On the public citation graph

Survey on Smart Grids Cybersecurity - A Networking Perspective

https://doi.org/10.2139/ssrn.5736364
0 signed · 149 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/2050-7038.13232openalex-snapshot
Self‐healing strategy to enhance microgrid resilience during faults occurrence
inferredcites →https://doi.org/10.1007/978-3-030-58295-1_4openalex-snapshot
A Systematic Literature Review of Information Sources for Threat Modeling in the Power Systems Domain
inferredcites →https://doi.org/10.1007/978-3-031-20360-2_11openalex-snapshot
Semi-supervised Deep Learning-Driven Anomaly Detection Schemes for Cyber-Attack Detection in Smart Grids
inferredcites →https://doi.org/10.1007/978-981-13-1768-2_1openalex-snapshot
Introduction to Smart Grid Architecture
inferredcites →https://doi.org/10.1007/s00202-021-01278-6openalex-snapshot
Deep learning-based multilabel classification for locational detection of false data injection attack in smart grids
inferredcites →https://doi.org/10.1007/s00202-021-01380-9openalex-snapshot
Intelligent energy cyber physical systems (iECPS) for reliable smart grid against energy theft and false data injection
inferredcites →https://doi.org/10.1007/s00500-021-05893-0openalex-snapshot
Machine learning and deep learning methods for intrusion detection systems: recent developments and challenges
inferredcites →https://doi.org/10.1007/s00521-019-04453-wopenalex-snapshot
A whale optimization algorithm-trained artificial neural network for smart grid cyber intrusion detection
inferredcites →https://doi.org/10.1007/s00521-021-06106-3openalex-snapshot
Deep-learning-based data-manipulation attack resilient supervisory backup protection of transmission lines
inferredcites →https://doi.org/10.1007/s12559-020-09764-yopenalex-snapshot
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
inferredcites →https://doi.org/10.1016/j.aej.2022.12.041openalex-snapshot
A user-friendly attribute-based data access control scheme for smart grids
inferredcites →https://doi.org/10.1016/j.apenergy.2011.02.025openalex-snapshot
Measuring economy-wide energy efficiency performance: A parametric frontier approach
inferredcites →https://doi.org/10.1016/j.comnet.2019.107094openalex-snapshot
Cyber-security on smart grid: Threats and potential solutions
inferredcites →https://doi.org/10.1016/j.compeleceng.2023.108638openalex-snapshot
False data injection attack in smart grid cyber physical system: Issues, challenges, and future direction
inferredcites →https://doi.org/10.1016/j.cose.2020.101899openalex-snapshot
Detecting bi-level false data injection attack based on time series analysis method in smart grid
inferredcites →https://doi.org/10.1016/j.cose.2021.102528openalex-snapshot
Modelling smart grid IT-OT dependencies for DDoS impact propagation
inferredcites →https://doi.org/10.1016/j.cose.2022.102950openalex-snapshot
Threat Modeling of Cyber-Physical Systems - A Case Study of a Microgrid System
inferredcites →https://doi.org/10.1016/j.cosrev.2020.100341openalex-snapshot
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
inferredcites →https://doi.org/10.1016/j.egyr.2024.05.051openalex-snapshot
Smart grids: A comprehensive survey of challenges, industry applications, and future trends
inferredcites →https://doi.org/10.1016/j.engappai.2023.107368openalex-snapshot
Enhancing smart grid resilience with deep learning anomaly detection prior to state estimation
inferredcites →https://doi.org/10.1016/j.epsr.2015.12.006openalex-snapshot
Anomaly detection in electric network database of smart grid: Graph matching approach
inferredcites →https://doi.org/10.1016/j.eswa.2024.124607openalex-snapshot
Markov game based on reinforcement learning solution against cyber–physical attacks in smart grid
inferredcites →https://doi.org/10.1016/j.ijcip.2022.100508openalex-snapshot
FDI attack detection using extra trees algorithm and deep learning algorithm-autoencoder in smart grid
inferredcites →https://doi.org/10.1016/j.ijcip.2022.100547openalex-snapshot
Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects
inferredcites →https://doi.org/10.1016/j.ijepes.2018.03.025openalex-snapshot
An anomaly detection framework for identifying energy theft and defective meters in smart grids
inferredcites →https://doi.org/10.1016/j.ijepes.2022.108815openalex-snapshot
Attention-aware deep reinforcement learning for detecting false data injection attacks in smart grids
inferredcites →https://doi.org/10.1016/j.is.2014.12.002openalex-snapshot
Integrated smart grid systems security threat model
inferredcites →https://doi.org/10.1016/j.jisa.2019.102419openalex-snapshot
Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study
inferredcites →https://doi.org/10.1016/j.jksuci.2019.02.003openalex-snapshot
Clustering based semi-supervised machine learning for DDoS attack classification
inferredcites →https://doi.org/10.1016/j.jss.2014.05.075openalex-snapshot
Empirical evaluation of a privacy-focused threat modeling methodology
inferredcites →https://doi.org/10.1016/j.patrec.2020.07.020openalex-snapshot
Blockchain-based anomaly detection of electricity consumption in smart grids
inferredcites →https://doi.org/10.1016/j.procs.2015.05.049openalex-snapshot
Resiliency of Smart Power Meters to Common Security Attacks
inferredcites →https://doi.org/10.1016/j.rser.2015.11.050openalex-snapshot
Big data driven smart energy management: From big data to big insights
inferredcites →https://doi.org/10.1016/j.segan.2023.101167openalex-snapshot
Detecting and classifying man-in-the-middle attacks in the private area network of smart grids
inferredcites →https://doi.org/10.1016/j.seta.2023.103414openalex-snapshot
An efficient and privacy-preserving blockchain-based secure data aggregation in smart grids
inferredcites →https://doi.org/10.1016/j.solener.2023.111874openalex-snapshot
A novel optimal management method for smart grids incorporating cloud-fog layer and honeybee mating optimization algorithm
inferredcites →https://doi.org/10.1049/gtd2.12602openalex-snapshot
Quantum computing for smart grid applications
inferredcites →https://doi.org/10.1049/iet-cps.2016.0019openalex-snapshot
Cyber‐physical attacks and defences in the smart grid: a survey
inferredcites →https://doi.org/10.1049/iet-cps.2019.0103openalex-snapshot
Cyber attacks in smart grid – dynamic impacts, analyses and recommendations
inferredcites →https://doi.org/10.1049/iet-gtd.2016.1783openalex-snapshot
Approach for self‐healing resilient operation of active distribution network with microgrid
inferredcites →https://doi.org/10.1049/iet-gtd.2017.0294openalex-snapshot
Design of robust profitable false data injection attacks in multi‐settlement electricity markets
inferredcites →https://doi.org/10.1109/access.2017.2731780openalex-snapshot
Resilient Design of Networked Control Systems Under Time Delay Switch Attacks, Application in Smart Grid
inferredcites →https://doi.org/10.1109/access.2019.2920326openalex-snapshot
A Deep and Scalable Unsupervised Machine Learning System for Cyber-Attack Detection in Large-Scale Smart Grids
inferredcites →https://doi.org/10.1109/access.2019.2920488openalex-snapshot
Internet of Things Based Smart Grids Supported by Intelligent Edge Computing
inferredcites →https://doi.org/10.1109/access.2019.2926441openalex-snapshot
A Survey of Security in SCADA Networks: Current Issues and Future Challenges
inferredcites →https://doi.org/10.1109/access.2019.2933020openalex-snapshot
Defending Against Data Integrity Attacks in Smart Grid: A Deep Reinforcement Learning-Based Approach
inferredcites →https://doi.org/10.1109/access.2019.2933304openalex-snapshot
Learning Multilevel Auto-Encoders for DDoS Attack Detection in Smart Grid Network
inferredcites →https://doi.org/10.1109/access.2020.2995849openalex-snapshot
A Systematic Review of Load Balancing Techniques in Software-Defined Networking
inferredcites →https://doi.org/10.1109/access.2020.3047341openalex-snapshot
Intrusion Detection Against MMS-Based Measurement Attacks at Digital Substations
