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A control‐switching approach for cyberattack detection in process systems with minimal false alarms

AIChE journal, 2022-12, Vol.68 (12), p.n/a

2022

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Detecting False Data Injection Attacks in Smart Grids: A Semi-Supervised Deep Learning Approach

IEEE transactions on smart grid, 2021-01, Vol.12 (1), p.623-634

2021

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Mitigating Concurrent False Data Injection Attacks in Cooperative DC Microgrids

IEEE transactions on power electronics, 2021-08, Vol.36 (8), p.9637-9647

2021

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Flexible Machine Learning-Based Cyberattack Detection Using Spatiotemporal Patterns for Distribution Systems

IEEE transactions on smart grid, 2020-03, Vol.11 (2), p.1805-1808

2020

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Cybersecurity in Power Electronics Using Minimal Data - A Physics-Informed Spline Learning Approach

IEEE transactions on power electronics, 2022-11, Vol.37 (11), p.12938-12943

2022

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Memory-Based Event-Triggering H∞ Load Frequency Control for Power Systems Under Deception Attacks

IEEE transactions on cybernetics, 2020-11, Vol.50 (11), p.4610-4618

2020

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DeepAMD: Detection and identification of Android malware using high-efficient Deep Artificial Neural Network

Future generation computer systems, 2021-02, Vol.115, p.844-856

2021

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DIDDOS: An approach for detection and identification of Distributed Denial of Service (DDoS) cyberattacks using Gated Recurrent Units (GRU)

Future generation computer systems, 2021-05, Vol.118, p.453-466

2021

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Examining the factors that impact the severity of cyberattacks on critical infrastructures

Computers & security, 2024-08, p.104074, Article 104074

2024

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A Deep Learning-Based Cyberattack Detection System for Transmission Protective Relays

IEEE transactions on smart grid, 2021-05, Vol.12 (3), p.2554-2565

2021

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A Novel Collusion Combination Cyberattack Strategy Against Integrated Energy System

IEEE transactions on industrial informatics, 2024-07, p.1-15

2024

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Man-in-the-middle-attack: Understanding in simple words

International journal of data and network science (Print), 2019, Vol.3 (2), p.77-92

2019

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DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber-Physical Systems

IEEE transactions on industrial informatics, 2021-08, Vol.17 (8), p.5615-5624

2021

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Integrated Security Information and Event Management (SIEM) with Intrusion Detection System (IDS) for Live Analysis based on Machine Learning

Procedia computer science, 2023, Vol.217, p.1406-1415

2023

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The burden of cyberattacks on blood management and conservation efforts

Transfusion (Philadelphia, Pa.), 2022-05, Vol.62 (5), p.1149-1151

2022

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Instrumenting OpenCTI with a Capability for Attack Attribution Support

Forensic sciences (Basel, Switzerland), 2024-03, Vol.4 (1), p.12-23

2024

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Comprehensive survey and taxonomies of false data injection attacks in smart grids: attack models, targets, and impacts

Renewable & sustainable energy reviews, 2022-07, Vol.163, p.112423, Article 112423

2022

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Robust fault recognition and correction scheme for induction motors using an effective IoT with deep learning approach

Measurement : journal of the International Measurement Confederation, 2023-02, Vol.207, p.112398, Article 112398

2023

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Fuzzy Adaptive Event-Triggered Secure Control for Stochastic Nonlinear High-Order MASs Subject to DoS Attacks and Actuator Faults

IEEE transactions on fuzzy systems, 2021-12, Vol.29 (12), p.3812-3821

2021

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Detectability‐based controller design screening for processes under multiplicative cyberattacks

AIChE journal, 2022-01, Vol.68 (1), p.n/a

2022

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Cyberattack and Machine-Induced Fault Detection and Isolation Methodologies for Cyber-Physical Systems

IEEE transactions on control systems technology, 2024-03, Vol.32 (2), p.502-517

2024

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An Online Detection Framework for Cyber Attacks on Automatic Generation Control

IEEE transactions on power systems, 2018-11, Vol.33 (6), p.6816-6827

2018

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Distributed Multiclass Cyberattack Detection using Golden Jackal Optimization with Deep Learning Model for Securing IoT Networks

IEEE access, 2024-08, p.1-1

2024

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Multilayer Resilience Paradigm Against Cyber Attacks in DC Microgrids

IEEE transactions on power electronics, 2021-03, Vol.36 (3), p.2522-2532

2021

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A Stealth Cyber-Attack Detection Strategy for DC Microgrids

IEEE transactions on power electronics, 2019-08, Vol.34 (8), p.8162-8174

2019

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A control‐switching approach for cyberattack detection in process systems with minimal false alarms

Detecting False Data Injection Attacks in Smart Grids: A Semi-Supervised Deep Learning Approach

Mitigating Concurrent False Data Injection Attacks in Cooperative DC Microgrids

Flexible Machine Learning-Based Cyberattack Detection Using Spatiotemporal Patterns for Distribution Systems

Cybersecurity in Power Electronics Using Minimal Data - A Physics-Informed Spline Learning Approach

Memory-Based Event-Triggering H∞ Load Frequency Control for Power Systems Under Deception Attacks

DeepAMD: Detection and identification of Android malware using high-efficient Deep Artificial Neural Network

DIDDOS: An approach for detection and identification of Distributed Denial of Service (DDoS) cyberattacks using Gated Recurrent Units (GRU)

Examining the factors that impact the severity of cyberattacks on critical infrastructures

A Deep Learning-Based Cyberattack Detection System for Transmission Protective Relays

A Novel Collusion Combination Cyberattack Strategy Against Integrated Energy System

Man-in-the-middle-attack: Understanding in simple words

DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber-Physical Systems

Integrated Security Information and Event Management (SIEM) with Intrusion Detection System (IDS) for Live Analysis based on Machine Learning

The burden of cyberattacks on blood management and conservation efforts

Instrumenting OpenCTI with a Capability for Attack Attribution Support

Comprehensive survey and taxonomies of false data injection attacks in smart grids: attack models, targets, and impacts

Robust fault recognition and correction scheme for induction motors using an effective IoT with deep learning approach

Fuzzy Adaptive Event-Triggered Secure Control for Stochastic Nonlinear High-Order MASs Subject to DoS Attacks and Actuator Faults

Detectability‐based controller design screening for processes under multiplicative cyberattacks

Cyberattack and Machine-Induced Fault Detection and Isolation Methodologies for Cyber-Physical Systems

An Online Detection Framework for Cyber Attacks on Automatic Generation Control

Distributed Multiclass Cyberattack Detection using Golden Jackal Optimization with Deep Learning Model for Securing IoT Networks

Multilayer Resilience Paradigm Against Cyber Attacks in DC Microgrids

A Stealth Cyber-Attack Detection Strategy for DC Microgrids

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