Extended Kalman Filter-Based Parallel Dynamic State Estimation. - Hadis Karimipour; Venkata Dinavahi (IEEE Trans. Smart Grid, 2015)

Robust Massively Parallel Dynamic State Estimation of Power Systems Against Cyber-Attack. - Hadis Karimipour; Venkata Dinavahi (IEEE Access, 2018)

Dynamic Behavior Control of Induction Motor with STATCOM. - Majid Dehghani; Peyman Karimyan; Mehradad Abedi; Hadis Karimipour (CoRR, 2018)

A deep unsupervised representation learning approach for effective cyber-physical attack detection and identification on highly imbalanced data. - Amir Namavar Jahromi; Jacob Sakhnini; Hadis Karimipour; Ali Dehghantanha (CASCON, 2019)

Intelligent Anomaly Detection for Large-scale Smart Grids. - Hadis Karimipour; Sandra Geris; Ali Dehghantanha; Henry Leung (CCECE, 2019)

Power System Dynamic State Estimation Using Smooth Variable Structure Filter. - Ibrahim Al-Omari; Abolfazl Rahimnejad; S. Andrew Gadsden; Medhat Moussa; Hadis Karimipour (GlobalSIP, 2019)

Smart Households Demand Response Management with Micro Grid. - Hossein Mohammadi Ruzbahani; Abolfazl Rahimnejad; Hadis Karimipour (ISGT, 2019)

A Deep and Scalable Unsupervised Machine Learning System for Cyber-Attack Detection in Large-Scale Smart Grids. - Hadis Karimipour; Ali Dehghantanha; Reza M. Parizi; Kim-Kwang Raymond Choo; Henry Leung (IEEE Access, 2019)

Smart Grid Cyber Attacks Detection using Supervised Learning and Heuristic Feature Selection. - Jacob Sakhnini; Hadis Karimipour; Ali Dehghantanha (CoRR, 2019)

Blockchain Applications in Power Systems: A Bibliometric Analysis. - Hossein Mohammadi Rouzbahani; Hadis Karimipour; Ali Dehghantanha; Reza M. Parizi (CoRR, 2019)

Cyber intrusion detection by combined feature selection algorithm. - Sara Mohammadi; Hamid Mirvaziri; Mostafa Ghazizadeh Ahsaee; Hadis Karimipour (J. Inf. Secur. Appl., 2019)

Fuzzy pattern tree for edge malware detection and categorization in IoT. - Ensieh Modiri Dovom; Amin Azmoodeh; Ali Dehghantanha; David Ellis Newton; Reza M. Parizi; Hadis Karimipour (J. Syst. Archit., 2019)

Industrial Big Data Analytics: Challenges and Opportunities. - Abdulrahman Al-Abassi; Hadis Karimipour; Hamed Haddad Pajouh; Ali Dehghantanha; Reza M. Parizi (Handbook of Big Data Privacy, 2020)

Enhancing Network Security Via Machine Learning: Opportunities and Challenges. - Mahdi Amrollahi; Shahrzad Hadayeghparast; Hadis Karimipour; Farnaz Derakhshan; Gautam Srivastava 001 (Handbook of Big Data Privacy, 2020)

RAT Hunter: Building Robust Models for Detecting Remote Access Trojans Based on Optimum Hybrid Features. - Mohammad Mehdi BehradFar; Hamed HaddadPajouh; Ali Dehghantanha; Amin Azmoodeh; Hadis Karimipour; Reza M. Parizi; Gautam Srivastava 001 (Handbook of Big Data Privacy, 2020)

Big-Data and Cyber-Physical Systems in Healthcare: Challenges and Opportunities. - Jesus Castillo Cabello; Hadis Karimipour; Amir Namavar Jahromi; Ali Dehghantanha; Reza M. Parizi (Handbook of Big Data Privacy, 2020)

Privacy Preserving Abnormality Detection: A Deep Learning Approach. - Wenyu Han; Amin Azmoodeh; Hadis Karimipour; Simon Yang (Handbook of Big Data Privacy, 2020)

A Privacy Protection Key Agreement Protocol Based on ECC for Smart Grid. - Mostafa Farhadi Moghadam; Amirhossein Mohajerzdeh; Hadis Karimipour; Hamid Chitsaz; Roya Karimi; Behzad Molavi (Handbook of Big Data Privacy, 2020)

Privacy and Security in Smart and Precision Farming: A Bibliometric Analysis. - Sanaz Nakhodchi; Ali Dehghantanha; Hadis Karimipour (Handbook of Big Data Privacy, 2020)

