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Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
A privacy preserving framework for federated learning in smart healthcare systems
W Wang, X Li, X Qiu, X Zhang, V Brusic… - Information Processing & …, 2023 - Elsevier
Federated Learning (FL) is a platform for smart healthcare systems that use wearables and
other Internet of Things enabled devices. However, source inference attacks (SIAs) can infer …
other Internet of Things enabled devices. However, source inference attacks (SIAs) can infer …
A New Generation Cyber-Physical System: A Comprehensive Review from Security Perspective
Cyber-physical systems (CPSs) are essential to the contemporary industrial landscape,
performing a central role in improving productivity, mechanization, and innovation across …
performing a central role in improving productivity, mechanization, and innovation across …
[HTML][HTML] An integrated intrusion detection framework based on subspace clustering and ensemble learning
J Zhu, X Liu - Computers and Electrical Engineering, 2024 - Elsevier
In the rapidly evolving landscape of the Internet of Things (IoT), ensuring robust intrusion
detection is paramount for device and data security. This paper proposes a novel method for …
detection is paramount for device and data security. This paper proposes a novel method for …
Resilient production control using digital twins in the Industrial Internet of Things
Through the development of digital twins, the Industrial Internet of Things (IIoT) has
fundamentally changed how the physical and digital worlds are integrated. The purpose of …
fundamentally changed how the physical and digital worlds are integrated. The purpose of …
Modified aquila optimizer feature selection approach and support vector machine classifier for intrusion detection system
L Abualigah, SH Ahmed, MH Almomani… - Multimedia Tools and …, 2024 - Springer
With the ever-expanding ubiquity of the Internet, wireless networks have permeated every
facet of modern life, escalating concerns surrounding network security for users …
facet of modern life, escalating concerns surrounding network security for users …
An efficient faults and attacks categorization model in IoT-based cyber physical systems using Dilated CNN and BiLSTM with multi-scale dense Attention module
The physical process with the digital computing channel and electronic computing is
integrated by the Cyber-Physical Systems (CPS). The abnormality and failures are the two …
integrated by the Cyber-Physical Systems (CPS). The abnormality and failures are the two …
Advancing perception in artificial intelligence through principles of cognitive science
Although artificial intelligence (AI) has achieved many feats at a rapid pace, there still exist
open problems and fundamental shortcomings related to performance and resource …
open problems and fundamental shortcomings related to performance and resource …
[PDF][PDF] Magnetic-Actuated cyber-physical system for interventional surgery
C Shan, J Zhao, W Zhao, T Zhang, B Du… - Human-centric Computing …, 2022 - hcisj.com
At present, interventional surgery has been successfully applied in the treatment of many
diseases, since due to the significant dosage of ionizing radiation, surgeons and staff are …
diseases, since due to the significant dosage of ionizing radiation, surgeons and staff are …
CEMDQN: Cognitive-inspired episodic memory in deep Q-Networks
Reinforcement learning in the field of artificial intelligence has seen tremendous advances
in recent years, but there are still several limitations standing in the way of its wider practical …
in recent years, but there are still several limitations standing in the way of its wider practical …