[PDF][PDF] Detecting false data injection attacks in industrial Internet of Things using an optimized bidirectional gated recurrent unit-swarm optimization algorithm model

NS Divya, R Vatambeti - Acadlore Transactions on AI and …, 2023 - library.acadlore.com
The rapid adoption of the Industrial Internet of Things (IIoT) paradigm has left systems
vulnerable due to insufficient security measures. False data injection attacks (FDIAs) present …

A machine-learning-based technique for false data injection attacks detection in industrial IoT

MMN Aboelwafa, KG Seddik… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The accelerated move toward the adoption of the Industrial Internet-of-Things (IIoT)
paradigm has resulted in numerous shortcomings as far as security is concerned. One of the …

Securing Cyber-Physical Industrial Systems Against False Data Injection Attacks: A Hybrid Detection Approach

K Guibene, N Messai, M Ayaida - 2023 Fifth International …, 2023 - ieeexplore.ieee.org
Cyber-physical industrial systems are internet-enabled physical entities embedded with
computers and control components consisting of sensors and actuators. However …

Hybrid machine learning based false data injection attack detection and mitigation model for waste water treatment plant

A Parvathy, GL Kasyap, DV Abhinav… - 2022 International …, 2022 - ieeexplore.ieee.org
The industries are deploying Internet of Things (IoT) for complex applications in their
respective domains which employ different sensors to collect data from different plants and …

Detection of False Data Injection Attack using Machine Learning approach

SNFNB Mustaffa - Mesopotamian journal of …, 2022 - journals.mesopotamian.press
Abstract The" False Data Injection"(FDI) attack is one of the significant security risks that the
deep neural Network is susceptible to. The purpose of the FDI attacks is to deceive industrial …

Online parallel attack detection method for industrial control based on multi-bandpass filter

Y Chen, S Liu, Z Wang, D Wu, Y Li… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Unlike conventional IT systems, industrial control systems (ICSs) requires tailored attack
detection methods due to its unique communication protocols. Existing attack detection …

[HTML][HTML] An ensemble deep learning model for cyber threat hunting in industrial internet of things

A Yazdinejad, M Kazemi, RM Parizi… - Digital Communications …, 2023 - Elsevier
By the emergence of the fourth industrial revolution, interconnected devices and sensors
generate large-scale, dynamic, and inharmonious data in Industrial Internet of Things (IIoT) …

DAMGAT Based Interpretable Detection of False Data Injection Attacks in Smart Grids

X Su, C Deng, J Yang, F Li, C Li, Y Fu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
False data injection attacks (FDIAs) significantly disrupt the secure operation of smart grids
by manipulating the measured values collected by intelligent instruments. Existing studies …

False data injection attack detection based on wavelet packet decomposition and random forest in smart grid

Z Chen, S Yuan, L Wu, Z Guan… - … 19th Int Conf on Smart City …, 2021 - ieeexplore.ieee.org
As one of the critical infrastructures, the safety and reliability of the smart grid are directly
associated with the development and stability of society. However, studies have shown that …

Experience-driven attack design and federated-learning-based intrusion detection in industry 4.0

B Tahir, A Jolfaei, M Tariq - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
The advent of Industry 4.0 facilitates the Int-ernet-of-Things-based-transactive energy system
(IoTES), which enables innovative services with numerous independent distributed systems …