Cargando…

Resilient Adaptive Event-Triggered Load Frequency Control of Network-Based Power Systems against Deception Attacks

This paper investigates the problem of networked load frequency control (LFC) of power systems (PSs) against deception attacks. To lighten the load of the communication network, a new adaptive event-triggered scheme (ETS) is developed on the premise of maintaining a certain control performance of LF...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Xiao, Yang, Fan, Sun, Xiang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588060/ https://www.ncbi.nlm.nih.gov/pubmed/34770354 http://dx.doi.org/10.3390/s21217047

Ejemplares similares

Adaptive Event-Triggered Synchronization of Uncertain Fractional Order Neural Networks with Double Deception Attacks and Time-Varying Delay
por: Shen, Zhuan, et al.
Publicado: (2021)

Simultaneous Event-Triggered Fault Detection and Estimation for Stochastic Systems Subject to Deception Attacks
por: Li, Yunji, et al.
Publicado: (2018)

Adaptive Resilient Neural Control of Uncertain Time-Delay Nonlinear CPSs with Full-State Constraints under Deception Attacks
por: Chen, Zhihao, et al.
Publicado: (2023)

Maximizing Network Resilience against Malicious Attacks
por: Li, Wenguo, et al.
Publicado: (2019)

Attack Resilience of the Evolving Scientific Collaboration Network
por: Liu, Xiao Fan, et al.
Publicado: (2011)

Covariance-Based Estimation for Clustered Sensor Networks Subject to Random Deception Attacks
por: Caballero-Águila, Raquel, et al.
Publicado: (2019)

Containerized cloud-based honeypot deception for tracking attackers
por: Priya, V. S. Devi, et al.
Publicado: (2023)

Deceptive Tricks in Artificial Intelligence: Adversarial Attacks in Ophthalmology
por: Zbrzezny, Agnieszka M., et al.
Publicado: (2023)

Distributed Robust Filtering for Wireless Sensor Networks with Markov Switching Topologies and Deception Attacks
por: Zhu, Fengzeng, et al.
Publicado: (2020)

Event-Triggered Robust State Estimation for Nonlinear Networked Systems with Measurement Delays against DoS Attacks
por: Wang, Min, et al.
Publicado: (2023)

Exploring time- and frequency- dependent functional connectivity and brain networks during deception with single-trial event-related potentials
por: Gao, Jun-feng, et al.
Publicado: (2016)

Detecting deception via eyeblink frequency modulation
por: Perelman, Brandon S.
Publicado: (2014)

A Two-Phase Distributed Filtering Algorithm for Networked Uncertain Systems with Fading Measurements under Deception Attacks
por: Caballero-Águila, Raquel, et al.
Publicado: (2020)

Distributed Optimal and Self-Tuning Filters Based on Compressed Data for Networked Stochastic Uncertain Systems with Deception Attacks
por: Ma, Yimin, et al.
Publicado: (2022)

Higher Self-Control, Less Deception: The Effect of Self-Control on Deception Behaviors
por: Fan, Wei, et al.
Publicado: (2020)

A Compact and Low Power RO PUF with High Resilience to the EM Side-Channel Attack and the SVM Modelling Attack of Wireless Sensor Networks
por: Cao, Yuan, et al.
Publicado: (2018)

Building Damage-Resilient Dominating Sets in Complex Networks against Random and Targeted Attacks
por: Molnár, F., et al.
Publicado: (2015)

Observer-Based Event-Triggered Predictive Control for Networked Control Systems under DoS Attacks
por: Lu, Weifan, et al.
Publicado: (2020)

Deception
Publicado: (1871)

Self-Deception Reduces Cognitive Load: The Role of Involuntary Conscious Memory Impairment
por: Jian, Zengdan, et al.
Publicado: (2019)

Two Compensation Strategies for Optimal Estimation in Sensor Networks with Random Matrices, Time-Correlated Noises, Deception Attacks and Packet Losses
por: Caballero-Águila, Raquel, et al.
Publicado: (2022)

Quasi-Consensus of Time-Varying Multi-Agent Systems with External Inputs under Deception Attacks
por: Zeng, Zixian, et al.
Publicado: (2022)

Manipulation and Malicious Personalization: Exploring the Self-Disclosure Biases Exploited by Deceptive Attackers on Social Media
por: Aïmeur, Esma, et al.
Publicado: (2019)

Frequency of concealment, fabrication and falsification of study data by deceptive subjects
por: Devine, Eric G., et al.
Publicado: (2021)

Suppression Attack Against Multicast Protocol in Low Power and Lossy Networks: Analysis and Defenses
por: Pu, Cong, et al.
Publicado: (2018)

Social learning for resilient data fusion against data falsification attacks
por: Rosas, Fernando, et al.
Publicado: (2018)

The Genetic Basis of Pollinator Adaptation in a Sexually Deceptive Orchid
por: Xu, Shuqing, et al.
Publicado: (2012)

The evolution of deception
por: Sarkadi, Ştefan, et al.
Publicado: (2021)

The deceptive coloboma
por: Ratra, Dhanashree, et al.
Publicado: (2023)

On the Routing Protocol Influence on the Resilience of Wireless Sensor Networks to Jamming Attacks
por: Del-Valle-Soto, Carolina, et al.
Publicado: (2015)

Making Activity Recognition Robust against Deceptive Behavior
por: Saeb, Sohrab, et al.
Publicado: (2015)

Backdoor Attack on Deep Neural Networks Triggered by Fault Injection Attack on Image Sensor Interface
por: Oyama, Tatsuya, et al.
Publicado: (2023)

On the Feasibility of Load-Changing Attacks in Power Systems During the COVID-19 Pandemic
Publicado: (2020)

Enhancing IoT Network Security: Unveiling the Power of Self-Supervised Learning against DDoS Attacks
por: Almaraz-Rivera, Josue Genaro, et al.
Publicado: (2023)

An adaptive under-frequency optimal control strategy for power system combined pumped storage and under-frequency load shedding
por: Huang, Wentao, et al.
Publicado: (2021)

Cybersecurity in networking: adaptations, investigation, attacks, and countermeasures
por: Wazan, Ahmad Samer, et al.
Publicado: (2023)

Neural correlates of deception: lying about past events and personal beliefs
por: Ofen, Noa, et al.
Publicado: (2017)

A Look Into the Power of fNIRS Signals by Using the Welch Power Spectral Estimate for Deception Detection
por: Zhang, Jiang, et al.
Publicado: (2021)

Deception and Cognitive Load: Expanding Our Horizon with a Working Memory Model
por: Sporer, Siegfried L.
Publicado: (2016)

Strategic Interviewing to Detect Deception: Cues to Deception across Repeated Interviews
por: Masip, Jaume, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_fuarf577ba7o3sh9va5l5lepnf