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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
malware classification
biblio
A Novel Machine Learning Based Malware Detection and Classification Framework
Submitted by aekwall on Mon, 10/26/2020 - 12:13pm
complex malware types
Predictive Metrics
computer systems
Feature Selection
dynamic analysis
feature selection algorithms
machine learning models
classification accuracy
accurate malware detection
analysis report
classification framework
malware samples
fine-grained classification
high detection
malware analysis framework
malware files
minimum computation cost
selection module
signature-based malware detection techniques
system activities
time progresses
Training
invasive software
machine learning algorithms
feature extraction
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
Metrics
pattern classification
malware
machine learning
testing
privacy
Virtual machining
Malware Analysis
cuckoo sandbox
malware classification
malware detection
static and dynamic analysis
biblio
Malware Classification Using Byte Sequence Information
Submitted by grigby1 on Thu, 01/02/2020 - 2:45pm
CNN
deep learning
expert systems
Human behavior
malware classification
pubcrawl
resilience
Resiliency
Scalability
security
static analysis
biblio
A Novel Malware Analysis Framework for Malware Detection and Classification Using Machine Learning Approach
Submitted by aekwall on Mon, 06/24/2019 - 2:41pm
cuckoo sandbox
Human behavior
Malware Analysis
malware classification
malware detection
Metrics
pubcrawl
Resiliency
SMO
static and dynamic analysis
biblio
One-Shot Learning Approach for Unknown Malware Classification
Submitted by grigby1 on Mon, 06/10/2019 - 2:02pm
neural nets
Word2Vec
unknown malware classification
Training
Task Analysis
static analysis
Resiliency
resilience
pubcrawl
privacy
pattern classification
one-shot learning network
one-shot learning approach
One-shot learning
Neural Turing Machine
Neural networks
Adaptation models
network systems
natural language processing
Metrics
memory augmented neural network
malware classification
malware behavior
malware API calls sequence
malware
Least Recently Used Access
learning (artificial intelligence)
invasive software
intelligent protection systems
Human behavior
fewshot learning
API Sequence
biblio
Defending IT Systems against Intelligent Malware
Submitted by grigby1 on Mon, 06/10/2019 - 2:02pm
privacy
malware binaries
malware classification
malware detection
malware families
malware images
malware variants
Metrics
neural nets
Malware Analysis
pubcrawl
resilience
Resiliency
Signatures
static analysis
Training
unsupervised deep neural networks
adversarial examples
malware
machine learning algorithms
machine learning
learning (artificial intelligence)
IT systems
invasive software
intelligent malware
Human behavior
generative adversarial networks
generative adversarial network
Gallium nitride
dynamic analysis
Classification algorithms
ART
Antivirus Software vendors
biblio
Intelligent Malware Detection Using Oblique Random Forest Paradigm
Submitted by grigby1 on Mon, 06/10/2019 - 2:02pm
resilience
malware classification datasets
Metrics
Oblique Random Forest
oblique random forest ensemble learning technique
oblique random forest paradigm
pattern classification
privacy
pubcrawl
malware classification
Resiliency
security community
signature-based detection techniques
stealthy malware
Support vector machines
Trojan horses
unknown malware
behavior-based detection techniques
malware behavior
machine learning solutions
machine learning
learning (artificial intelligence)
invasive software
intelligent malware detection
Human behavior
Forestry
feature extraction
false positive rate
Decision trees
decision tree learning models
computerized online applications
comprehensive malware detection
classification accuracy
biblio
Malware Classification Using Machine Learning Algorithms
Submitted by grigby1 on Mon, 06/10/2019 - 2:02pm
malicious software
Support vector machines
stealing deleting sensitive data
scripts
Resiliency
resilience
pubcrawl
privacy
pattern classification
Metrics
Malware crisis
malware classification
malware
computer architecture
malicious programs
machine learning algorithms
learning (artificial intelligence)
invasive software
internet
Human behavior
huge virtual world
encrypting deleting sensitive data
Decision trees
Correlation
core computing functions
Conferences
biblio
Comprehensive Behavior Profiling Model for Malware Classification
Submitted by grigby1 on Mon, 06/10/2019 - 2:02pm
Metrics
telecommunication traffic
specific traffic selection
security
Resiliency
resilience
pubcrawl
Protocols
privacy
Payloads
pattern classification
partial network behavior
network security
Network behavior profiling
network behavior based classification methods
appropriate countermeasures
malware variants
malware network activities
malware classification method
malware classification
malware
invasive software
Human behavior
feature extraction
Computers
computer network security
Computational modeling
comprehensive behavior profiling model
complex activities
behavior profiling models
biblio
Classifying Malware Using Convolutional Gated Neural Network
Submitted by grigby1 on Mon, 06/10/2019 - 2:01pm
malware classification
Task Analysis
Resiliency
resilience
Recurrent neural networks
recurrent neural nets
pubcrawl
privacy
pattern classification
neural network
microsoft malware classification challenge
Metrics
malware detection
CNN
malware
malicious software
machine learning
Logic gates
invasive software
information technology society
Human behavior
Gated Recurrent Unit
feedforward neural nets
Deep Neural Network
convolutional neural networks
convolutional gated recurrent neural network model
biblio
Malware Classification with Deep Convolutional Neural Networks
Submitted by grigby1 on Mon, 06/10/2019 - 2:01pm
learning (artificial intelligence)
Support vector machines
Resiliency
resilience
pubcrawl
privacy
Microsoft malware
Metrics
malware classification
malware binaries
malware
Malimg malware
machine learning approaches
machine learning
Learning systems
challenging malware classification datasets
invasive software
image classification
Human behavior
grayscale images
Gray-scale
feedforward neural nets
deep learning framework
deep learning approach
deep learning
deep convolutional neural networks
convolutional neural networks
convolution
computer architecture
CNN
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