Malware Elimination Impact on Dynamic Analysis: An Experimental Machine Learning Approach. - Mohammad Nassiri; Hamed HaddadPajouh; Ali Dehghantanha; Hadis Karimipour; Reza M. Parizi; Gautam Srivastava 001 (Handbook of Big Data Privacy, 2020)

Anomaly Detection in Cyber-Physical Systems Using Machine Learning. - Hossein Mohammadi Rouzbahani; Hadis Karimipour; Abolfazl Rahimnejad; Ali Dehghantanha; Gautam Srivastava 001 (Handbook of Big Data Privacy, 2020)

Big Data Application for Security of Renewable Energy Resources. - Hossein Mohammadi Rouzbahani; Hadis Karimipour; Gautam Srivastava 001 (Handbook of Big Data Privacy, 2020)

AI and Security of Critical Infrastructure. - Jacob Sakhnini; Hadis Karimipour; Ali Dehghantanha; Reza M. Parizi (Handbook of Big Data Privacy, 2020)

Artificial Intelligence and Security of Industrial Control Systems. - Suby Singh; Hadis Karimipour; Hamed HaddadPajouh; Ali Dehghantanha (Handbook of Big Data Privacy, 2020)

Applications of Big Data Analytics and Machine Learning in the Internet of Things. - Shamim Yousefi; Farnaz Derakhshan; Hadis Karimipour (Handbook of Big Data Privacy, 2020)

Unsupervised Stacked Autoencoders for Anomaly Detection on Smart Cyber-physical Grids. - Abdulrahman Al-Abassi; Jacob Sakhnini; Hadis Karimipour (SMC, 2020)

A Hybrid Deep Learning-Based Power System State Forecasting. - Shahrzad Hadayeghparast; Amir Namavar Jahromi; Hadis Karimipour (SMC, 2020)

An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids. - Hossein Mohammadi Rouzbahani; Hadis Karimipour; Lei Lei 004 (SMC, 2020)

SLPoW: Secure and Low Latency Proof of Work Protocol for Blockchain in Green IoT Networks. - Abbas Yazdinejad; Gautam Srivastava 001; Reza M. Parizi; Ali Dehghantanha; Hadis Karimipour; Somayeh Razaghi Karizno (VTC Spring, 2020)

An Ensemble Deep Learning-Based Cyber-Attack Detection in Industrial Control System. - Abdulrahman Al-Abassi; Hadis Karimipour; Ali Dehghantanha; Reza M. Parizi (IEEE Access, 2020)

An efficient route planning model for mobile agents on the internet of things using Markov decision process. - Shamim Yousefi; Farnaz Derakhshan; Hadis Karimipour; Hadi S. Aghdasi (Ad Hoc Networks, 2020)

Ensemble sparse representation-based cyber threat hunting for security of smart cities. - Seyed Mehdi Hazrati Fard; Hadis Karimipour; Ali Dehghantanha; Amir Namavar Jahromi; Gautam Srivastava 001 (Comput. Electr. Eng., 2020)

An energy-efficient artificial bee colony-based clustering in the internet of things. - Shamim Yousefi; Farnaz Derakhshan; Hadi S. Aghdasi; Hadis Karimipour (Comput. Electr. Eng., 2020)

An improved two-hidden-layer extreme learning machine for malware hunting. - Amir Namavar Jahromi; Sattar Hashemi; Ali Dehghantanha; Kim-Kwang Raymond Choo; Hadis Karimipour; David Ellis Newton; Reza M. Parizi (Comput. Secur., 2020)

Detecting Cryptomining Malware: a Deep Learning Approach for Static and Dynamic Analysis. - Hamid Darabian; Sajad Homayoun; Ali Dehghantanha; Sattar Hashemi; Hadis Karimipour; Reza M. Parizi; Kim-Kwang Raymond Choo (J. Grid Comput., 2020)

Relaxation-based anomaly detection in cyber-physical systems using ensemble kalman filter. - Hadis Karimipour; Henry Leung (IET Cyper-Phys. Syst.: Theory & Appl., 2020)

Machine learning based solutions for security of Internet of Things (IoT): A survey. - Syeda Manjia Tahsien; Hadis Karimipour; Petros Spachos (J. Netw. Comput. Appl., 2020)

Blockchain Applications in Power Systems: A Bibliometric Analysis. - Hossein Mohammadi Rouzbahani; Hadis Karimipour; Ali Dehghantanha; Reza M. Parizi (Blockchain Cybersecurity, Trust and Privacy, 2020)

