TY - GEN
T1 - Data Protection and Recovery Plan for Securing Home IoT Domain
AU - Rizvi, Syed
AU - Davis, James
AU - Reigert, Shane
AU - Ihnat, Mark
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The proliferation of Internet of Things (IoT) devices in residential settings has exposed individuals to increased vulnerabilities. However, the residential environment often lacks sufficient security measures to effectively address these risks. This research aims to explore methods for securing IoT devices in homes by implementing a proposed risk management framework and utilizing the Business Impact Analysis (BIA) to mitigate potential challenges posed by malicious actors. To demonstrate the practical application of the risk management framework and BIA, a hypothetical yet realistic case study of a home network is created. Subsequently, a comprehensive data recovery plan will be developed. By employing this framework, we can effectively address various aspects of the BIA, leading to the formulation of contingency policies and recommendations that establish a resilient IoT network.
AB - The proliferation of Internet of Things (IoT) devices in residential settings has exposed individuals to increased vulnerabilities. However, the residential environment often lacks sufficient security measures to effectively address these risks. This research aims to explore methods for securing IoT devices in homes by implementing a proposed risk management framework and utilizing the Business Impact Analysis (BIA) to mitigate potential challenges posed by malicious actors. To demonstrate the practical application of the risk management framework and BIA, a hypothetical yet realistic case study of a home network is created. Subsequently, a comprehensive data recovery plan will be developed. By employing this framework, we can effectively address various aspects of the BIA, leading to the formulation of contingency policies and recommendations that establish a resilient IoT network.
UR - http://www.scopus.com/inward/record.url?scp=85199986603&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85199986603&partnerID=8YFLogxK
U2 - 10.1109/CSCI62032.2023.00160
DO - 10.1109/CSCI62032.2023.00160
M3 - Conference contribution
AN - SCOPUS:85199986603
T3 - Proceedings - 2023 International Conference on Computational Science and Computational Intelligence, CSCI 2023
SP - 964
EP - 970
BT - Proceedings - 2023 International Conference on Computational Science and Computational Intelligence, CSCI 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Computational Science and Computational Intelligence, CSCI 2023
Y2 - 13 December 2023 through 15 December 2023
ER -