TY - JOUR
T1 - Guest Editorial
T2 - Special Section on Emerging Privacy and Security Issues Brought by Artificial Intelligence in Industrial Informatics
AU - Qiu, M.
AU - Dai, H. N.
AU - Sangaiah, A. K.
AU - Liang, K.
AU - Zheng, X.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - Artificial Intelligence (AI) based technologies have deeply changed people's daily lives. There are many AI-based applications used in industrial scenarios such as Internet of Things (IoT), smart grids, and edge computing. Although bringing AI into industrial scenarios could improve the performance in many aspects, new security and privacy issues are also introduced consequently. Subsequently, machine learning technologies require a training process which introduces the protection problems in the training data and algorithms. As many machine learning and deep learning models are vulnerable against well-designed adversarial input samples, outsourcing data and algorithms for training will require the integrity of the training data. Also, data privacy of the end users must be protected. On the other hand, traditional solutions for industrial system security could also be enhanced by these AI schemes. The papers in this special section focus on emerging privacy and security issues brought by Artificial Intelligence in industrial informatics.
AB - Artificial Intelligence (AI) based technologies have deeply changed people's daily lives. There are many AI-based applications used in industrial scenarios such as Internet of Things (IoT), smart grids, and edge computing. Although bringing AI into industrial scenarios could improve the performance in many aspects, new security and privacy issues are also introduced consequently. Subsequently, machine learning technologies require a training process which introduces the protection problems in the training data and algorithms. As many machine learning and deep learning models are vulnerable against well-designed adversarial input samples, outsourcing data and algorithms for training will require the integrity of the training data. Also, data privacy of the end users must be protected. On the other hand, traditional solutions for industrial system security could also be enhanced by these AI schemes. The papers in this special section focus on emerging privacy and security issues brought by Artificial Intelligence in industrial informatics.
UR - http://www.scopus.com/inward/record.url?scp=85078400685&partnerID=8YFLogxK
U2 - 10.1109/TII.2019.2953884
DO - 10.1109/TII.2019.2953884
M3 - Editorial
AN - SCOPUS:85078400685
SN - 1551-3203
VL - 16
SP - 2029
EP - 2030
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 3
ER -