data handling

biblio

A Learning-based Data Augmentation for Network Anomaly Detection

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

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

biblio

A service-oriented adaptive anonymity algorithm

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

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

biblio

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

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

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

biblio

Assessing E-Security Behavior among Students in Higher Education

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

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

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

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

biblio

Explaining Visual Models by Causal Attribution

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

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

biblio

Securing User Access at IoT Middleware Using Attribute Based Access Control

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

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

biblio

Hadoop-based Dark Web Threat Intelligence Analysis Framework

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

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

biblio

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

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

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

biblio

Understanding Data Science Lifecycle Provenance via Graph Segmentation and Summarization

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

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

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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