相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。IoT-Based Android Malware Detection Using Graph Neural Network With Adversarial Defense
Rahul Yumlembam et al.
IEEE INTERNET OF THINGS JOURNAL (2023)
Malware Detection and Classification in IoT Network using ANN
Ayesha Jamal et al.
MEHRAN UNIVERSITY RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (2022)
A Deep Dive Inside DREBIN: An Explorative Analysis beyond Android Malware Detection Scores
Nadia Daoudi et al.
ACM TRANSACTIONS ON PRIVACY AND SECURITY (2022)
Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks
Mohammed Nasser Al-Andoli et al.
INFORMATION SCIENCES (2022)
Android Malware Classification Using Optimized Ensemble Learning Based on Genetic Algorithms
Altyeb Taha et al.
SUSTAINABILITY (2022)
Parallel Deep Learning with a hybrid BP-PSO framework for feature extraction and malware classification
Mohammed Nasser Al-Andoli et al.
APPLIED SOFT COMPUTING (2022)
A Multifaceted Deep Generative Adversarial Networks Model for Mobile Malware Detection
Fahad Mazaed Alotaibi et al.
APPLIED SCIENCES-BASEL (2022)
IMCLNet: A lightweight deep neural network for Image-based Malware Classification
Binghui Zou et al.
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS (2022)
Tree-Based Classifier Ensembles for PE Malware Analysis: A Performance Revisit
Maya Hilda Lestari Louk et al.
ALGORITHMS (2022)
Graph Neural Network-based Android Malware Classification with Jumping Knowledge
Wai Weng Lo et al.
2022 5TH IEEE CONFERENCE ON DEPENDABLE AND SECURE COMPUTING (IEEE DSC 2022) (2022)
A Survey of Android Malware Detection with Deep Neural Models
Junyang Qiu et al.
ACM COMPUTING SURVEYS (2021)
An extrinsic random-based ensemble approach for android malware detection
Nektaria Potha et al.
CONNECTION SCIENCE (2021)
Visualization and deep-learning-based malware variant detection using OpCode-level features
Abdulbasit Darem et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2021)
AI-HydRa: Advanced hybrid approach using random forest and deep learning for malware classification
Suyeon Yoo et al.
INFORMATION SCIENCES (2021)
Ensemble-Based Classification Using Neural Networks and Machine Learning Models for Windows PE Malware Detection
Robertas Damasevicius et al.
ELECTRONICS (2021)
Vision-Based Malware Detection: A Transfer Learning Approach Using Optimal ECOC-SVM Configuration
W. K. Wong et al.
IEEE ACCESS (2021)
A Review on Community Detection in Large Complex Networks from Conventional to Deep Learning Methods: A Call for the Use of Parallel Meta-Heuristic Algorithms
Mohammed Nasser Al-Andoli et al.
IEEE ACCESS (2021)
A New Malware Classification Framework Based on Deep Learning Algorithms
Omer Aslan et al.
IEEE ACCESS (2021)
被撤回的出版物: A Survey on Malware Detection and Classification (Retracted article. See FEB, 2022)
Rupali Komatwar et al.
JOURNAL OF APPLIED SECURITY RESEARCH (2021)
Android malware classification using convolutional neural network and LSTM
Soodeh Hosseini et al.
JOURNAL OF COMPUTER VIROLOGY AND HACKING TECHNIQUES (2021)
IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture
Danish Vasan et al.
COMPUTER NETWORKS (2020)
AMalNet: A deep learning framework based on graph convolutional networks for malware detection
Xinjun Pei et al.
COMPUTERS & SECURITY (2020)
Two Anatomists Are Better than One-Dual-Level Android Malware Detection
Vasileios Kouliaridis et al.
SYMMETRY-BASEL (2020)
Software Vulnerability Detection Using Deep Neural Networks: A Survey
Guanjun Lin et al.
PROCEEDINGS OF THE IEEE (2020)
Evaluation of Advanced Ensemble Learning Techniques for Android Malware Detection
Md. Shohel Rana et al.
VIETNAM JOURNAL OF COMPUTER SCIENCE (2020)
A Comprehensive Review on Malware Detection Approaches
Omer Aslan et al.
IEEE ACCESS (2020)
FAMD: A Fast Multifeature Android Malware Detection Framework, Design, and Implementation
Hongpeng Bai et al.
IEEE ACCESS (2020)
Improved Malware Detection Model with Apriori Association Rule and Particle Swarm Optimization
Olawale Surajudeen Adebayo et al.
SECURITY AND COMMUNICATION NETWORKS (2019)
Android Malware Detection Using Genetic Algorithm based Optimized Feature Selection and Machine Learning
Anam Fatima et al.
2019 42ND INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP) (2019)
Robust Intelligent Malware Detection Using Deep Learning
R. Vinayakumar et al.
IEEE ACCESS (2019)
Rock strength estimation: a PSO-based BP approach
E. Tonnizam Mohamad et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Unsupervised feature extraction with autoencoder trees
Ozan Irsoy et al.
NEUROCOMPUTING (2017)
PIdroid: A novel Android malware detection system using ensemble learning methods
Fauzia Idrees et al.
COMPUTERS & SECURITY (2017)
A Matrix-Matrix Multiplication methodology for single/multi-core architectures using SIMD
Vasilios Kelefouras et al.
JOURNAL OF SUPERCOMPUTING (2014)
Pushdown model checking for malware detection
Fu Song et al.
INTERNATIONAL JOURNAL ON SOFTWARE TOOLS FOR TECHNOLOGY TRANSFER (2014)
An optimised product-unit neural network with a novel PSO-BP hybrid training algorithm: Applications to load-deformation analysis of axially loaded piles
A. Ismail et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2013)
A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach
Newton Spolaor et al.
ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE (2013)
On the computation of all global minimizers through particle swarm optimization
KE Parsopoulos et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2004)