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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
malware classification
biblio
Adversarial Examples Against Image-based Malware Classification Systems
Submitted by grigby1 on Thu, 10/29/2020 - 11:13am
learning (artificial intelligence)
visualization
Robustness
Resiliency
resilience
pubcrawl
privacy
Perturbation methods
Metrics
malware files
malware classification
malware
mal-ware classification techniques
machine learning
adversarial attack
invasive software
image-based malware classification systems
image classification
Human behavior
DL-based classification systems
data visualisation
convolutional neural networks
convolutional neural network malware classifiers
convolutional neural nets
convolution neural network
computer vision
adversarial attacks
biblio
Text Mining for Malware Classification Using Multivariate All Repeated Patterns Detection
Submitted by grigby1 on Thu, 10/29/2020 - 11:12am
privacy
Metrics
mobile computing
mobile devices
Mobile handsets
mobile phones
mobile users
multivariate all repeated pattern detection
Payloads
malware family classification
pubcrawl
randomly selected malware applications
resilience
Resiliency
smart phones
smartphone users
Social network services
Text Mining
invasive software
Androids
ARPaD
bank accounts
cyber criminals
Data mining
Human behavior
Humanoid robots
internet
Android Malware Detection
legitimate application
LERP-RSA
malware
malware classification
malware dataset
malware detection
malware families
biblio
Robustness Analysis of CNN-based Malware Family Classification Methods Against Various Adversarial Attacks
Submitted by grigby1 on Thu, 10/29/2020 - 11:12am
image-based classification methods
security
Robustness
Resiliency
resilience
pubcrawl
privacy
Microsoft malware dataset
Metrics
malware family classification
malware classification
malware
invasive software
input image
imperceptible nonrandom perturbations
adversarial attacks
image colour analysis
Image color analysis
image classification
Human behavior
feature extraction
convolutional neural networks
convolutional neural network-based malware family classification methods
convolutional neural nets
Conferences
CNN-based malware family classification method
CNN-based classification methods
Analytical models
adversarial example
biblio
Towards Efficient Malware Detection and Classification using Multilayered Random Forest Ensemble Technique
Submitted by grigby1 on Thu, 10/29/2020 - 11:12am
malware authors
Vision-based malware analysis
traditional malware
Resiliency
resilience
pubcrawl
privacy
pattern classification
multilayered random forest ensemble technique
microsoft windows
Metrics
malware patterns
malware images
malware detection
malware classification
Adaptation models
malware
learning (artificial intelligence)
invasive software
hybrid model
Human behavior
Gray-scale
Forestry
feature extraction
Ensemble forest
deep neural networks
deep learning models
cyber security
Computational modeling
biblio
Convolutional Neural Networks as Classification Tools and Feature Extractors for Distinguishing Malware Programs
Submitted by grigby1 on Thu, 10/29/2020 - 11:11am
malware detection
visualization
Training
testing
SVM
Support vector machines
support vector machine
Resiliency
resilience
pubcrawl
privacy
pattern classification
nearest neighbour methods
microsoft malware classification challenge
Metrics
malware programs
anti-malware industry
malware classification
malware
learning (artificial intelligence)
KNN
k-nearest neighbors
invasive software
Human behavior
feature extractors
feature extraction
convolutional neural networks
convolutional neural nets
computer architecture
computationally efficient CNN-based architecture
CNN based algorithms
classification tools
biblio
Malware Classification System Based on Machine Learning
Submitted by grigby1 on Thu, 10/29/2020 - 11:11am
malware
static analysis
Resiliency
resilience
pubcrawl
privacy
pattern classification
multifeature selection fusion
Metrics
malware classification system
malware classification
Classification system
machine learning
Libraries
learning (artificial intelligence)
invasive software
Human behavior
high-efficiency automatic classification system
Feature Selection
feature extraction
Entropy
biblio
Malware Classification Using Machine Learning Algorithms and Tools
Submitted by grigby1 on Thu, 10/29/2020 - 11:10am
malware
tools
Support vector machines
Resiliency
resilience
Random Forest
pubcrawl
privacy
pattern classification
Metrics
matrix algebra
malware samples
malware classification
Classification algorithms
machine learning algorithms
machine learning
learning (artificial intelligence)
invasive software
Human behavior
feature extraction
family classification
emerging malwares
confusion matrix
comparative classification
comparable features
Cohen's Kappa
biblio
Image-Based Unknown Malware Classification with Few-Shot Learning Models
Submitted by grigby1 on Thu, 10/29/2020 - 11:10am
malware types
well-known models
Resiliency
resilience
pubcrawl
Prototypical Networks
proper defense policies
privacy
pattern classification
network system
microsoft malware classification challenge
Microsoft Malware Classification
Metrics
Matching Networks
massive benefit
automatic protection systems
malware samples
malware research
malware datasets
malware classification problems
malware classification
malware attacks
MalImg
machine learning area
learning (artificial intelligence)
invasive software
image-based unknown malware classification
Human behavior
few-shot learning models
few shot learning
biblio
An Xception Convolutional Neural Network for Malware Classification with Transfer Learning
Submitted by grigby1 on Thu, 10/29/2020 - 11:10am
Microsoft malware dataset
Xception model
Xception convolutional neural network
Xception
VGG16 model
transfer learning
Training
testing
Support vector machines
special CNN architecture
Resiliency
resilience
pubcrawl
privacy
Predictive models
pattern classification
CNN models
Metrics
malware image classification
malware classification problem
malware classification
malware
learning (artificial intelligence)
invasive software
image-based malware classification
image classification
Human behavior
Gray-scale
feature extraction
ensemble model
convolutional neural network (CNN)
convolutional neural nets
biblio
Android Malware Family Classification Based on Sensitive Opcode Sequence
Submitted by grigby1 on Thu, 10/29/2020 - 11:09am
malware classification
sensitive semantic feature-sensitive opcode sequence
sensitive opcode
sensitive API
semantic related vector
Semantic
Resiliency
resilience
pubcrawl
privacy
pattern classification
oversampling technique
multiple class classification
mobile computing
Metrics
Android (operating system)
learning (artificial intelligence)
invasive software
Human behavior
feature extraction
family classification
Drebin dataset
Digital Forensics
code specific semantic information
application program interfaces
Android malware forensics
Android malware family classification model
Android Malware Detection
Android malware analysis
Android malware
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