Public Blockchains Scalability: An Examination of Sharding and Segregated Witness. - Amritraj Singh; Reza M. Parizi; Meng Han; Ali Dehghantanha; Hadis Karimipour; Kim-Kwang Raymond Choo (Blockchain Cybersecurity, Trust and Privacy, 2020)

Secure Blockchain-Based Traffic Load Balancing Using Edge Computing and Reinforcement Learning. - Kevin Tiba; Reza M. Parizi; Qi Zhang 009; Ali Dehghantanha; Hadis Karimipour; Kim-Kwang Raymond Choo (Blockchain Cybersecurity, Trust and Privacy, 2020)

Deep Federated Learning-Based Cyber-Attack Detection in Industrial Control Systems. - Amir Namavar Jahromi; Hadis Karimipour; Ali Dehghantanha (PST, 2021)

Resilient Scheduling of Networked Microgrids Against Real-Time Failures. - Hadi Safari Fesagandis; Mehdi Jalali; Kazem Zare; Mehdi Abapour; Hadis Karimipour (IEEE Access, 2021)

Optimized Power Trading of Reconfigurable Microgrids in Distribution Energy Market. - Arezoo Jahani; Kazem Zare; Leyli Mohammad Khanli; Hadis Karimipour (IEEE Access, 2021)

Generative adversarial network to detect unseen Internet of Things malware. - Zahra Moti; Sattar Hashemi; Hadis Karimipour; Ali Dehghantanha; Amir Namavar Jahromi; Lida Abdi; Fatemeh Alavi (Ad Hoc Networks, 2021)

Federated learning for drone authentication. - Abbas Yazdinejad; Reza M. Parizi; Ali Dehghantanha; Hadis Karimipour (Ad Hoc Networks, 2021)

Introduction to the special section on application of artificial intelligence in security of cyber physical systems (VSI-aicps). - Kim-Kwang Raymond Choo; Ali Dehghantanha; Hadis Karimipour (Comput. Electr. Eng., 2021)

Integration of blockchain and federated learning for Internet of Things: Recent advances and future challenges. - Mansoor Ali; Hadis Karimipour; Muhammad Tariq (Comput. Secur., 2021)

Instability Prediction in Smart Cyber-physical Grids Using Feedforward Neural Networks. - Amirreza Jafari; Farzad Baghal Darbandi; Hadis Karimipour (CoRR, 2021)

A Hybrid Deep Learning-Based State Forecasting Method for Smart Power Grids. - Shahrzad Hadayeghparast; Amir Namavar Jahromi; Hadis Karimipour (CoRR, 2021)

Cybersecurity in Smart Farming: Canada Market Research. - Ali Dehghantanha; Hadis Karimipour; Amin Azmoodeh (CoRR, 2021)

A survey on internet of things security: Requirements, challenges, and solutions. - Hamed HaddadPajouh; Ali Dehghantanha; Reza M. Parizi; Mohammed Aledhari; Hadis Karimipour (Internet Things, 2021)

Security aspects of Internet of Things aided smart grids: A bibliometric survey. - Jacob Sakhnini; Hadis Karimipour; Ali Dehghantanha; Reza M. Parizi; Gautam Srivastava 001 (Internet Things, 2021)

Data Aggregation Mechanisms on the Internet of Things: A Systematic Literature Review. - Shamim Yousefi; Hadis Karimipour; Farnaz Derakhshan (Internet Things, 2021)

A Multikernel and Metaheuristic Feature Selection Approach for IoT Malware Threat Hunting in the Edge Layer. - Hamed HaddadPajouh; Alireza Mohtadi; Ali Dehghantanha; Hadis Karimipour; Xiaodong Lin 001; Kim-Kwang Raymond Choo (IEEE Internet Things J., 2021)

Toward Detection and Attribution of Cyber-Attacks in IoT-Enabled Cyber-Physical Systems. - Amir Namavar Jahromi; Hadis Karimipour; Ali Dehghantanha; Kim-Kwang Raymond Choo (IEEE Internet Things J., 2021)

Enabling Drones in the Internet of Things With Decentralized Blockchain-Based Security. - Abbas Yazdinejad; Reza M. Parizi; Ali Dehghantanha; Hadis Karimipour; Gautam Srivastava 001; Mohammed Aledhari (IEEE Internet Things J., 2021)

