A Fast Locational Detection Model for False Data Injection Attack Based on Edge Computing-Reference-Cited by-同舟云学术

A Fast Locational Detection Model for False Data Injection Attack Based on Edge Computing

Published:2022-06-27 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 17th International Conference on Control & Automation (ICCA)
language:
Short-container-title:

Author:

Zhu Jianxin¹,Meng Wenchao¹,Sun Mingyang¹,Yang Jun¹

Affiliation:

1. Zhejiang University,State Key Laboratory of Industrial Control Technology, Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies,Department of Control Science and Engineering,Hangzhou,China,310027

Funder

Nature

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9831427/9831807/09831821.pdf?arnumber=9831821

Reference21 articles.

1. A big data framework for intrusion detection in smart grids using apache spark

2. Real-time detection of false data injection attacks in smart grid: A deep learning-based intelligent mechanism;he;IEEE Transactions on Smart Grid,2017

3. Locational Detection of the False Data Injection Attack in a Smart Grid: A Multilabel Classification Approach

4. Detecting false data injection attacks on dc state estimation;nahrstedt;Preprints of the First Workshop on Secure Control Systems CPSWEEK,2010

5. False Data Injection Attacks Against State Estimation in Multiphase and Unbalanced Smart Distribution Systems

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient HW/SW Co-design of FPGA Accelerator to Detect Anomaly Attacks in Smart Grids;2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE);2024-06-18

2. FLLF: A Fast-Lightweight Location Detection Framework for False Data Injection Attacks in Smart Grids;IEEE Transactions on Smart Grid;2024-01

3. A Novel Data Acquisition Equipment for Distribution Systems Based on FFT Single-peak Interpolation Algorithm;2023 China Automation Congress (CAC);2023-11-17