Work

Trusted measurement technology for Power Internet of Things

Year: 2024

Type: conference-paper

Abstract: This paper explores trusted measurement technologies for Power Internet of Things (IoT) terminals, advocating for a dual-system architecture with a Trusted Platform Control Module (TPCM) at its core. The TPCM systematically evaluates trust measurement to safeguard against vulnerabilities, offering a robust defense mechanism for IoT devices against software threats. The implementation of TPCM ensures secure device operations, pivotal in maintaining the integrity of the Power IoT network. The proposed trust model enhances the accuracy and dependability of trust assessments, promoting a secure and stable Power IoT environment. This contribution is core for the evolution of secure Power IoT ecosystems, addressing the increasing security challenges posed by the expanding network of IoT devices.

Source: International Conference on Communication and Network Security (ICCNS)

DOI: 10.1145/3711618.3711639

Authors: Chaoqun Kang, Keqi Zhu, Yuling Li, Jin Peng, Zhiheng Deng

Institutions: State Grid Corporation of China (China), Beijing University of Technology

Language: English

Topic: Security and Verification in Computing

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4407848044

FWCI:

Cites: 3

Cited by:

Related to: 10