A Deep Neural Network Combined with Radial Basis Function for Abnormality Classification. - Noushin Jafarpisheh; Effat Jalaeian Zaferani; Mohammad Teshnehlab; Hadis Karimipour; Reza M. Parizi; Gautam Srivastava 001 (Mob. Networks Appl., 2021)

Physical layer attack identification and localization in cyber-physical grid: An ensemble deep learning based approach. - Jacob Sakhnini; Hadis Karimipour; Ali Dehghantanha; Reza M. Parizi (Phys. Commun., 2021)

Adaptive Control for Security and Resilience of Networked Cyber-Physical Systems: Where Are We? - Talal Halabi; Israat Haque 001; Hadis Karimipour (TPS-ISA, 2022)

Communication Layer Security in Smart Farming: A Survey on Wireless Technologies. - Hossein Mohammadi Rouzbahani; Hadis Karimipour; Evan Fraser; Ali Dehghantanha; Emily Duncan; Arthur Green; Conchobhair Russell (CoRR, 2022)

FDI attack detection using extra trees algorithm and deep learning algorithm-autoencoder in smart grid. - Seyed Hossein Majidi; Shahrzad Hadayeghparast; Hadis Karimipour (Int. J. Crit. Infrastructure Prot., 2022)

An efficient packet parser architecture for software-defined 5G networks. - Abbas Yazdinejad; Ali Dehghantanha; Hadis Karimipour; Gautam Srivastava 001; Reza M. Parizi (Phys. Commun., 2022)

A Self-Tuning Cyber-Attacks' Location Identification Approach for Critical Infrastructures. - Abdulrahman Al-Abassi; Amir Namavar Jahromi; Hadis Karimipour; Ali Dehghantanha; Pierluigi Siano; Henry Leung (IEEE Trans. Ind. Informatics, 2022)

IIoT Deep Malware Threat Hunting: From Adversarial Example Detection to Adversarial Scenario Detection. - Bardia Esmaeili; Amin Azmoodeh; Ali Dehghantanha; Hadis Karimipour; Behrouz Zolfaghari; Mohammad Hammoudeh (IEEE Trans. Ind. Informatics, 2022)

Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-Based IIoT Networks. - Abbas Yazdinejad; Ali Dehghantanha; Reza M. Parizi; Mohammad Hammoudeh; Hadis Karimipour; Gautam Srivastava 001 (IEEE Trans. Ind. Informatics, 2022)

A Deep Multi-Modal Cyber-Attack Detection in Industrial Control Systems. - Sepideh Bahadoripour; M. Ethan MacDonald; Hadis Karimipour (ICIT, 2023)

A GAN-Based False Data Injection and Civil Attack Detection Framework for Digital Relays with Feature Selection. - Arshia Aflaki; Hadis Karimipour; Amir Namavar Jahromi (SMC, 2023)

An Ensemble Learning to Detect Decision-Based Adversarial Attacks in Industrial Control Systems. - Narges Babadi; Hadis Karimipour; Anik Islam (SSCI, 2023)

A Federated Transfer Learning-Empowered Blockchain-Enabled Secure Knowledge Sharing Scheme for Unmanned Any Vehicles in Smart Cities. - Anik Islam; Hadis Karimipour (SSCI, 2023)

Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks. - Abbas Yazdinejad; Ali Dehghantanha; Reza M. Parizi; Gautam Srivastava 001; Hadis Karimipour (Comput. Ind., 2023)

An ensemble deep federated learning cyber-threat hunting model for Industrial Internet of Things. - Amir Namavar Jahromi; Hadis Karimipour; Ali Dehghantanha (Comput. Commun., 2023)

CRL+: A Novel Semi-Supervised Deep Active Contrastive Representation Learning-Based Text Classification Model for Insurance Data. - Amir Namavar Jahromi; Ebrahim Pourjafari; Hadis Karimipour; Amit Satpathy; Lovell Hodge (CoRR, 2023)

An ensemble deep learning model for cyber threat hunting in industrial internet of things. - Abbas Yazdinejad; Mostafa Kazemi; Reza M. Parizi; Ali Dehghantanha; Hadis Karimipour (Digit. Commun. Networks, 2023)

Optimizing Resource Swap Functionality in IoE-Based Grids Using Approximate Reasoning Reward-Based Adjustable Deep Double Q-Learning. - Hossein Mohammadi Rouzbahani; Hadis Karimipour; Lei Lei 004 (IEEE Trans. Consumer Electron., 2023)

Accurate threat hunting in industrial internet of things edge devices. - Abbas Yazdinejad; Behrouz Zolfaghari; Ali Dehghantanha; Hadis Karimipour; Gautam Srivastava 001; Reza M. Parizi (Digit. Commun. Networks, 2023)

