Neural networks

biblio

Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Detection Models

Submitted by aekwall on Mon, 06/24/2019 - 2:43pm

Human behavior
Training
static analysis-based malware classifiers
Resiliency
pubcrawl
program diagnostics
pattern classification
Neural networks
Metrics
malware detection
malware classification accuracy
Malware Analysis
malware
learning (artificial intelligence)
Jacobian matrices
invasive software
adversarial attacks
Engines
Dynamic Malware Classification
dynamic analysis-based
deep learning-based systems
deep learning classification systems
deep learning
crafting adversarial samples
computer security
classification algorithm
anti-malware engine
anti-malware companies
adversarial neural malware detection models
adversarial learning-based attacks
adversarial learning

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

AppDNA: App Behavior Profiling via Graph-Based Deep Learning

Submitted by grigby1 on Mon, 06/10/2019 - 1:59pm

malicious apps
Task Analysis
Resiliency
pubcrawl
privacy
Plagiarism
pattern classification
Neural networks
mobile computing
mobile applications behaviors
Metrics
malware detection
malware classification
Malware Analysis
malware
app behavior profiling
machine learning
learning (artificial intelligence)
invasive software
Human behavior
graph-encoding method
graph-based deep learning
graph theory
function-call-graph-based app profiling
feature extraction
encoding
benign apps
AppDNA
app recommendation

biblio

Research of Classical Machine Learning Methods and Deep Learning Models Effectiveness in Detecting Anomalies of Industrial Control System

Submitted by grigby1 on Mon, 06/10/2019 - 1:56pm

resilience
machine learning algorithms
machine learning methods
modern industrial control systems
neural nets
Neural networks
privacy
production engineering computing
pubcrawl
machine learning
Resiliency
security
security of data
signal correlations
Support vector machines
Tennessee Eastman process simulation data
Training
Anomaly Detection
linear algorithms
learning (artificial intelligence)
industrial process anomaly detection task
industrial control
ICS security
ICs
Feeds
deep learning models
deep learning
Decision trees
Data processing
Cyber Attacks
control engineering computing
composability
anomaly detection evaluation dataset

biblio

Design and Implementation of a Fire Detection andControl System with Enhanced Security and Safety for Automobiles Using Neuro-Fuzzy Logic

Submitted by grigby1 on Wed, 05/01/2019 - 11:30am

Resiliency
ignition
integrated microcontroller-based hardware
Metrics
microcontrollers
modern automobiles
multisensor-based fire detection
Neural networks
neuro-fuzzy logic
neuro-fuzzy system
neurocontrollers
pubcrawl
resilience
Global Positioning System based vehicle tracking
road safety
road traffic control
security
security mechanisms
sensor fusion
software system
system submodules
traffic engineering computing
two-step ignition
vehicle architecture
vehicle tracking
vehicle tracking subsystem
engine control
alcoholdetection
anti-theft systems
Arduino Mega 2560
automobiles
biometric ignition
biometric ignition subsystem
C++11
central control unit
Control System
data fusion
efficiency 80 percent
efficiency 95 percent
alcohol detection
enhanced safety measures
enhanced security
Fingerprint recognition
fire detection
fire detection subsystem
Fires
fuzzy control
Fuzzy logic
fuzzy logiccontrol
fuzzy neural nets
Global Positioning System

biblio

Effective Botnet Detection Through Neural Networks on Convolutional Features

Submitted by grigby1 on Fri, 04/05/2019 - 10:23am

invasive software
Training
telecommunication traffic
Servers
Resiliency
resilience
pubcrawl
Peer-to-peer computing
Payloads
P2P botnet datasets
Neural networks
Network traffic classification
Metrics
machine learning
learning (artificial intelligence)
IP networks
botnet
internet
feedforward neural nets
feed-forward artificial neural network
feature extraction
DDoS Attacks
cybercrimes
convolutional neural networks
convolutional features
convolution
computer network security
Computer crime
Compositionality
botnets
botnet detection system
Botnet detection

biblio

Securing the Internet of Things and Wireless Sensor Networks via Machine Learning: A Survey

Submitted by aekwall on Mon, 03/25/2019 - 9:56am

physical devices
WSN security
wireless sensor networks
Support vector machines
sensor security
security threats
security of data
security
Resiliency
pubcrawl
Artificial Neural Networks
Neural networks
Metrics
machine learning algorithms
machine learning
learning (artificial intelligence)
IoT security
Internet of Things
Human behavior
composability

biblio

Time Series Forecasting by Evolving Deep Belief Network with Negative Correlation Search

Submitted by grigby1 on Wed, 03/06/2019 - 4:30pm

resilience
neural nets
neural network models
Neural networks
optimisation
optimization
policy-based governance
pubcrawl
random search
Negative correlation search
Resiliency
Scalability
search problems
time series
Time series analysis
time series datasets
time series forecasting
Training
forecasting theory
Bayesian optimization
belief networks
collaboration
composability
DBN
Deep Belief Network
derivative-free optimizer-negative correlation search
forecasting
Bayes methods
grid search
Human behavior
hyperparameters optimization
learning (artificial intelligence)
learning rates
Load modeling
Mathematical model
Metrics

biblio

Automatic Re-Topology and UV Remapping for 3D Scanned Objects Based on Neural Network

Submitted by grigby1 on Mon, 02/25/2019 - 3:19pm

pubcrawl
Human behavior
Scalability
Human Factors
Neural networks
Social Agents
3D reconstruction
re-topology
UV unwrap

biblio

A Comparative Study of Spam SMS Detection Using Machine Learning Classifiers

Submitted by aekwall on Mon, 02/25/2019 - 11:42am

Filtering
text messages
stylistic features
spam SMS detection
Spam SMS
smart phones
short message service
phones
machine learning classifiers
information filtering
filtering spam emails
detection
deep learning methods
content-based machine learning techniques
content based advertisement
CAP curve
Scalability
machine learning
spam messages
electronic messaging
Unsolicited electronic mail
spam detection
unsolicited e-mail
pattern classification
Neural networks
Metrics
pubcrawl
Human behavior
learning (artificial intelligence)
Classification algorithms
Bayes methods

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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

Neural networks

Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Detection Models

One-Shot Learning Approach for Unknown Malware Classification

AppDNA: App Behavior Profiling via Graph-Based Deep Learning

Research of Classical Machine Learning Methods and Deep Learning Models Effectiveness in Detecting Anomalies of Industrial Control System

Design and Implementation of a Fire Detection andControl System with Enhanced Security and Safety for Automobiles Using Neuro-Fuzzy Logic

Effective Botnet Detection Through Neural Networks on Convolutional Features

Securing the Internet of Things and Wireless Sensor Networks via Machine Learning: A Survey

Time Series Forecasting by Evolving Deep Belief Network with Negative Correlation Search

Automatic Re-Topology and UV Remapping for 3D Scanned Objects Based on Neural Network

A Comparative Study of Spam SMS Detection Using Machine Learning Classifiers