosystem. Additionally, we create and evaluate sample incident reports for different kinds of attacks on IoT systems, which are then serialised using standards such as IODEF, JSON and CBOR for incident exchange among the stakeholders. The results demonstrate the applicability and usability of our solutions in industrial IoT ecosystems and environments.",

keywords = "collaboration, Cybersecurity, incident exchange, IoT, visualization",

author = "Hanning Zhao and Bilhanan Silverajan",

note = "Funding Information: The authors acknowledge the S2ERC Appia IoTSpace and the Sea4Value Future Fairway Navigation programs Publisher Copyright: {\textcopyright} 2022 IEEE.; IEEE Congress on Cybermatics ; Conference date: 22-08-2022 Through 25-08-2022",

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Zhao, H & Silverajan, B 2022, Visual Cybersecurity Collaboration and Incident Exchange in Multi-Stakeholder IoT Environments. in Proceedings - IEEE Congress on Cybermatics: 2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022. Proceedings - IEEE Congress on Cybermatics: 2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022, IEEE, pp. 85-92, IEEE Congress on Cybermatics, Espoo, Finland, 22/08/22. https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00051

Visual Cybersecurity Collaboration and Incident Exchange in Multi-Stakeholder IoT Environments. / Zhao, Hanning ; Silverajan, Bilhanan.
Proceedings - IEEE Congress on Cybermatics: 2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022. IEEE, 2022. p. 85-92 (Proceedings - IEEE Congress on Cybermatics: 2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022).

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

TY - GEN

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AU - Zhao, Hanning

AU - Silverajan, Bilhanan

PY - 2022

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N2 - IoT environments in which there are multiple stake-holders, such as industrial IoT, are becoming susceptible to many kinds of cyber threats and attacks. In order to combat this, a strong cybersecurity collaboration among different stake-holders is required. However, the level of current cybersecurity situational awareness is rather low and incident handling in such environments is inefficient. Moreover many solutions are proprietary. To cope with this challenge, we propose visualization platforms tailored to two industrial scenarios for supporting incident exchange among different stakeholders based on open standards. We also analyze various stakeholder roles and the incident exchange workflow among them in an IoT ecosystem. Additionally, we create and evaluate sample incident reports for different kinds of attacks on IoT systems, which are then serialised using standards such as IODEF, JSON and CBOR for incident exchange among the stakeholders. The results demonstrate the applicability and usability of our solutions in industrial IoT ecosystems and environments.

AB - IoT environments in which there are multiple stake-holders, such as industrial IoT, are becoming susceptible to many kinds of cyber threats and attacks. In order to combat this, a strong cybersecurity collaboration among different stake-holders is required. However, the level of current cybersecurity situational awareness is rather low and incident handling in such environments is inefficient. Moreover many solutions are proprietary. To cope with this challenge, we propose visualization platforms tailored to two industrial scenarios for supporting incident exchange among different stakeholders based on open standards. We also analyze various stakeholder roles and the incident exchange workflow among them in an IoT ecosystem. Additionally, we create and evaluate sample incident reports for different kinds of attacks on IoT systems, which are then serialised using standards such as IODEF, JSON and CBOR for incident exchange among the stakeholders. The results demonstrate the applicability and usability of our solutions in industrial IoT ecosystems and environments.

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M3 - Conference contribution

AN - SCOPUS:85142024852

T3 - Proceedings - IEEE Congress on Cybermatics: 2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022

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BT - Proceedings - IEEE Congress on Cybermatics

PB - IEEE

T2 - IEEE Congress on Cybermatics

Y2 - 22 August 2022 through 25 August 2022

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Zhao H , Silverajan B. Visual Cybersecurity Collaboration and Incident Exchange in Multi-Stakeholder IoT Environments. In Proceedings - IEEE Congress on Cybermatics: 2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022. IEEE. 2022. p. 85-92. (Proceedings - IEEE Congress on Cybermatics: 2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022). doi: 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00051

Visual Cybersecurity Collaboration and Incident Exchange in Multi-Stakeholder IoT Environments

Abstract

Publication series

Conference

Funding

Keywords

Publication forum classification

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this