Malware detection using deep learning and correlation-based feature selection
Malware is one of the most frequent cyberattacks, with its prevalence growing daily across
the network. Malware traffic is always asymmetrical compared to benign traffic, which is …
the network. Malware traffic is always asymmetrical compared to benign traffic, which is …
A novel federated edge learning approach for detecting cyberattacks in IoT infrastructures
The advancement of the communications system has resulted in the rise of the Internet of
Things (IoT), which has increased the importance of cybersecurity research. IoT, which …
Things (IoT), which has increased the importance of cybersecurity research. IoT, which …
[HTML][HTML] An optimized and efficient android malware detection framework for future sustainable computing
Android-based smart devices cater to services in almost every aspect of our lives like
personal, professional, social, banking, business, etc. However, people with increasingly …
personal, professional, social, banking, business, etc. However, people with increasingly …
A novel hierarchical feature selection with local shuffling and models reweighting for stock price forecasting
Z An, Y Wu, F Hao, Y Chen, X He - Expert Systems with Applications, 2024 - Elsevier
Stock price forecasting is a challenging task due to the complexity of financial markets and
the high volatility of stocks. Because of the strong nonlinear representation ability of neural …
the high volatility of stocks. Because of the strong nonlinear representation ability of neural …
Feature selection in intrusion detection systems: a new hybrid fusion of Bat algorithm and Residue Number System
This research introduces innovative approaches to enhance intrusion detection systems
(IDSs) by addressing critical challenges in existing methods. Various machine-learning …
(IDSs) by addressing critical challenges in existing methods. Various machine-learning …
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 …
[HTML][HTML] Enhancement of IoT device security using an Improved Elliptic Curve Cryptography algorithm and malware detection utilizing deep LSTM
Internet of things (IoT) has become more popular due to the development and potential of
smart technology aspects. Security concerns against IoT infrastructure, applications, and …
smart technology aspects. Security concerns against IoT infrastructure, applications, and …
AMDDLmodel: Android smartphones malware detection using deep learning model
Android is the most popular operating system of the latest mobile smart devices. With this
operating system, many Android applications have been developed and become an …
operating system, many Android applications have been developed and become an …
Efficient android malware identification with limited training data utilizing multiple convolution neural network techniques
Abstract The Internet of Things (IoT) has experienced phenomenal expansion over the past
few years and has emerged as one of the most dynamic sectors of the international market …
few years and has emerged as one of the most dynamic sectors of the international market …
Android malware detection method based on highly distinguishable static features and DenseNet
J Yang, Z Zhang, H Zhang, JW Fan - Plos one, 2022 - journals.plos.org
The rapid growth of malware has become a serious problem that threatens the security of
the mobile ecosystem and needs to be studied and resolved. Android is the main target of …
the mobile ecosystem and needs to be studied and resolved. Android is the main target of …