data handling

biblio

A Learning-based Data Augmentation for Network Anomaly Detection

Submitted by aekwall on Mon, 03/29/2021 - 11:58am

security of data
Scalability
Data models
Support vector machines
learning (artificial intelligence)
machine learning
Resiliency
pubcrawl
neural nets
pattern classification
Anomaly Detection
network traffic
Generators
generative adversarial networks
generative adversarial network
Predictive Metrics
data handling
Gallium nitride
sampling methods
class imbalance problem
network anomaly detection
attack instances
augments data
data augmentation
data instances
Divide-Augment-Combine
divide-augment-combine strategy
generative adversarial model
high-quality data
learning-based data augmentation
network traffic traces
public network datasets
statistical sampling
synthetic instances
Generative Adversarial Learning

biblio

A service-oriented adaptive anonymity algorithm

Submitted by grigby1 on Thu, 01/28/2021 - 1:59pm

Adaptation models
anonymity
anonymity group partition process
anonymized data
anonymous results
attribute value distribution
attribute values distribution
composability
contribution value differences
data handling
data privacy
dispersion
distribution characteristics
Human behavior
Internet of Things
k-anonymity
K-anonymity algorithms
Metrics
Partitioning algorithms
privacy
privacy preservation
privacy-preserving data publishing
pubcrawl
Publishing
Quasi-identifier Attributes
quasiidentifier attributes
released data
resilience
Resiliency
sensitive attributes
service-oriented adaptive anonymity algorithm
service-oriented architecture
splitting value

biblio

Private FL-GAN: Differential Privacy Synthetic Data Generation Based on Federated Learning

Submitted by aekwall on Mon, 01/11/2021 - 1:41pm

security of data
Scalability
data privacy
information security
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
composability
neural nets
differential privacy
data sharing
data handling
federated learning
data generation
data-holders
differential privacy generative adversarial network model
differential privacy sensitivity
differential privacy synthetic data generation
GAN training
high-quality synthetic data generation
Lipschitz limit
private FL-GAN
realistic fake data generation
strict privacy guarantee

biblio

Assessing E-Security Behavior among Students in Higher Education

Submitted by aekwall on Mon, 10/12/2020 - 11:45am

authorisation
malware
invasive software
Electronic mail
Human behavior
pubcrawl
Computer crime
internet
Cybersecurity
password
Phishing
Human Factors
data handling
behavior
Educational institutions
social engineering
E-security awareness
e-security behavior assessment
further education
higher education students
higher educational institutions
online scam
password usage
Security Behavior Survey Instrument
United Arab Emirates
Human Behavior and Cybersecurity

biblio

An Algebraic Expert System with Neural Network Concepts for Cyber, Big Data and Data Migration

Submitted by aekwall on Mon, 10/12/2020 - 11:37am

False Data Detection
algebraic expert system
Artificial Intelligence
Bayes methods
Bayesian probability tree approach
Big Data
cognition
Cyber database
data handling
data migration
data migration applications
expert systems
Expert Systems and Security
grading decisions
Human behavior
Information Assurance
knowledge based systems
knowledge-base organization
Knowledgebase
learning (artificial intelligence)
machine assistance approach
machine learning experts system
mathematical algebraic form
neural nets
neural network
neural network computational graph structure
neural network node structure
Neural networks
output layers
pubcrawl
Relational Database
relational databases
Resiliency
rule probabilities
Scalability
security
structured approach
Syntactics
trees (mathematics)
value probabilities

biblio

Explaining Visual Models by Causal Attribution

Submitted by grigby1 on Fri, 08/28/2020 - 12:23pm

attribution
Causal
causal attribution
causal counterfactuals
composability
Computational modeling
counterfactuals
data distribution
data handling
Data models
deep
explanation
Face
factor alteration
feature extraction
Generators
Human behavior
image generative models
intervened causal model
learning
machine learning
Metrics
pubcrawl
Rain
visual models
visualization

biblio

Securing User Access at IoT Middleware Using Attribute Based Access Control

Submitted by aekwall on Mon, 08/17/2020 - 11:42am

security
IoT
computer network security
Scalability
ciphertext-policy attribute-based encryption
Access Control
authorisation
authorization
Cryptography
attribute-based encryption
Internet of Things
IoT devices
data encryption
Human behavior
pubcrawl
policy-based governance
authentication
Logic gates
middleware
internetworking
data handling
IoT middleware
attribute based access control
device data
IoT gateway
IoT system architecture
middleware layer
typical IoT system model
user access control

biblio

Hadoop-based Dark Web Threat Intelligence Analysis Framework

Submitted by grigby1 on Fri, 07/10/2020 - 11:54am

anonymous messaging
anonymous TOR tool
anonymous user communication
crime messages
dark network criminal networks
dark network research
dark web
dark-net threat intelligence
data handling
data privacy
Distributed databases
Hadoop
Hadoop-based dark web threat intelligence analysis framework
HBase-based distributed database
Human behavior
Human Factors
internet
network services
pubcrawl
threat intelligence
threat intelligence information
Tor

biblio

Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering

Submitted by aekwall on Mon, 03/30/2020 - 11:33am

composability
computational science and engineering
CSE
CUDA cores
data handling
Human behavior
learning (artificial intelligence)
machine learning lifecycle
Metrics
ML lifecycle
parallel architectures
PROV-ML
Provenance
provenance data representation
provenance queries
provenance tracking solutions
pubcrawl
query processing
Resiliency
scientific information systems
workflow management software
workflow provenance

biblio

Understanding Data Science Lifecycle Provenance via Graph Segmentation and Summarization

Submitted by aekwall on Mon, 03/30/2020 - 11:33am

Data models
Resiliency
Human behavior
pubcrawl
composability
graph theory
Metrics
query processing
Databases
context-free grammars
optimisation
computational complexity
meta data
metadata
Writing
Pipelines
Semantics
Provenance
data science
data handling
approximation theory
Approximation algorithms
boundary criteria
context free language
context-free grammar
data science lifecycle provenance
data science platforms
destination vertices
graph data models
graph query
graph query model
graph segmentation operator
graph summarization operator
high-level graph query operators
model management
provenance ingestion mechanisms
provenance management
PSPACE-complete
query techniques
Skeleton
source vertices

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Cyber-Physical Systems Virtual Organization

Fostering collaboration among CPS professionals in academia, government, and industry

data handling

A Learning-based Data Augmentation for Network Anomaly Detection

A service-oriented adaptive anonymity algorithm

Private FL-GAN: Differential Privacy Synthetic Data Generation Based on Federated Learning

Assessing E-Security Behavior among Students in Higher Education

An Algebraic Expert System with Neural Network Concepts for Cyber, Big Data and Data Migration

Explaining Visual Models by Causal Attribution

Securing User Access at IoT Middleware Using Attribute Based Access Control

Hadoop-based Dark Web Threat Intelligence Analysis Framework

Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering

Understanding Data Science Lifecycle Provenance via Graph Segmentation and Summarization