Mar 4, 2019 · An extreme learning machine (ELM)-based one-class-one-network (OCON) framework is proposed for detecting the FDI attacks in this paper.

Mar 9, 2019 · To address this issue, an extreme learning machine (ELM)-based One-Class-One-Network (OCON) framework is proposed for detecting the FDI attacks ...

Mar 25, 2019 · : Detection of FDI Attacks in Smart Grid Utilizing ELM-Based OCON Framework. FIGURE 1. IEEE 14 bus system. FIGURE 2. The structure of OCON ...

Feb 3, 2023 · In this framework, the subnetwork of the state identification layer in OCON uses the ELM algorithm to accurately classify false data and normal ...

Sep 2, 2022 · A FDIA detection method based on secure federated deep learning is proposed in this paper by combining Transformer, federated learning and Paillier ...

Feb 3, 2023 · In order to detect and classify false data from the measurement data, in this paper, we report the model establishment and estimation of error ...

An intensive summary of several detection algorithms for false data injection attacks by categorizing them and elaborating on the pros and cons of each ...

Jul 20, 2022 · In this paper, we provide an innovative auto-encoder-based technique for FDI attack detection (AEs). use of the temporal and spatial correlation ...

Detection of false data injection attacks in smart grid utilizing ELM-based. OCON framework. ... Detecting false data injection attacks in ac state estimation.

A real-time detection scheme against false data injection attack in smart grid networks that is able to tackle the unknown parameters with low complexity ...