Title: Intelligent signal processing and fuzzy system identification: research on communication security and fault detection strategies

Authors: Lei Wang

Addresses: Chuanjing Education Park of Tongren City, Guizhou Health Vocational College, China

Abstract: Automation, reliability, and clever control with low delay are all important parts of manufacturing and industry systems. With the help of the industrial internet of things (IIoT), industrial systems may get a chance when it comes to safety, efficiency, and production. There is a pressing need to address hardware issues and malfunctions in the context of the internet of things (IoT). Accidents and financial losses may happen, production may suffer, and workers may be called in. Edge computing is used by the DASIF framework to run machine learning models that are very accurate and have low delay. The alert state is a first-stage counter measure meant to make contact inside the network more reliable. Multiple-path transmission and data backup are used together to make this possible. Both a replica of the IIoT network and a real-world petroleum information were used to figure out how well DASIF worked.

Keywords: industrial internet of things; IIoT; machine learning; edge computing; internet of things; IoT.

DOI: 10.1504/IJESDF.2026.155011

International Journal of Electronic Security and Digital Forensics, 2026 Vol.18 No.4, pp.462 - 476

Received: 12 Feb 2024
Accepted: 09 Apr 2024
Published online: 22 Jul 2026 *

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