inferredcites →https://doi.org/10.1109/access.2021.3071269openalex-snapshot
Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects
inferredcites →https://doi.org/10.1109/access.2021.3080433openalex-snapshot
Big Data Management in Smart Grids: Technologies and Challenges
inferredcites →https://doi.org/10.1109/access.2021.3124557openalex-snapshot
An Efficient Energy Management in Smart Grid Considering Demand Response Program and Renewable Energy Sources
inferredcites →https://doi.org/10.1109/access.2022.3151248openalex-snapshot
Machine Learning and Deep Learning Approaches for CyberSecurity: A Review
inferredcites →https://doi.org/10.1109/access.2023.3237554openalex-snapshot
Distributed Anomaly Detection in Smart Grids: A Federated Learning-Based Approach
inferredcites →https://doi.org/10.1109/access.2023.3286536openalex-snapshot
GITM: A GINI Index-Based Trust Mechanism to Mitigate and Isolate Sybil Attack in RPL-Enabled Smart Grid Advanced Metering Infrastructures
inferredcites →https://doi.org/10.1109/ancs.2017.23openalex-snapshot
On the Latency Benefits of Edge NFV
inferredcites →https://doi.org/10.1109/comst.2014.2320093openalex-snapshot
Survey in Smart Grid and Smart Home Security: Issues, Challenges and Countermeasures
inferredcites →https://doi.org/10.1109/comst.2019.2899354openalex-snapshot
Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues
inferredcites →https://doi.org/10.1109/comst.2019.2963791openalex-snapshot
Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense
inferredcites →https://doi.org/10.1109/comst.2023.3264680openalex-snapshot
A Survey on Industrial Control System Digital Forensics: Challenges, Advances and Future Directions
inferredcites →https://doi.org/10.1109/epec52095.2021.9621752openalex-snapshot
Time Series Anomaly Detection for Smart Grids: A Survey
inferredcites →https://doi.org/10.1109/iccnc.2018.8390345openalex-snapshot
Low-Computational Complexity Intrusion Detection System for Jamming Attacks in Smart Grids
inferredcites →https://doi.org/10.1109/iceee55327.2022.9772523openalex-snapshot
Cyberattack Detection in Large-Scale Smart Grids using Chebyshev Graph Convolutional Networks
inferredcites →https://doi.org/10.1109/iciss49785.2020.9316003openalex-snapshot
A review of various challenges in cybersecurity using Artificial Intelligence
inferredcites →https://doi.org/10.1109/icsgea53208.2021.00022openalex-snapshot
Smart grid data security storage strategy based on cloud computing platform
inferredcites →https://doi.org/10.1109/iscaie.2012.6482117openalex-snapshot
A lightweight and secure TFTP protocol for smart environment
inferredcites →https://doi.org/10.1109/jiot.2019.2926365openalex-snapshot
A Supervised Intrusion Detection System for Smart Home IoT Devices
inferredcites →https://doi.org/10.1109/jiot.2020.3030308openalex-snapshot
Designing Blockchain-Based Access Control Protocol in IoT-Enabled Smart-Grid System
inferredcites →https://doi.org/10.1109/jiot.2020.3040358openalex-snapshot
MTD, Where Art Thou? A Systematic Review of Moving Target Defense Techniques for IoT
inferredcites →https://doi.org/10.1109/jiot.2024.3354045openalex-snapshot
The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey
inferredcites →https://doi.org/10.1109/jsac.2019.2952017openalex-snapshot
Model-Based and Data-Driven Detectors for Time Synchronization Attacks Against PMUs
inferredcites →https://doi.org/10.1109/jsyst.2014.2341597openalex-snapshot
Detecting Stealthy False Data Injection Using Machine Learning in Smart Grid
inferredcites →https://doi.org/10.1109/jsyst.2019.2927469openalex-snapshot
Detection of False Data Injection Attacks in Smart Grids Based on Graph Signal Processing
inferredcites →https://doi.org/10.1109/jsyst.2020.3030238openalex-snapshot
Detecting Electricity Theft Cyber-Attacks in AMI Networks Using Deep Vector Embeddings
inferredcites →https://doi.org/10.1109/jsyst.2021.3103272openalex-snapshot
Data-Driven Detection of Electricity Theft Cyberattacks in PV Generation
