A survey of recent advances in deep learning models for detecting malware in desktop and mobile platforms
Malware is one of the most common and severe cyber threats today. Malware infects
millions of devices and can perform several malicious activities including compromising …
millions of devices and can perform several malicious activities including compromising …
[HTML][HTML] MalHyStack: a hybrid stacked ensemble learning framework with feature engineering schemes for obfuscated malware analysis
Since the advent of malware, it has reached a toll in this world that exchanges billions of
data daily. Millions of people are victims of it, and the numbers are not decreasing as the …
data daily. Millions of people are victims of it, and the numbers are not decreasing as the …
A brief survey of deep learning methods for android Malware detection
As the number of malware attacks continues to grow year by year with increasing
complexity, Android devices have remained vulnerable with over 30 million mobile attacks …
complexity, Android devices have remained vulnerable with over 30 million mobile attacks …
Privacy-Preserving Federated Learning Approach for Distributed Malware Attacks With Intermittent Clients and Image Representation
Deep learning approaches for malware attacks are effective when trained on the same
organizational network. However, it is challenging to develop a trustworthy distributed …
organizational network. However, it is challenging to develop a trustworthy distributed …
Intelligent evaluation system for new energy vehicles based on sentiment analysis: An MG-PL-3WD method
C Zhang, Q Wen, D Li, AK Sangaiah, M Lin - Engineering Applications of …, 2024 - Elsevier
As a critical strategic tool within the framework of the digital economy (DE), artificial
intelligence (AI) plays a crucial role in realizing an AI-assisted economy. This novel …
intelligence (AI) plays a crucial role in realizing an AI-assisted economy. This novel …
NIDS-VSB: Network intrusion detection system for VANET using spark-based big data optimization and transfer learning
Vehicle Ad Hoc Networks (VANET) are a technology that allows existing transportation
systems to deliver critical information safely. Due to real-time communication, VANET …
systems to deliver critical information safely. Due to real-time communication, VANET …
A Novel Mechanism for Tuning Neural Network for Malware Detection in Android Device
Malicious software or code that is specifically targeted towards Android devices, such as
smartphones and tablets running the Android operating system, is known as Android …
smartphones and tablets running the Android operating system, is known as Android …
[PDF][PDF] The effects of training using an android-based media blocker tool on the West Sumatra pelatprov sepaktakraw smash in 2023
The problem in this study was the low achievement of sepaktakraw athletes who were
thought to be influenced by a smash often failing to turn off the ball. The ball was often …
thought to be influenced by a smash often failing to turn off the ball. The ball was often …
DeepMetaDroid: Real-Time Android Malware Detection Using Deep Learning and Metadata Features
HHR Manzil - Cloud Computing and Data Science, 2024 - ojs.wiserpub.com
The increasing prevalence of Android malware poses significant risks to mobile devices and
user privacy. The traditional detection methods have limitations in keeping up with the …
user privacy. The traditional detection methods have limitations in keeping up with the …
Dynamic Android Malware Detection Using Temporal Convolutional Networks
As new malware emerges and continues to grow in number with increasing complexity, user
applications are foreseen to face greater security challenges. Hence, there is a need to …
applications are foreseen to face greater security challenges. Hence, there is a need to …