Advancing cybersecurity: a comprehensive review of AI-driven detection techniques
As the number and cleverness of cyber-attacks keep increasing rapidly, it's more important
than ever to have good ways to detect and prevent them. Recognizing cyber threats quickly …
than ever to have good ways to detect and prevent them. Recognizing cyber threats quickly …
[HTML][HTML] Android Malware Detection and Identification Frameworks by Leveraging the Machine and Deep Learning Techniques: A Comprehensive Review
The ever-increasing growth of online services and smart connectivity of devices have posed
the threat of malware to computer system, android-based smart phones, Internet of Things …
the threat of malware to computer system, android-based smart phones, Internet of Things …
Automated android malware detection using optimal ensemble learning approach for cybersecurity
Current technological advancement in computer systems has transformed the lives of
humans from real to virtual environments. Malware is unnecessary software that is often …
humans from real to virtual environments. Malware is unnecessary software that is often …
[HTML][HTML] AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks
The widespread usage of Android-powered devices in the Internet of Things (IoT) makes
them susceptible to evolving cybersecurity threats. Most healthcare devices in IoT networks …
them susceptible to evolving cybersecurity threats. Most healthcare devices in IoT networks …
Detecting android malware using deep learning algorithms: A survey
A Alzubaidi - Computers and Electrical Engineering, 2024 - Elsevier
Malware designers and developers persistently endeavor to target smartphone users with
the aim of collecting personal information, infringing on their privacy, and jeopardizing their …
the aim of collecting personal information, infringing on their privacy, and jeopardizing their …
Quantum‐Neural Network Model for Platform Independent Ddos Attack Classification in Cyber Security
MY Küçükkara, F Atban… - Advanced Quantum …, 2024 - Wiley Online Library
Abstract Quantum Machine Learning (QML) leverages the transformative power of quantum
computing to explore a broad range of applications, including optimization, data analysis …
computing to explore a broad range of applications, including optimization, data analysis …
[PDF][PDF] Explainable Classification Model for Android Malware Analysis Using API and Permission-Based Features.
N Aslam, IU Khan, SA Bader, A Alansari… - … , Materials & Continua, 2023 - researchgate.net
One of the most widely used smartphone operating systems, Android, is vulnerable to cutting-
edge malware that employs sophisticated logic. Such malware attacks could lead to the …
edge malware that employs sophisticated logic. Such malware attacks could lead to the …
Detection of android malware using machine learning and siamese shot learning technique for security
FA Almarshad, M Zakariah, GA Gashgari… - IEEE …, 2023 - ieeexplore.ieee.org
Android malware security tools that can swiftly identify and categorize various malware
classes to create rapid response strategies have been trendy in recent years. Although …
classes to create rapid response strategies have been trendy in recent years. Although …
Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles
N Almakayeel - Scientific Reports, 2024 - nature.com
With the growing popularity of autonomous vehicles (AVs), confirming their safety has
become a significant concern. Vehicle manufacturers have combined the Android operating …
become a significant concern. Vehicle manufacturers have combined the Android operating …
Intelligent Pattern Recognition using Equilibrium Optimizer with Deep Learning Model for Android Malware Detection
Android malware recognition is the procedure of mitigating and identifying malicious
software (malware) planned to target Android operating systems (OS) that are extremely …
software (malware) planned to target Android operating systems (OS) that are extremely …