learning (artificial intelligence)

biblio

A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data

Submitted by grigby1 on Fri, 08/28/2020 - 2:53pm

sampling
pattern classification
Performance Metrics
Precision-Recall Curve
Predictive models
pubcrawl
Radio frequency
resilience
Resiliency
minority classes
sampling distribution ratio
sampling methods
Scalability
severe class imbalance
severely imbalanced network security big data
Sparks
testing dataset roles
Training
Data mining
Apache Spark framework
area under the receiver operating characteristic curve
Big Data
Big Data Analytics
big data security metrics
Cluster Computing
computer network security
data analysis
apache spark
Geometric Mean
imbalanced data
learning (artificial intelligence)
machine learning
majority class
Measurement
metrics testing
Metrics

biblio

Secure Pattern-Based Data Sensitivity Framework for Big Data in Healthcare

Submitted by grigby1 on Fri, 08/28/2020 - 2:34pm

resilience
big data security in the cloud
special big data analytics methods
Sensitivity
sensitive information protection
secure pattern-based data sensitivity framework
patient data
healthcare data
Hadoop distributed file system
Hadoop
Elliptic curves
electronic medical records
data frequency
big data technologies
Scalability
information retrieval
Cryptography
electronic health records
Metrics
parallel processing
Data protection
Big Data
health care
Medical services
Access Control
Resiliency
pubcrawl
Distributed databases
data analysis
security
learning (artificial intelligence)
encryption

biblio

Continuous and Adaptive Learning over Big Streaming Data for Network Security

Submitted by grigby1 on Fri, 08/28/2020 - 2:33pm

learning setup
telecommunication traffic
Stream Machine Learning
security
Scalability
Resiliency
resilience
pubcrawl
off-the-shelf stream learning approaches
network traffic monitoring
network security
network attacks
microsoft windows
Metrics
machine learning algorithms
machine learning
Adaptation models
learning model
learning (artificial intelligence)
Dynamic Networks and Security
Data models
continual learning
computer network security
composability
big-data
big streaming data
big data security in the cloud
Big Data analytics platform
Big Data
analysis tasks
adaptive learning models
adaptive learning

biblio

Accurate Marking Method of Network Attacking Information Based on Big Data Analysis

Submitted by grigby1 on Fri, 08/28/2020 - 2:33pm

resilience
network attack detection ability
network attack information nodes
network attack nodes
network attacking information
network offensive information
network security defense
open network environment
pubcrawl
Network
Resiliency
Scalability
security of data
smart cities
task scheduling method
telecommunication scheduling
Transportation
big data security in the cloud
accurate marking method
adaptive learning model
attack
attack information chain
attack information tagging
Big Data
Big Data analysis method
Big Data fusion tracking recognition
Chained Attacks
Cloud Computing
computer network security
Conferences
data analysis
information marking
learning (artificial intelligence)
Metrics

biblio

NO-DOUBT: Attack Attribution Based On Threat Intelligence Reports

Submitted by grigby1 on Fri, 08/28/2020 - 11:23am

Metrics
Training
threat intelligence reports
threat intelligence
threat actors
text representation algorithm
text analysis
Text
Task Analysis
security literature
security analytics
security
pubcrawl
NLP
natural language processing
Information Reuse and Security
malware
machine learning algorithms
machine learning
learning (artificial intelligence)
invasive software
Human behavior
feature extraction
composability
classification
attribution
attack attribution
Resiliency
Compositionality

biblio

Classifying Fake News Articles Using Natural Language Processing to Identify In-Article Attribution as a Supervised Learning Estimator

Submitted by grigby1 on Fri, 08/28/2020 - 11:23am

news article
information accuracy
key linguistic characteristics
learning (artificial intelligence)
Linguistics
machine learning
mainstream media platforms
Media
Metrics
natural language processing
Influence Mining
pattern classification
pubcrawl
radio news
resultant process precision
social media conduits
social media platforms
social networking (online)
supervised learning estimator
tools
fake news articles
Attribution Classification
Bayes methods
Bayesian machine learning system
classifier performance
component
composability
deceptive content
Decision Making
fake news
attribution
fake news classifier
fake news detector
fake news identification study
fake news stories
feature extraction
Grammar
Human behavior
in-article attribution

biblio

Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms

Submitted by aekwall on Mon, 08/24/2020 - 12:51pm

Human Factors
big data privacy
privacy-preserving medical data training
privacy-preserving deep learning computation
medical platforms
local platforms
hidden layers
geo-distributed medical Big-data platforms
distributed deep learning framework
privacy preserving
Medical Big Data
Biomedical imaging
medical information systems
Scalability
deep learning
Training
Metrics
Computational modeling
pubcrawl
Resiliency
learning (artificial intelligence)
Data models
data privacy
Big Data
Servers

biblio

Privacy-Preserving Deep Learning Models for Law Big Data Feature Learning

Submitted by aekwall on Mon, 08/24/2020 - 12:50pm

law Big data feature learning
social networks
social networking (online)
Servers
Scalability
Resiliency
pubcrawl
privacy-preserving feature learning
privacy-preserving deep learning models
privacy
neural nets
Metrics
learning (artificial intelligence)
Big Data
Knowledge extraction
IoT
Internet of Things
Human Factors
Homomorphic encryption
differential privacy
deep learning
data privacy
Data models
Cryptography
big data privacy

biblio

Fraud Detection using Machine Learning and Deep Learning

Submitted by aekwall on Mon, 08/24/2020 - 12:37pm

credit card
Europe
Forestry
Credit cards
area under the ROC curve
Australian dataset
autoencoder
benchmark multiple machine learning methods
Boltzmann machines
cost of failure
financial data processing
data mining techniques
Deep belief networks
EU
European dataset
German dataset
k nearest neighbor
Matthews correlation coefficient
restricted boltzmann machine
security checks
pattern classification
Support vector machines
support vector machine
learning (artificial intelligence)
machine learning
Random Forest
Resiliency
pubcrawl
composability
deep learning
Data models
convolutional neural nets
deep learning methods
Data mining
convolutional neural networks
Artificial Neural Networks
belief networks
fraud
fraud detection

biblio

Hybrid Model for Web Application Vulnerability Assessment Using Decision Tree and Bayesian Belief Network

Submitted by aekwall on Mon, 08/24/2020 - 12:37pm

feature extraction
Web application vulnerability assessment
vulnerability assessment
security of data
Resiliency
pubcrawl
machine learning algorithms
machine learning
logical Web pages
learning (artificial intelligence)
internet
hybrid model
Bayes methods
Entropy
Decision trees
Decision Tree
consumer relationship
composability
Classification algorithms
business process
business data processing
belief networks
Bayesian Belief Network (BBN)
Bayesian belief network

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Cyber-Physical Systems Virtual Organization

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

learning (artificial intelligence)

A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data

Secure Pattern-Based Data Sensitivity Framework for Big Data in Healthcare

Continuous and Adaptive Learning over Big Streaming Data for Network Security

Accurate Marking Method of Network Attacking Information Based on Big Data Analysis

NO-DOUBT: Attack Attribution Based On Threat Intelligence Reports

Classifying Fake News Articles Using Natural Language Processing to Identify In-Article Attribution as a Supervised Learning Estimator

Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms

Privacy-Preserving Deep Learning Models for Law Big Data Feature Learning

Fraud Detection using Machine Learning and Deep Learning

Hybrid Model for Web Application Vulnerability Assessment Using Decision Tree and Bayesian Belief Network