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Optical Bit-Plane-Based 3D-JST Cryptography Algorithm With Cascaded 2D-FrFT Encryption for Efficient and Secure HEVC Communication

IEEE access, 2021, Vol.9, p.35004-35026

2021

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Integrating Software Engineering Processes in the Development of Efficient Intrusion Detection Systems in Wireless Sensor Networks

Sensors (Basel, Switzerland), 2020-03, Vol.20 (5), p.1375

2020

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A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks

Sensors (Basel, Switzerland), 2022-06, Vol.22 (11), p.4302

2022

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Ransomware Detection System for Android Applications

Electronics (Basel), 2019-08, Vol.8 (8), p.868

2019

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E2E-RDS: Efficient End-to-End Ransomware Detection System Based on Static-Based ML and Vision-Based DL Approaches

Sensors (Basel, Switzerland), 2023-05, Vol.23 (9), p.4467

2023

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Android malware analysis in a nutshell

PloS one, 2022-07, Vol.17 (7), p.e0270647-e0270647

2022

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A Crypto-Steganography Approach for Hiding Ransomware within HEVC Streams in Android IoT Devices

Sensors (Basel, Switzerland), 2022-03, Vol.22 (6), p.2281

2022

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Digitization of healthcare sector: A study on privacy and security concerns

ICT express, 2023-08, Vol.9 (4), p.571-588

2023

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A Comprehensive Analysis of the Android Permissions System

IEEE access, 2020, Vol.8, p.216671-216688

2020

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A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning

Sensors (Basel, Switzerland), 2021-04, Vol.21 (9), p.2987

2021

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An Automated Vision-Based Deep Learning Model for Efficient Detection of Android Malware Attacks

IEEE access, 2022, Vol.10, p.2700-2720

2022

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WSN-DS: A Dataset for Intrusion Detection Systems in Wireless Sensor Networks

Journal of sensors, 2016-01, Vol.2016, p.1-16

2016

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Visualized Malware Multi-Classification Framework Using Fine-Tuned CNN-Based Transfer Learning Models

Applied sciences, 2021-07, Vol.11 (14), p.6446

2021

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Enhancing outpatient clinics management software by reducing patients’ waiting time

Journal of infection and public health, 2016-11, Vol.9 (6), p.734-743

2016

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Maloid-DS: Labeled Dataset for Android Malware Forensics

IEEE access, 2024, Vol.12, p.73481-73546

2024

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IoT Botnet Detection Using Salp Swarm and Ant Lion Hybrid Optimization Model

Symmetry (Basel), 2021-08, Vol.13 (8), p.1377

2021

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Cyber Malware: Offensive and Defensive Systems

1, 2023

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Risk-Based Cybersecurity Compliance Assessment System (RC2AS)

Applied sciences, 2023-05, Vol.13 (10), p.6145

2023

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A Multi-Stage Classification Approach for IoT Intrusion Detection Based on Clustering with Oversampling

Applied sciences, 2021-04, Vol.11 (7), p.3022

2021

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Hybrid-Based Analysis Impact on Ransomware Detection for Android Systems

Applied sciences, 2021-11, Vol.11 (22), p.10976

2021

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Optimizing Extreme Learning Machines Using Chains of Salps for Efficient Android Ransomware Detection

Applied sciences, 2020-06, Vol.10 (11), p.3706

2020

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Cybersecurity maturity assessment framework for higher education institutions in Saudi Arabia

PeerJ. Computer science, 2021-09, Vol.7, p.e703-e703, Article e703

2021

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Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data

IEEE access, 2021, Vol.9, p.57674-57691

2021

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CBiLSTM: A Hybrid Deep Learning Model for Efficient Reputation Assessment of Cloud Services

IEEE access, 2022, Vol.10, p.35321-35335

2022

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An Efficient Localization and Avoidance Method of Jammers in Vehicular Ad Hoc Networks

IEEE access, 2022, Vol.10, p.131640-131655

2022

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Optical Bit-Plane-Based 3D-JST Cryptography Algorithm With Cascaded 2D-FrFT Encryption for Efficient and Secure HEVC Communication

Integrating Software Engineering Processes in the Development of Efficient Intrusion Detection Systems in Wireless Sensor Networks

A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks

Ransomware Detection System for Android Applications

E2E-RDS: Efficient End-to-End Ransomware Detection System Based on Static-Based ML and Vision-Based DL Approaches

Android malware analysis in a nutshell

A Crypto-Steganography Approach for Hiding Ransomware within HEVC Streams in Android IoT Devices

Digitization of healthcare sector: A study on privacy and security concerns

A Comprehensive Analysis of the Android Permissions System

A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning

An Automated Vision-Based Deep Learning Model for Efficient Detection of Android Malware Attacks

WSN-DS: A Dataset for Intrusion Detection Systems in Wireless Sensor Networks

Visualized Malware Multi-Classification Framework Using Fine-Tuned CNN-Based Transfer Learning Models

Enhancing outpatient clinics management software by reducing patients’ waiting time

Maloid-DS: Labeled Dataset for Android Malware Forensics

IoT Botnet Detection Using Salp Swarm and Ant Lion Hybrid Optimization Model

Cyber Malware: Offensive and Defensive Systems

Risk-Based Cybersecurity Compliance Assessment System (RC2AS)

A Multi-Stage Classification Approach for IoT Intrusion Detection Based on Clustering with Oversampling

Hybrid-Based Analysis Impact on Ransomware Detection for Android Systems

Optimizing Extreme Learning Machines Using Chains of Salps for Efficient Android Ransomware Detection

Cybersecurity maturity assessment framework for higher education institutions in Saudi Arabia

Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data

CBiLSTM: A Hybrid Deep Learning Model for Efficient Reputation Assessment of Cloud Services

An Efficient Localization and Avoidance Method of Jammers in Vehicular Ad Hoc Networks

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