inferredcites →https://doi.org/10.1109/jsyst.2021.3109082openalex-snapshot
Graph Neural Networks Based Detection of Stealth False Data Injection Attacks in Smart Grids
inferredcites →https://doi.org/10.1109/jsyst.2021.3136683openalex-snapshot
Deep Autoencoder-Based Anomaly Detection of Electricity Theft Cyberattacks in Smart Grids
inferredcites →https://doi.org/10.1109/mcom.001.2400446openalex-snapshot
Programmable Data Planes for Increased Digital Resilience in OT Networks
inferredcites →https://doi.org/10.1109/mcom.2013.6400437openalex-snapshot
Communication security for smart grid distribution networks
inferredcites →https://doi.org/10.1109/melecon53508.2022.9843077openalex-snapshot
Deep Learning for Classification of FDIs on Time-Series Sensor Data in Cyber-Physical Power Systems
inferredcites →https://doi.org/10.1109/mie.2019.2942376openalex-snapshot
Standard Test Systems for Modern Power System Analysis: An Overview
inferredcites →https://doi.org/10.1109/mim.2022.9847197openalex-snapshot
Time Synchronization for Smart Grids Applications: Requirements and Uncertainty Issues
inferredcites →https://doi.org/10.1109/mpe.2016.2637122openalex-snapshot
Achieving a 100% Renewable Grid: Operating Electric Power Systems with Extremely High Levels of Variable Renewable Energy
inferredcites →https://doi.org/10.1109/ojies.2023.3336234openalex-snapshot
Double-Edged Defense: Thwarting Cyber Attacks and Adversarial Machine Learning in IEC 60870-5-104 Smart Grids
inferredcites →https://doi.org/10.1109/rweek.2017.8088642openalex-snapshot
Blockchain for smart grid resilience: Exchanging distributed energy at speed, scale and security
inferredcites →https://doi.org/10.1109/sege49949.2020.9181961openalex-snapshot
The Design of a Novel Smart Home Control System using Smart Grid Based on Edge and Cloud Computing
inferredcites →https://doi.org/10.1109/tcc.2021.3133540openalex-snapshot
Cloud-Edge-End Intelligence for Fault-Tolerant Renewable Energy Accommodation in Smart Grid
inferredcites →https://doi.org/10.1109/tcc.2021.3134015openalex-snapshot
MSIAP: A Dynamic Searchable Encryption for Privacy-Protection on Smart Grid With Cloud-Edge-End
inferredcites →https://doi.org/10.1109/tcc.2022.3185170openalex-snapshot
Cloud-Edge Orchestrated Power Dispatching for Smart Grid With Distributed Energy Resources
inferredcites →https://doi.org/10.1109/tem.2019.2922936openalex-snapshot
DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids
inferredcites →https://doi.org/10.1109/tetci.2022.3232821openalex-snapshot
Generalized Graph Neural Network-Based Detection of False Data Injection Attacks in Smart Grids
inferredcites →https://doi.org/10.1109/tie.2019.2944091openalex-snapshot
Resilient Control Design for Load Frequency Control System Under False Data Injection Attacks
inferredcites →https://doi.org/10.1109/tifs.2022.3197335openalex-snapshot
Learning Temporal Similarity of Remote Photoplethysmography for Fast 3D Mask Face Presentation Attack Detection
inferredcites →https://doi.org/10.1109/tii.2016.2614396openalex-snapshot
False Data Injection on State Estimation in Power Systems—Attacks, Impacts, and Defense: A Survey
inferredcites →https://doi.org/10.1109/tii.2017.2740324openalex-snapshot
Ensuring Data Integrity of OPF Module and Energy Database by Detecting Changes in Power Flow Patterns in Smart Grids
inferredcites →https://doi.org/10.1109/tii.2019.2895058openalex-snapshot
The Impact of Ramp-Induced Data Attacks on Power System Operational Security
inferredcites →https://doi.org/10.1109/tii.2019.2931436openalex-snapshot
Physical Layer Security for the Smart Grid: Vulnerabilities, Threats, and Countermeasures
inferredcites →https://doi.org/10.1109/tii.2022.3165869openalex-snapshot
Privacy-Preserved Generative Network for Trustworthy Anomaly Detection in Smart Grids: A Federated Semisupervised Approach
inferredcites →https://doi.org/10.1109/tim.2022.3201569openalex-snapshot
A Hybrid ConvLSTM-Based Anomaly Detection Approach for Combating Energy Theft
