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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
feature extraction
biblio
A Multi-Classifier Framework for Open Source Malware Forensics
Submitted by
grigby1
on Mon, 07/01/2019 - 10:06am
automated manner
Bayes methods
computer network security
computer viruses
cyber attack pattern
Cyber Attacks
data cleaning
Data mining
Data models
ever-evolving threats
extensive pre-modeling techniques
feature extraction
future cyber threats
Gaussian Naive Bayes classifier
heuristics updates
invasive software
learning (artificial intelligence)
machine learning
machine learning algorithms
machine learning models
malware
malware analysis reports
malware attacks
malware forensics
manual analysis
multiclassifier framework
open source malware forensics
open source malware sandbox
pattern classification
pubcrawl
resilience
Resiliency
Scalability
Security Heuristics
security of data
traditional anti-virus technologies
Training
biblio
Static and Dynamic Malware Analysis Using Machine Learning
Submitted by
aekwall
on Mon, 06/24/2019 - 2:41pm
APIs
application program interfaces
Binary
Classification algorithms
cuckoo sandbox
Data mining
DLLs
dynamic analysis
Dynamic Malware Analysis
evade
feature extraction
Human behavior
Internet oriented machines security
invasive software
learning (artificial intelligence)
machine learning
malware
Malware Analysis
malwares
Metrics
obfuscate
PEFILE
pubcrawl
registry keys changed
Resiliency
static analysis
static malware analysis
summary information
biblio
A light-weight malware static visual analysis for IoT infrastructure
Submitted by
aekwall
on Mon, 06/24/2019 - 2:41pm
classification
Cloud Computing
feature extraction
Gray-scale
gray-scale image
Human behavior
hybrid global malware features
hybrid local malware features
image classification
image representation
Internet of Things
invasive software
IoT infrastructure
large-scale IoT malware
large-scale malware
light-weight malware static visual analysis
malware
Malware Analysis
malware attacks
malware family classification
malware image classification system
Metrics
microsoft windows
Microwave integrated circuits
MICS
pubcrawl
Resiliency
visualization
biblio
Intelligent Malware Detection Using Oblique Random Forest Paradigm
Submitted by
grigby1
on Mon, 06/10/2019 - 2:02pm
privacy
resilience
machine learning
pubcrawl
Human behavior
Metrics
feature extraction
invasive software
Trojan horses
learning (artificial intelligence)
Support vector machines
pattern classification
Decision trees
malware classification
Forestry
Resiliency
behavior-based detection techniques
classification accuracy
comprehensive malware detection
computerized online applications
decision tree learning models
false positive rate
intelligent malware detection
machine learning solutions
malware behavior
malware classification datasets
Oblique Random Forest
oblique random forest ensemble learning technique
oblique random forest paradigm
security community
signature-based detection techniques
stealthy malware
unknown malware
biblio
Comprehensive Behavior Profiling Model for Malware Classification
Submitted by
grigby1
on Mon, 06/10/2019 - 2:02pm
privacy
security
Computational modeling
resilience
pubcrawl
Human behavior
Metrics
feature extraction
Protocols
invasive software
malware
pattern classification
computer network security
telecommunication traffic
network security
Computers
Payloads
malware classification
Resiliency
appropriate countermeasures
behavior profiling models
complex activities
comprehensive behavior profiling model
malware classification method
malware network activities
malware variants
network behavior based classification methods
Network behavior profiling
partial network behavior
specific traffic selection
biblio
Malware Classification Using Deep Convolutional Neural Networks
Submitted by
grigby1
on Mon, 06/10/2019 - 2:01pm
privacy
resilience
feature extraction
Support vector machines
pubcrawl
Human behavior
Metrics
visualization
invasive software
convolutional neural networks
learning (artificial intelligence)
machine learning
malware
neural network
Correlation
support vector machine
image classification
image representation
object detection
convolutional neural network
malware classification
classification
Gray-scale
Resiliency
convolutional neural nets
accuracy levels
classifier
DCNN classification
deep convolutional neural networks
deep learning techniques
Hamming distance
image features
image type
improved image representation
learning models
malware binaries
malware images
Pattern recognition
support vector machine classifier training
transfer learning
visual patterns
biblio
Behavioral Malware Classification Using Convolutional Recurrent Neural Networks
Submitted by
grigby1
on Mon, 06/10/2019 - 2:01pm
privacy
resilience
pubcrawl
Human behavior
Metrics
feature extraction
Training
invasive software
malware
pattern classification
Prefetching
microsoft windows
Recurrent neural networks
Radio frequency
computer viruses
malware classification
Resiliency
recurrent neural nets
anti-virus systems
anti-virus vendor naming schemes
behavioral malware classification
behavioral malware classifiers
behavioral malware detection
convolutional neural nets
convolutional recurrent neural networks
Microsoft Windows Prefetch files
static signature
biblio
Andro-Simnet: Android Malware Family Classification Using Social Network Analysis
Submitted by
grigby1
on Mon, 06/10/2019 - 2:01pm
privacy
resilience
pubcrawl
Human behavior
Metrics
feature extraction
invasive software
machine learning
malware
pattern classification
mobile devices
Android (operating system)
mobile computing
Classification algorithms
Social network services
social networking (online)
Generators
malware classification
static analysis
Resiliency
detection algorithms
behavior-based detection
Andro-Simnet
Android malware family classification
efficient malware classification
graph visualization
high classification accuracy
k-fold cross-validation
malware dataset
malware family network aggregation
malware similarity
malwares attack behavior pattern
metamorphic malware
polymorphic malware
signature-based malware detection method
social network analysis
tactical characteristics
biblio
AppDNA: App Behavior Profiling via Graph-Based Deep Learning
Submitted by
grigby1
on Mon, 06/10/2019 - 1:59pm
app behavior profiling
app recommendation
AppDNA
benign apps
encoding
feature extraction
function-call-graph-based app profiling
graph theory
graph-based deep learning
graph-encoding method
Human behavior
invasive software
learning (artificial intelligence)
machine learning
malicious apps
malware
Malware Analysis
malware classification
malware detection
Metrics
mobile applications behaviors
mobile computing
Neural networks
pattern classification
Plagiarism
privacy
pubcrawl
Resiliency
Task Analysis
biblio
DLGraph: Malware Detection Using Deep Learning and Graph Embedding
Submitted by
grigby1
on Mon, 06/10/2019 - 1:59pm
application program interfaces
combined feature vector classification
deep learning
DLGraph
embedded systems
embedded vector
feature extraction
function-call graph
function-call graphs
graph embedding
graph theory
Human behavior
invasive software
learning (artificial intelligence)
Malware Analysis
malware detection
Metrics
microsoft windows
neural nets
noise reduction
pattern classification
privacy
pubcrawl
representation learning
Resiliency
SDA
softmax regression
stacked denoising autoencoders
static analysis
Trojan horses
Windows API calls
Windows application programming interface calls
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