Prediction algorithms

biblio

An Analytical Framework for Security-Tuning of Artificial Intelligence Applications Under Attack

Submitted by grigby1 on Thu, 08/13/2020 - 4:07pm

artificial intelligence applications
artificial intelligence security
signal classification
security-tuning
perturbation attack
parameters tuning
ML parameters
ML experts
ML algorithms
medical signal processing
k-nearest neighbors algorithm
input data perturbation attack
electroencephalography
electroencephalogram signals
EEG dataset
data classification
learning (artificial intelligence)
analytical framework
AI application
classification accuracy
tuning
testing
Prediction algorithms
Perturbation methods
machine learning algorithms
optimization
pubcrawl
Artificial Intelligence
security
machine learning
security of data

biblio

Intelligence Slicing: A Unified Framework to Integrate Artificial Intelligence into 5G Networks

Submitted by grigby1 on Thu, 08/13/2020 - 4:07pm

advanced radio transmission
artificial intelligence security
wireless networks
transmitting antennas
networking techniques
mobile networks
MIMO communication
Intelligence slices
industrial network security
fifth-generation networks
channel prediction
autonomous network management
artificial intelligence technology
AI module
AI algorithms
security
5G networks
network infrastructure
neural network
wireless channels
Task Analysis
resource allocation
Prediction algorithms
telecommunication network management
telecommunication computing
5G mobile communication
telecommunication security
pubcrawl
Artificial Intelligence

biblio

A Differential Privacy Random Forest Method of Privacy Protection in Cloud

Submitted by aekwall on Mon, 06/22/2020 - 10:19am

Decision trees
random forest classification algorithm
random forest algorithm
hybrid decision tree algorithm
high privacy protection
high classification performance
differential privacy random forest method
differential privacy protection
Forestry
classification accuracy
privacy protection
differential privacy
Cloud Computing
Prediction algorithms
pattern classification
privacy
composability
pubcrawl
Human behavior
Resiliency
Random Forest
Classification algorithms
data privacy
Scalability

biblio

K-Nearest Neighbors and Grid Search CV Based Real Time Fault Monitoring System for Industries

Submitted by grigby1 on Fri, 05/22/2020 - 1:23pm

model-based techniques
flask
graphical user interface (GUI)
grid search cross validation
grid search CV
induction machine
Induction machines
K-Nearest Neighbors (KNN)
KNN
knowledge-based approach
Feature Selection
Python
python web framework
real time fault monitoring
signature extraction-based approach
Statistics
time fault monitoring system
user friendly interface
nearest neighbor search
nearest neighbour methods
pubcrawl
Circuit faults
Data models
internet
Industries
production engineering computing
Classification algorithms
Metrics
Measurement
grid search
Prediction algorithms
k-nearest neighbors
user interfaces
condition monitoring (CM)
cross validation (CV)
fault detection
fault detection techniques
fault diagnosis

biblio

An Adaptive Routing Scheme Based on Q-learning and Real-time Traffic Monitoring for Network-on-Chip

Submitted by grigby1 on Fri, 05/15/2020 - 11:44am

Monitoring
traffic monitoring
traffic load congestion
telecommunication traffic
Routing
real-time systems
real-time
q-learning
Prediction algorithms
performance optimization
packet transmission
optimisation
NoC
network-on-chip
network routing
network congestion
network on chip security
monitor
learning (artificial intelligence)
Heuristic algorithms
DyXY routing
dynamical routing schemes
dynamical routing
dynamical Q-learning routing approach
computer architecture
C-XY routing
adaptive routing scheme
Metrics
Resiliency
resilience
Scalability

biblio

Network Intrusion Detection Using Improved Genetic k-means Algorithm

Submitted by aekwall on Mon, 05/11/2020 - 10:12am

k-means++ algorithm
Training
Time complexity
Resiliency
pubcrawl
Prediction algorithms
personal privacy theft
pattern clustering
Partitioning algorithms
network intrusion detection
network intrusion
Metrics
KDD-99 dataset
KDD-99
Clustering algorithms
intrusion detection system
Intrusion Detection
internet
IGKM algorithm
IGKM
Genetics
genetic k-means algorithm
genetic algorithms
data privacy
computer network security
computer network
composability

biblio

Security Situation Prediction based on Hybrid Rice Optimization Algorithm and Back Propagation Neural Network

Submitted by grigby1 on Fri, 05/08/2020 - 1:54pm

evolutionary computation
Neural Network Security
security situation prediction
Neurons
network security situation awareness
hybrid rice optimization algorithm
HRO
Evolutionary algorithms
BP Neural Network
BP network security posture prediction method
backpropagation neural network
Backpropagation
Biological neural networks
security of data
Prediction algorithms
optimisation
Metrics
neural nets
Communication networks
optimization
Resiliency
resilience
policy-based governance
pubcrawl
security
collaboration

biblio

Analysis of Key Randomness in Improved One-Time Pad Cryptography

Submitted by aekwall on Mon, 03/23/2020 - 12:20pm

random numbers
random key generation
true random number generator
shuffling algorithm
random keys
Psuedo Random Number Generator
perfect secrecy algorithm
Pearson correlation analysis
one-time pad cryptography
one-time pad
key randomness
key generation
Fisher-Yates shuffling algorithm
Fisher-Yates algorithm
Scalability
OTP
Ciphers
correlation methods
Mice
random number generation
Generators
Prediction algorithms
Metrics
pubcrawl
Human behavior
Resiliency
encryption
Cryptography

biblio

Virtual Machine Failure Prediction Method Based on AdaBoost-Hidden Markov Model

Submitted by grigby1 on Mon, 03/09/2020 - 12:25pm

Predictive models
VM security state
VM failure state
Virtual machining
virtual machines
virtual machine security
virtual machine failure prediction method
virtual machine
Upper bound
software fault tolerance
security
pubcrawl
AdaBoost-hidden Markov model
predictive ability
Prediction algorithms
observation state
learning (artificial intelligence)
hidden state
Hidden Markov models
hidden Markov model
Failure Prediction
cloud platform environment
Cloud Computing

biblio

Test4Deep: An Effective White-Box Testing for Deep Neural Networks

Submitted by grigby1 on Tue, 02/18/2020 - 10:52am

Neurons
white-box testing framework
white box testing
white box cryptography
testing
Test4Deep
test cases
Software
Resiliency
resilience
pubcrawl
program testing
Prediction algorithms
optimization
Biological neural networks
neuron coverage
neural nets
multiple DNNs
Metrics
machine learning
learning (artificial intelligence)
generated test inputs
DNNs
diversity
DeepXplore
deep neural networks
Deep Learning testing
composability

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Cyber-Physical Systems Virtual Organization

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

Prediction algorithms

An Analytical Framework for Security-Tuning of Artificial Intelligence Applications Under Attack

Intelligence Slicing: A Unified Framework to Integrate Artificial Intelligence into 5G Networks

A Differential Privacy Random Forest Method of Privacy Protection in Cloud

K-Nearest Neighbors and Grid Search CV Based Real Time Fault Monitoring System for Industries

An Adaptive Routing Scheme Based on Q-learning and Real-time Traffic Monitoring for Network-on-Chip

Network Intrusion Detection Using Improved Genetic k-means Algorithm

Security Situation Prediction based on Hybrid Rice Optimization Algorithm and Back Propagation Neural Network

Analysis of Key Randomness in Improved One-Time Pad Cryptography

Virtual Machine Failure Prediction Method Based on AdaBoost-Hidden Markov Model

Test4Deep: An Effective White-Box Testing for Deep Neural Networks