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Ransomware threat success factors, taxonomy, and countermeasures: A survey and research directions

Computers & security, 2018-05, Vol.74, p.144-166

2018

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Ensemble-Based Hybrid Context-Aware Misbehavior Detection Model for Vehicular Ad Hoc Network

Remote sensing (Basel, Switzerland), 2019-12, Vol.11 (23), p.2852

2019

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HealthLock: Blockchain-Based Privacy Preservation Using Homomorphic Encryption in Internet of Things Healthcare Applications

Sensors (Basel, Switzerland), 2023-07, Vol.23 (15), p.6762

2023

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Electric theft detection in advanced metering infrastructure using Jaya optimized combined Kernel‐Tree boosting classifier—A novel sequentially executed supervised machine learning approach

IET generation, transmission & distribution, 2022-03, Vol.16 (6), p.1257-1275

2022

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A system call refinement-based enhanced Minimum Redundancy Maximum Relevance method for ransomware early detection

Journal of network and computer applications, 2020-10, Vol.167, p.102753, Article 102753

2020

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Securing Secrets in Cyber-Physical Systems: A Cutting-Edge Privacy Approach with Consortium Blockchain

Sensors (Basel, Switzerland), 2023-08, Vol.23 (16), p.7162

2023

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Misbehavior-Aware On-Demand Collaborative Intrusion Detection System Using Distributed Ensemble Learning for VANET

Electronics (Basel), 2020-09, Vol.9 (9), p.1411

2020

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Deep Ensemble Fake News Detection Model Using Sequential Deep Learning Technique

Sensors (Basel, Switzerland), 2022-09, Vol.22 (18), p.6970

2022

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Ransomware Detection Using the Dynamic Analysis and Machine Learning: A Survey and Research Directions

Applied sciences, 2022-01, Vol.12 (1), p.172

2022

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Empowering Precision Medicine: Unlocking Revolutionary Insights through Blockchain-Enabled Federated Learning and Electronic Medical Records

Sensors (Basel, Switzerland), 2023-08, Vol.23 (17), p.7476

2023

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DeepIoT.IDS: Hybrid Deep Learning for Enhancing IoT Network Intrusion Detection

Computers, materials & continua, 2021, Vol.69 (3), p.3945-3966

2021

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Review of Data Fusion Methods for Real-Time and Multi-Sensor Traffic Flow Analysis

IEEE access, 2021, Vol.9, p.51258-51276

2021

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A Novel Feature-Engineered-NGBoost Machine-Learning Framework for Fraud Detection in Electric Power Consumption Data

Sensors (Basel, Switzerland), 2021-12, Vol.21 (24), p.8423

2021

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A Fuzzy-Based Context-Aware Misbehavior Detecting Scheme for Detecting Rogue Nodes in Vehicular Ad Hoc Network

Sensors (Basel, Switzerland), 2022-04, Vol.22 (7), p.2810

2022

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A Weighted Minimum Redundancy Maximum Relevance Technique for Ransomware Early Detection in Industrial IoT

Sustainability, 2022-02, Vol.14 (3), p.1231

2022

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Secure Cloud Infrastructure: A Survey on Issues, Current Solutions, and Open Challenges

Applied sciences, 2021-10, Vol.11 (19), p.9005

2021

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A New Collaborative Multi-Agent Monte Carlo Simulation Model for Spatial Correlation of Air Pollution Global Risk Assessment

Sustainability, 2022-01, Vol.14 (1), p.510

2022

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Smart Piezoelectric-Based Wearable System for Calorie Intake Estimation Using Machine Learning

Applied sciences, 2022-06, Vol.12 (12), p.6135

2022

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Automated Analysis Approach for the Detection of High Survivable Ransomware

KSII Transactions on Internet and Information Systems, 2020, 14(5), , pp.2236-2257

2020

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Malware Detection Issues, Challenges, and Future Directions: A Survey

Applied sciences, 2022-09, Vol.12 (17), p.8482

2022

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Addressing Behavioral Drift In Ransomware Early Detection Through Weighted Generative Adversarial Networks

IEEE access, 2024-01, Vol.12, p.1-1

2024

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A Ransomware Early Detection Model based on an Enhanced Joint Mutual Information Feature Selection Method

Engineering, technology & applied science research, 2024-08, Vol.14 (4), p.15400-15407

2024

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A Pseudo Feedback-Based Annotated TF-IDF Technique for Dynamic Crypto-Ransomware Pre-Encryption Boundary Delineation and Features Extraction

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Digital Forensics Subdomains: The State of the Art and Future Directions

IEEE access, 2021, Vol.9, p.152476-152502

2021

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An Adaptive Protection of Flooding Attacks Model for Complex Network Environments

Security and communication networks, 2021, Vol.2021, p.1-17

2021

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Ransomware threat success factors, taxonomy, and countermeasures: A survey and research directions

Ensemble-Based Hybrid Context-Aware Misbehavior Detection Model for Vehicular Ad Hoc Network

HealthLock: Blockchain-Based Privacy Preservation Using Homomorphic Encryption in Internet of Things Healthcare Applications

Electric theft detection in advanced metering infrastructure using Jaya optimized combined Kernel‐Tree boosting classifier—A novel sequentially executed supervised machine learning approach

A system call refinement-based enhanced Minimum Redundancy Maximum Relevance method for ransomware early detection

Securing Secrets in Cyber-Physical Systems: A Cutting-Edge Privacy Approach with Consortium Blockchain

Misbehavior-Aware On-Demand Collaborative Intrusion Detection System Using Distributed Ensemble Learning for VANET

Deep Ensemble Fake News Detection Model Using Sequential Deep Learning Technique

Ransomware Detection Using the Dynamic Analysis and Machine Learning: A Survey and Research Directions

Empowering Precision Medicine: Unlocking Revolutionary Insights through Blockchain-Enabled Federated Learning and Electronic Medical Records

DeepIoT.IDS: Hybrid Deep Learning for Enhancing IoT Network Intrusion Detection

Review of Data Fusion Methods for Real-Time and Multi-Sensor Traffic Flow Analysis

A Novel Feature-Engineered-NGBoost Machine-Learning Framework for Fraud Detection in Electric Power Consumption Data

A Fuzzy-Based Context-Aware Misbehavior Detecting Scheme for Detecting Rogue Nodes in Vehicular Ad Hoc Network

A Weighted Minimum Redundancy Maximum Relevance Technique for Ransomware Early Detection in Industrial IoT

Secure Cloud Infrastructure: A Survey on Issues, Current Solutions, and Open Challenges

A New Collaborative Multi-Agent Monte Carlo Simulation Model for Spatial Correlation of Air Pollution Global Risk Assessment

Smart Piezoelectric-Based Wearable System for Calorie Intake Estimation Using Machine Learning

Automated Analysis Approach for the Detection of High Survivable Ransomware

Malware Detection Issues, Challenges, and Future Directions: A Survey

Addressing Behavioral Drift In Ransomware Early Detection Through Weighted Generative Adversarial Networks

A Ransomware Early Detection Model based on an Enhanced Joint Mutual Information Feature Selection Method

A Pseudo Feedback-Based Annotated TF-IDF Technique for Dynamic Crypto-Ransomware Pre-Encryption Boundary Delineation and Features Extraction

Digital Forensics Subdomains: The State of the Art and Future Directions

An Adaptive Protection of Flooding Attacks Model for Complex Network Environments

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