inferredcites →https://doi.org/10.1109/tnsm.2021.3078381openalex-snapshot
A Unified Deep Learning Anomaly Detection and Classification Approach for Smart Grid Environments
inferredcites →https://doi.org/10.1109/tnsm.2023.3251282openalex-snapshot
Automated, Reliable Zero-Day Malware Detection Based on Autoencoding Architecture
inferredcites →https://doi.org/10.1109/tsg.2011.2159999openalex-snapshot
Protecting Smart Grid Automation Systems Against Cyberattacks
inferredcites →https://doi.org/10.1109/tsg.2014.2298195openalex-snapshot
Model-Based Attack Detection and Mitigation for Automatic Generation Control
inferredcites →https://doi.org/10.1109/tsg.2015.2400215openalex-snapshot
Multiact Dynamic Game Strategy for Jamming Attack in Electricity Market
inferredcites →https://doi.org/10.1109/tsg.2016.2570546openalex-snapshot
Risk Mitigation for Dynamic State Estimation Against Cyber Attacks and Unknown Inputs
inferredcites →https://doi.org/10.1109/tsg.2016.2573261openalex-snapshot
Fault Detector and Switch Placement in Cyber-Enabled Power Distribution Network
inferredcites →https://doi.org/10.1109/tsg.2016.2622289openalex-snapshot
Microgrid Risk Analysis Considering the Impact of Cyber Attacks on Solar PV and ESS Control Systems
inferredcites →https://doi.org/10.1109/tsg.2017.2664043openalex-snapshot
Spoofing-Jamming Attack Strategy Using Optimal Power Distributions in Wireless Smart Grid Networks
inferredcites →https://doi.org/10.1109/tsg.2017.2703842openalex-snapshot
Real-Time Detection of False Data Injection Attacks in Smart Grid: A Deep Learning-Based Intelligent Mechanism
inferredcites →https://doi.org/10.1109/tsg.2017.2737826openalex-snapshot
Intelligent Electronic Devices With Collaborative Intrusion Detection Systems
inferredcites →https://doi.org/10.1109/tsg.2019.2894334openalex-snapshot
Descriptive Analytics-Based Anomaly Detection for Cybersecure Load Forecasting
inferredcites →https://doi.org/10.1109/tsg.2020.2971148openalex-snapshot
Multi-View Convolutional Neural Network for Data Spoofing Cyber-Attack Detection in Distribution Synchrophasors
inferredcites →https://doi.org/10.1109/tsg.2020.2971429openalex-snapshot
iCASM : An Information-Centric Network Architecture for Wide Area Measurement Systems
inferredcites →https://doi.org/10.1109/tsg.2020.3010510openalex-snapshot
Detecting False Data Injection Attacks in Smart Grids: A Semi-Supervised Deep Learning Approach
inferredcites →https://doi.org/10.1109/tsg.2020.3046602openalex-snapshot
Real-Time Synchrophasor Data Anomaly Detection and Classification Using Isolation Forest, KMeans, and LoOP
inferredcites →https://doi.org/10.1109/tsg.2021.3078104openalex-snapshot
Time-Synchronization Attack Detection in Unbalanced Three-Phase Systems
inferredcites →https://doi.org/10.1109/tsg.2021.3117977openalex-snapshot
Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids Using Graph Neural Networks
inferredcites →https://doi.org/10.1109/tsg.2023.3258963openalex-snapshot
An Underestimated Cybersecurity Problem: Quick-Impact Time Synchronization Attacks and a Fast-Triggered Detection Method
inferredcites →https://doi.org/10.1109/tsmc.2018.2884952openalex-snapshot
A Survey on Security Communication and Control for Smart Grids Under Malicious Cyber Attacks
inferredcites →https://doi.org/10.1109/wsc.2011.6147969openalex-snapshot
An event buffer flooding attack in DNP3 controlled SCADA systems
inferredcites →https://doi.org/10.1111/1468-2346.12706openalex-snapshot
UK cyber security and critical national infrastructure protection
inferredcites →https://doi.org/10.1145/1952982.1952995openalex-snapshot
False data injection attacks against state estimation in electric power grids
inferredcites →https://doi.org/10.1145/2642687.2642703openalex-snapshot
Design of a trust security model for smart meters in an urban power grid network
inferredcites →https://doi.org/10.1145/3127021openalex-snapshot
On Reliability Analysis of Smart Grids under Topology Attacks
