TY - JOUR
T1 - Zero Trust-Driven Collaborative Intrusion Detection in Internet of Things
T2 - A Continuous Trust Assessment Approach
AU - Wang, Xinxin
AU - Yuan, Qingjun
AU - Wang, Yongjuan
AU - Teng, Jihong
AU - Tao, Jing
AU - Shen, Meng
N1 - Publisher Copyright:
© 1997-2012 IEEE.
PY - 2025
Y1 - 2025
N2 - This study presents a zero trust-driven collaborative intrusion detection architecture for Internet of Things (IoT) cloud–edge–end architectures. By integrating feature-based and anomaly-driven detection with dynamic trust management, the system dynamically verifies entities, mitigates internal and external threats, and ensures reliability in IoT environments through adaptive trust evaluation and distributed threat correlation.
AB - This study presents a zero trust-driven collaborative intrusion detection architecture for Internet of Things (IoT) cloud–edge–end architectures. By integrating feature-based and anomaly-driven detection with dynamic trust management, the system dynamically verifies entities, mitigates internal and external threats, and ensures reliability in IoT environments through adaptive trust evaluation and distributed threat correlation.
UR - https://www.scopus.com/pages/publications/105017050718
U2 - 10.1109/MIC.2025.3610857
DO - 10.1109/MIC.2025.3610857
M3 - Article
AN - SCOPUS:105017050718
SN - 1089-7801
VL - 29
SP - 37
EP - 47
JO - IEEE Internet Computing
JF - IEEE Internet Computing
IS - 4
ER -