A federated and explainable approach for insider threat detection in IoT. - Mohammad Amiri-Zarandi; Hadis Karimipour; Rozita A. Dara 001 (Internet Things, 2023)

A Generalizable Deep Neural Network Method for Detecting Attacks in Industrial Cyber-Physical Systems. - Jacob Sakhnini; Hadis Karimipour; Ali Dehghantanha; Abbas Yazdinejad; Thippa Reddy Gadekallu; Nancy Victor; Anik Islam (IEEE Syst. J., 2023)

A Deep Learning-Based FDI Attack Detection Scheme for Secure Data Consolidation in Cooperative UxV Operations Using Zero Touch Networking. - Anik Islam; Hadis Karimipour (WF-IoT, 2024)

Application of Artificial Intelligence in Supporting Healthcare Professionals and Caregivers in Treatment of Autistic Children. - Hossein Mohammadi Rouzbahani; Hadis Karimipour (CoRR, 2024)

A GNN-Based Adversarial Internet of Things Malware Detection Framework for Critical Infrastructure: Studying Gafgyt, Mirai, and Tsunami Campaigns. - Bardia Esmaeili; Amin Azmoodeh; Ali Dehghantanha; Gautam Srivastava 001; Hadis Karimipour; Jerry Chun-Wei Lin (IEEE Internet Things J., 2024)

Hybrid Privacy Preserving Federated Learning Against Irregular Users in Next-Generation Internet of Things. - Abbas Yazdinejad; Ali Dehghantanha; Gautam Srivastava 001; Hadis Karimipour; Reza M. Parizi (J. Syst. Archit., 2024)

A Robust Privacy-Preserving Federated Learning Model Against Model Poisoning Attacks. - Abbas Yazdinejad; Ali Dehghantanha; Hadis Karimipour; Gautam Srivastava 001; Reza M. Parizi (IEEE Trans. Inf. Forensics Secur., 2024)

An explainable multi-modal model for advanced cyber-attack detection in industrial control systems. - Sepideh Bahadoripour; Hadis Karimipour; Amir Namavar Jahromi; Anik Islam (Internet Things, 2024)

An explainable big transfer learning approach for IoT-based safety management in smart factories. - Zahra Hamoony Haghighat; Anik Islam; Hadis Karimipour; Behnam Miripour Fard (Internet Things, 2025)

A Federated Meta Learning-Based Secure Data Consolidation Scheme for Industrial AIoT Leveraging Drone. - Anik Islam; Hadis Karimipour; Abraham O. Fapojuwo (IEEE Trans. Veh. Technol., 2025)

A Federated Unlearning-Based Secure Management Scheme to Enable Automation in Smart Consumer Electronics Facilitated by Digital Twin. - Anik Islam; Hadis Karimipour; Thippa Reddy Gadekallu; Yaodong Zhu (IEEE Trans. Consumer Electron., 2025)

Guest Editorial: Digital Twins Meet Artificial Intelligence In 6g: Part I. - Xingqin Lin; Jun Zhang; Hadis Karimipour; Chao-Kai Wen (IEEE Commun. Mag., 2025)

A Probabilistic-Based Approach for Detecting Simultaneous Load Redistribution Attacks Through Entropy Analysis and Deep Learning. - Ali Khaleghi; Hadis Karimipour (IEEE Trans. Smart Grid, 2025)

Guest Editorial:Digital Twins Meet Artificial Intelligence in 6G: Part 2. - Xingqin Lin; Jun Zhang; Hadis Karimipour; Chao-Kai Wen (IEEE Commun. Mag., 2025)

CLDP=FATD: Secure Federated Averaging Threat Detection Framework for Intelligent Vehicle Sensor Networks Based on Client-Level Differential Privacy. - Goodness Oluchi Anyanwu; Hadis Karimipour (IEEE Internet Things J., 2025)

Multimodal Game-Theoretic Cyber-Attack Projection in Industrial Control Systems. - Amir Namavar Jahromi; Hadis Karimipour; Talal Halabi; Yaodong Zhu; Thippa Reddy Gadekallu (IEEE Trans. Consumer Electron., 2025)

An Explainable AutoML-Driven Meta-Learning Scheme for Intrusion Prevention in Zero-Touch Networks Within Carbon Intelligent IIoT. - Anik Islam; Hadis Karimipour; Thippa Reddy Gadekallu (IEEE Internet Things J., 2025)