TY - GEN
T1 - Visual Cybersecurity Collaboration and Incident Exchange in Multi-Stakeholder IoT Environments
AU - Zhao, Hanning
AU - Silverajan, Bilhanan
N1 - Funding Information:
The authors acknowledge the S2ERC Appia IoTSpace and the Sea4Value Future Fairway Navigation programs
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
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.
KW - collaboration
KW - Cybersecurity
KW - incident exchange
KW - IoT
KW - visualization
U2 - 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00051
DO - 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00051
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
SP - 85
EP - 92
BT - Proceedings - IEEE Congress on Cybermatics
PB - IEEE
T2 - IEEE Congress on Cybermatics
Y2 - 22 August 2022 through 25 August 2022
ER -