learning (artificial intelligence)

biblio

A Compositionality Assembled Model for Learning and Recognizing Emotion from Bodily Expression

Submitted by aekwall on Mon, 11/02/2020 - 2:29pm

adaptive learning techniques
single components
RNN learning
real-time emotion recognition
nonlinear dynamic bifurcation
internal emotional state
human body expression
hierarchical recurrent neural learning framework
hierarchical model
express our internal status
compositionality principle
compositionality hypothesis
bodily presentation
bodily expression
bifurcation
Adaptation models
adaptive learning
emotion recognition
Computing Theory and Compositionality
Compositionality
Human Factors
Recurrent neural networks
recurrent neural nets
robots
Training
Neurons
pubcrawl
Human behavior
machine learning
learning (artificial intelligence)

biblio

A Security System Using Deep Learning Approach for Internet of Vehicles (IoV)

Submitted by grigby1 on Mon, 11/02/2020 - 12:09pm

pubcrawl
Unsupervised Learning
supervised learning
spectrum utilization
Smart Spectrum Utilization
smart offices
Smart Environments
smart cities
security threats
security of data
secure applications
Resiliency
resilience
reliable services
reliable communication services
connected vehicles
neural nets
mobile computing
Metrics
learning (artificial intelligence)
IoV security system
IoT
Internet of Vehicles
Internet of Things
Human Factors
deep learning methodology
deep learning approach
deep learning
critical V2X infrastructures deployment
connected vehicles communication

biblio

PREEMPT: PReempting Malware by Examining Embedded Processor Traces

Submitted by grigby1 on Fri, 10/30/2020 - 12:19pm

learning (artificial intelligence)
zero overhead
tools
software-based AVS
security
Scalability
real-time systems
pubcrawl
program debugging
processor traces
PREEMPT malware
post-silicon validation
malware detection
malware
machine learning-based classifiers
low-latency technique
anti-virus software tools
invasive software
i-o systems security
I-O Systems
HPC
hardware-level observations
Hardware performance counters
Hardware
ETB
embedded trace buffer
embedded systems
embedded processor traces
debug hardware component
Databases
computer viruses

biblio

Physical Unclonable Function-Based Key Sharing via Machine Learning for IoT Security

Submitted by grigby1 on Fri, 10/30/2020 - 12:15pm

Protocols
lightweight security primitive
lookup table
LUT
machine learning
machine learning (ML)
one-to-one input-output mapping
Physical Unclonable Function
physical unclonable function (PUF)
physical unclonable function-based key sharing
private key cryptography
lightweight key sharing protocols
pubcrawl
PUF-based key sharing method
resource-constrained devices
Ring Oscillator
Scalability
security
security protocols
shared key
silicon physical unclonable function
Table lookup
I-O Systems
battery power
chip fabrication process
chip-unique key
computer network security
copy protection
crossover RO PUF
Cryptographic Protocols
Cryptography
delays
device authentication
authentication
i-o systems security
industry Internet of Things
Internet of Things
interstage crossing structure
Inverters
IoT security
key generation
Key-sharing
learning (artificial intelligence)

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

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

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Cyber-Physical Systems Virtual Organization

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

learning (artificial intelligence)

A Compositionality Assembled Model for Learning and Recognizing Emotion from Bodily Expression

A Security System Using Deep Learning Approach for Internet of Vehicles (IoV)

PREEMPT: PReempting Malware by Examining Embedded Processor Traces

Physical Unclonable Function-Based Key Sharing via Machine Learning for IoT Security

Adversarial Examples Against Image-based Malware Classification Systems

Towards Efficient Malware Detection and Classification using Multilayered Random Forest Ensemble Technique

Convolutional Neural Networks as Classification Tools and Feature Extractors for Distinguishing Malware Programs

Malware Classification System Based on Machine Learning

Malware Classification Using Machine Learning Algorithms and Tools

Image-Based Unknown Malware Classification with Few-Shot Learning Models