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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
malware detection
biblio
An Effective Ensemble Deep Learning Framework for Malware Detection
Submitted by
aekwall
on Mon, 10/07/2019 - 10:43am
Resiliency
pubcrawl
composability
Ransomware
Metrics
malware detection
Ensemble Method
Residual Convolutional Neural Network
biblio
Static and Dynamic Analysis of Third Generation Cerber Ransomware
Submitted by
aekwall
on Mon, 10/07/2019 - 10:42am
Big Data
Cerber
composability
Computer crime
criminal justice
Cryptography
cyber criminals
cyber terrorism
deep learning
economical scumming
encryption
invasive software
malicious ransomware software
malware
malware detection
Metrics
official databases
political power
pubcrawl
Ransomware
Resiliency
social power
technical analysis
third generation cerber ransomware
biblio
Attention in Recurrent Neural Networks for Ransomware Detection
Submitted by
aekwall
on Mon, 10/07/2019 - 10:42am
attention mechanisms
composability
computer architecture
computer security
deep learning
deep learning methods
invasive software
learning (artificial intelligence)
Logic gates
Long short-term memory
LSTM
LSTM models
malicious software
malware detection
Metrics
Microprocessors
organizational level
pubcrawl
Ransomware
ransomware attacks
ransomware detection
ransomware executables
ransomware sequences
recurrent neural nets
Recurrent neural networks
Resiliency
user access
Windows environment
biblio
Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Detection Models
Submitted by
aekwall
on Mon, 06/24/2019 - 1:43pm
adversarial attacks
adversarial learning
adversarial learning-based attacks
adversarial neural malware detection models
anti-malware companies
anti-malware engine
classification algorithm
computer security
crafting adversarial samples
deep learning
deep learning classification systems
deep learning-based systems
dynamic analysis-based
Dynamic Malware Classification
Engines
Human behavior
invasive software
Jacobian matrices
learning (artificial intelligence)
malware
Malware Analysis
malware classification accuracy
malware detection
Metrics
Neural networks
pattern classification
program diagnostics
pubcrawl
Resiliency
static analysis-based malware classifiers
Training
biblio
A Novel Malware Analysis Framework for Malware Detection and Classification Using Machine Learning Approach
Submitted by
aekwall
on Mon, 06/24/2019 - 1:41pm
cuckoo sandbox
Human behavior
Malware Analysis
malware classification
malware detection
Metrics
pubcrawl
Resiliency
SMO
static and dynamic analysis
biblio
Defending IT Systems against Intelligent Malware
Submitted by
grigby1
on Mon, 06/10/2019 - 1:02pm
adversarial examples
Antivirus Software vendors
ART
Classification algorithms
dynamic analysis
Gallium nitride
generative adversarial network
generative adversarial networks
Human behavior
intelligent malware
invasive software
IT systems
learning (artificial intelligence)
machine learning
machine learning algorithms
malware
Malware Analysis
malware binaries
malware classification
malware detection
malware families
malware images
malware variants
Metrics
neural nets
privacy
pubcrawl
resilience
Resiliency
Signatures
static analysis
Training
unsupervised deep neural networks
biblio
Classifying Malware Using Convolutional Gated Neural Network
Submitted by
grigby1
on Mon, 06/10/2019 - 1:01pm
CNN
convolutional gated recurrent neural network model
convolutional neural networks
Deep Neural Network
feedforward neural nets
Gated Recurrent Unit
Human behavior
information technology society
invasive software
Logic gates
machine learning
malicious software
malware
malware classification
malware detection
Metrics
microsoft malware classification challenge
neural network
pattern classification
privacy
pubcrawl
recurrent neural nets
Recurrent neural networks
resilience
Resiliency
Task Analysis
biblio
AppDNA: App Behavior Profiling via Graph-Based Deep Learning
Submitted by
grigby1
on Mon, 06/10/2019 - 12:59pm
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 - 12:59pm
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
biblio
Identification of Distributed Malware
Submitted by
grigby1
on Mon, 06/10/2019 - 12:59pm
android
Android malware
Android system
attackers
botnets
computer malware
computer viruses
distributed direction
distributed malware
fully functional portable computers
generic viruses
Google
graph matching algorithm
graph theory
Human behavior
inholding multiple applications
Labeling
malware
Malware Analysis
malware detection
malware prevention
malware writers
Metrics
mobile computing
Mobile handsets
multiple anti-virus apps
open source platform
personal data
privacy
pubcrawl
public domain software
Resiliency
security
Servers
simple worms
smart phones
smartphone revolution
sophisticated DDOS
static analysis
technological complexities increase
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