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Bibliographies
49
1
Memory Layout Extraction and Verification Method for Reliable Physical Memory Acquisition
2
Is eval () Evil : A study of JavaScript in PDF malware
3
Nodes Availability Analysis of NB-IoT Based Heterogeneous Wireless Sensor Networks under Malware Infection
4
Malware forensics: Discovery of the intent of deception
5
A multi-level deep learning system for malware detection
6
A hybrid deep learning image-based analysis for effective malware detection
7
Deep learning in drebin: Android malware image texture median filter analysis and detection
8
A deep learning approach to Malware detection in android platform
9
Efficient dynamic malware analysis for collecting HTTP requests using deep learning
10
Deep Learning Framework and Visualization for Malware Classification
11
A robust malware detection system using deep learning on API calls
12
A multimodal deep learning method for android malware detection using various features
13
Malware detection based on deep learning algorithm
14
Mobile malware detection: An analysis of deep learning model
15
An Android mutation malware detection based on deep learning using visualization of importance from codes
16
Deep and Broad Learning Based Detection of Android Malware via Network Traffic
17
DLGraph: Malware Detection Using Deep Learning and Graph Embedding
18
MalDeep: A Deep Learning Classification Framework against Malware Variants Based on Texture Visualization
19
Evading Anti-Malware Engines with Deep Reinforcement Learning
20
Robust Intelligent Malware Detection Using Deep Learning
21
Deep learning for effective Android malware detection using API call graph embeddings
22
Malware Detection Based on Deep Learning of Behavior Graphs
23
Explaining vulnerabilities of deep learning to adversarial malware binaries
24
DeepMal4J: Java malware detection employing deep learning
25
Comparison of Three Deep Learning-based Approaches for IoT Malware Detection
26
An effective ensemble deep learning framework for malware detection
27
Deep Learning Approach to Malware Multi-class Classification Using Image Processing Techniques
28
Combination of Traditional and Deep Learning based Architectures to Overcome Class Imbalance and its Application to Malware Classification
29
Android malware detection based on deep learning
30
DeepMalNet: Evaluating shallow and deep networks for static PE malware detection
31
Deep Belief Networks-based framework for malware detection in Android systems
32
Delving into Android Malware Families with a Novel Neural Projection Method
33
Detecting Malware with an Ensemble Method Based on Deep Neural Network
34
Security implications of running windows software on a Linux system using Wine: a malware analysis study
35
Comprehensive review and analysis of anti-malware apps for smartphones
36
Blockchain-based malware detection method using shared signatures of suspected malware files
37
Malware detection in mobile environments based on Autoencoders and API-images
38
Trends of malware influence on the integrated IT security systems at critical infrastructure objects
39
A novel method for malware detection on ML-based visualization technique
40
AI-HydRa: Advanced hybrid approach using random forest and deep learning for malware classification
41
behavior intention derivation of android malware using ontology inference
42
Cryptocurrency malware hunting: A deep Recurrent Neural Network approach
43
behavior-driven development in malware analysis
44
detecting android malwares with high-efficient hybrid analyzing methods
45
Using network traffic analysis deep learning based Android malware detection
46
Comparative analysis of word vectoring methods for malware detection
47
Analyzing performance of machine learning algorithms for malware detection in big data platforms
48
Android Malware Detection Using Machine Learning
49
Comparison of Regression Methods in Permission Based Android Malware Detection