inferredcites →https://doi.org/10.1145/3209888openalex-snapshot
Distributed Machine Learning on Smart-Gateway Network toward Real-Time Smart-Grid Energy Management with Behavior Cognition
inferredcites →https://doi.org/10.1145/3416010.3423221openalex-snapshot
Dynamic Scheduling and Optimal Reconfiguration of UPF Placement in 5G Networks
inferredcites →https://doi.org/10.1145/3422369openalex-snapshot
Assessing the Severity of Smart Attacks in Industrial Cyber-Physical Systems
inferredcites →https://doi.org/10.1145/3564625.3567969openalex-snapshot
DRAGON: Deep Reinforcement Learning for Autonomous Grid Operation and Attack Detection
inferredcites →https://doi.org/10.1177/1550147717741463openalex-snapshot
A survey of distributed denial-of-service attack, prevention, and mitigation techniques
inferredcites →https://doi.org/10.1504/ijics.2024.141601openalex-snapshot
Machine learning and deep learning techniques for detecting and mitigating cyber threats in IoT-enabled smart grids: a comprehensive review
inferredcites →https://doi.org/10.17775/cseejpes.2018.00520openalex-snapshot
Review on the research and practice of deep learning and reinforcement learning in smart grids
inferredcites →https://doi.org/10.23919/mipro52101.2021.9596885openalex-snapshot
Smart Grid Information Processes Using IoT and Big Data with Cloud and Edge Computing
inferredcites →https://doi.org/10.3390/app14031194openalex-snapshot
A Review of Smart Grid Anomaly Detection Approaches Pertaining to Artificial Intelligence
inferredcites →https://doi.org/10.3390/electronics11060850openalex-snapshot
Threat Modeling of a Smart Grid Secondary Substation
inferredcites →https://doi.org/10.3390/electronics11234006openalex-snapshot
An Approach for Analyzing Cyber Security Threats and Attacks: A Case Study of Digital Substations in Norway
inferredcites →https://doi.org/10.3390/electronics12040797openalex-snapshot
XTM: A Novel Transformer and LSTM-Based Model for Detection and Localization of Formally Verified FDI Attack in Smart Grid
inferredcites →https://doi.org/10.3390/en13184907openalex-snapshot
A Smart Grid AMI Intrusion Detection Strategy Based on Extreme Learning Machine
inferredcites →https://doi.org/10.3390/en15217833openalex-snapshot
Automated Cybersecurity Tester for IEC61850-Based Digital Substations
inferredcites →https://doi.org/10.3390/en16020635openalex-snapshot
A Review of Denial of Service Attack and Mitigation in the Smart Grid Using Reinforcement Learning
inferredcites →https://doi.org/10.3390/en17153745openalex-snapshot
Machine-Learning-Based Anomaly Detection for GOOSE in Digital Substations
inferredcites →https://doi.org/10.3390/en18123194openalex-snapshot
Enhanced-Dueling Deep Q-Network for Trustworthy Physical Security of Electric Power Substations
inferredcites →https://doi.org/10.3390/en81011883openalex-snapshot
State of the Art Authentication, Access Control, and Secure Integration in Smart Grid
inferredcites →https://doi.org/10.3390/fi15020083openalex-snapshot
Analysis of Cyber Security Attacks and Its Solutions for the Smart grid Using Machine Learning and Blockchain Methods
inferredcites →https://doi.org/10.3390/s19112528openalex-snapshot
Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network
inferredcites →https://doi.org/10.3390/s20185305openalex-snapshot
ARIES: A Novel Multivariate Intrusion Detection System for Smart Grid
inferredcites →https://doi.org/10.3390/s21238087openalex-snapshot
Communication Technologies for Smart Grid: A Comprehensive Survey
inferredcites →https://doi.org/10.3390/su14052730openalex-snapshot
DDoS Cyber-Incident Detection in Smart Grids
inferredcites →https://doi.org/10.3390/su142013627openalex-snapshot
A Hybrid Deep Learning-Based Model for Detection of Electricity Losses Using Big Data in Power Systems
inferredcites →https://doi.org/10.4236/cn.2022.144009openalex-snapshot
Cyber-Security of Smart Grids: Attacks, Detection, Countermeasure Techniques, and Future Directions
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.