TY - JOUR
T1 - Industrial Internet of Things Ecosystems Security and Digital Forensics
T2 - Achievements, Open Challenges, and Future Directions
AU - Kebande, Victor R.
AU - Awad, Ali Ismail
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2024/1/12
Y1 - 2024/1/12
N2 - The Industrial Internet of Things (IIoT) has been positioned as a key pillar of the Industry 4.0 revolution, which is projected to continue accelerating and realizing digital transformations. The IIoT is becoming indispensable, providing the means through which modern communication is conducted across industries and offering improved efficiency, scalability, and robustness. However, the structural and dynamic complexity introduced by the continuous integration of the IIoT has widened the scope for cyber-threats, as the processes and data generated by this integration are susceptible and vulnerable to attacks. This article presents an in-depth analysis of the state-of-the-art in the IIoT ecosystem from security and digital forensics perspectives. The dimensions of this study are twofold: first, we present an overview of the cutting-edge security of IIoT ecosystems, and second, we survey the literature on digital forensics. The key achievements, open challenges, and future directions are identified in each case. The challenges and directions for future studies that we identify will provide important guidance for cybersecurity researchers and practitioners.
AB - The Industrial Internet of Things (IIoT) has been positioned as a key pillar of the Industry 4.0 revolution, which is projected to continue accelerating and realizing digital transformations. The IIoT is becoming indispensable, providing the means through which modern communication is conducted across industries and offering improved efficiency, scalability, and robustness. However, the structural and dynamic complexity introduced by the continuous integration of the IIoT has widened the scope for cyber-threats, as the processes and data generated by this integration are susceptible and vulnerable to attacks. This article presents an in-depth analysis of the state-of-the-art in the IIoT ecosystem from security and digital forensics perspectives. The dimensions of this study are twofold: first, we present an overview of the cutting-edge security of IIoT ecosystems, and second, we survey the literature on digital forensics. The key achievements, open challenges, and future directions are identified in each case. The challenges and directions for future studies that we identify will provide important guidance for cybersecurity researchers and practitioners.
KW - digital forensics
KW - ecosystem
KW - Industrial internet of things (IIoT)
KW - security
UR - http://www.scopus.com/inward/record.url?scp=85184143595&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85184143595&partnerID=8YFLogxK
U2 - 10.1145/3635030
DO - 10.1145/3635030
M3 - Article
AN - SCOPUS:85184143595
SN - 0360-0300
VL - 56
JO - ACM Computing Surveys
JF - ACM Computing Surveys
IS - 5
M1 - 131
ER -