TY - JOUR
T1 - Reliability Engineering in a Time of Rapidly Converging Technologies
AU - Shieh, Shiuhpyng Winston
AU - Voas, Jeff
AU - Laplante, Phil
AU - Rupe, Jason
AU - Hansen, Christian
AU - Wu, Yu Sung
AU - Chen, Yi Ting
AU - Li, Chi Yu
AU - Wu, Kai Chiang
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2024/3/1
Y1 - 2024/3/1
N2 - The convergence of technologies is happening across various aspects, such as communication, computing, medicine, and transportation. The smartphone is a perfect example of convergence, packing features, such as a camera, GPS, artificial intelligence, and Internet connectivity into one sleek device. Autonomous driving is another good example. In a time of rapidly converging technologies, reliability engineering must take into account the potential for cyber threats, the need for cyber trust, the importance of cyber security, and the criticality of cyber resilience. In this way, reliability engineers can ensure the confidentiality, integrity, and availability of computer systems and networks in the face of evolving threats and changing technologies. In this article, we introduce the challenges and current progress of reliability engineering in emerging technologies, including practices and applications of cyber trust and security, AI-empowered autonomous driving systems, modern mobile networks, blockchains and distributed ledger technologies, prognostic and health management, integrated circuit and hardware, and enterprise cybersecurity and threat hunting.
AB - The convergence of technologies is happening across various aspects, such as communication, computing, medicine, and transportation. The smartphone is a perfect example of convergence, packing features, such as a camera, GPS, artificial intelligence, and Internet connectivity into one sleek device. Autonomous driving is another good example. In a time of rapidly converging technologies, reliability engineering must take into account the potential for cyber threats, the need for cyber trust, the importance of cyber security, and the criticality of cyber resilience. In this way, reliability engineers can ensure the confidentiality, integrity, and availability of computer systems and networks in the face of evolving threats and changing technologies. In this article, we introduce the challenges and current progress of reliability engineering in emerging technologies, including practices and applications of cyber trust and security, AI-empowered autonomous driving systems, modern mobile networks, blockchains and distributed ledger technologies, prognostic and health management, integrated circuit and hardware, and enterprise cybersecurity and threat hunting.
KW - Artificial intelligence (AI)
KW - autonomous driving
KW - blockchain
KW - cyber resilience
KW - cyber security
KW - cyber threats
KW - deep learning
KW - distributed ledger technology (DLT)
KW - enterprise cybersecurity
KW - prognostics and health management (PHM)
KW - threat hunting
KW - trusted computing
UR - http://www.scopus.com/inward/record.url?scp=85187241791&partnerID=8YFLogxK
U2 - 10.1109/TR.2024.3355905
DO - 10.1109/TR.2024.3355905
M3 - Article
AN - SCOPUS:85187241791
SN - 0018-9529
VL - 73
SP - 73
EP - 82
JO - IEEE Transactions on Reliability
JF - IEEE Transactions on Reliability
IS - 1
ER -