learning (artificial intelligence)

biblio

Outsourced Private Function Evaluation with Privacy Policy Enforcement

Submitted by aekwall on Mon, 11/11/2019 - 11:47am

evaluator policy
Private Function Evaluation
private data
privacy policy enforcement
Privacy Policies
Policy Oblivious Encryption
personalized medication
outsourcing
outsourced private function evaluation
OPFE-PPE
hospitals
Homomorphic encryption
Genetics
genetic epidemiology
Cloud Computing
drugs
data contributor
client policy
attribute-based encryption
privacy
pubcrawl
Human behavior
machine learning
learning (artificial intelligence)
data privacy
encryption
Cryptography
Scalability

biblio

Anomalies Detection of Routers Based on Multiple Information Learning

Submitted by grigby1 on Mon, 11/04/2019 - 12:39pm

privacy
telecommunication network routing
Syslogs
security of data
security
routers
Router Systems Security
router system
router syslogs
router security
router anomalies detection
Resiliency
resilience
pubcrawl
Anomaly Detection
multiple information learning
Metrics
learning (artificial intelligence)
learning
internet
input routers
feature extraction
Diagnostics
Correlation
computer network security
Computer bugs
communication devices

biblio

Anomaly Detection in Role Administered Relational Databases — A Novel Method

Submitted by aekwall on Mon, 11/04/2019 - 11:23am

relational databases
User profile
security feature
Role-Based Access Control database
Role administered relational databases
Quiplet
database management systems
database management system
database access control
common security measures
anomaly detection technique
anomaly detection system
access control measures
relational database security
authorisation
Intrusion Detection
Anomaly Detection
Training
Databases
Metrics
composability
pubcrawl
Human behavior
Resiliency
learning (artificial intelligence)
Support vector machines
support vector machine
Access Control

biblio

Towards a Science Gateway for Bioinformatics: Experiences in the Brazilian System of High Performance Computing

Submitted by aekwall on Mon, 10/28/2019 - 10:39am

parallel processing
workflow management systems
workflow management software
Software as a service
Scientific Computing Security
science gateway
SaaS model
Resiliency
resilience
pubcrawl
Predictive Metrics
parallel/distributed executions
BioinfoPortal
machine learning
learning (artificial intelligence)
High performance computing
data management resources
Compositionality
Cloud Computing
Brazilian system
Brazilian National HPC System
Brazilian HPC resources
bioinformatics applications
bioinformatics

biblio

An Adaptive Method to Learn Directive Trust Strength for Trust-Aware Recommender Systems

Submitted by grigby1 on Tue, 10/15/2019 - 2:41pm

recommender systems
unified framework
Trusted Computing
trust-aware recommender systems
trust relationships
trust directions
sparse users
Social network services
security of data
Scalability
Resiliency
resilience
Adaptation models
recommendation quality
pubcrawl
Mathematical model
learning (artificial intelligence)
learn directive trust strength
Human Factors
Data models
Computational modeling
cold start
adaptive systems
adaptive method

biblio

Machine Learning for Real-Time Data-Driven Security Practices

Submitted by grigby1 on Tue, 10/15/2019 - 2:41pm

Scalability
national vulnerability database
optimum system parameters
pubcrawl
real-time data-driven security practices
real-time systems
recommender systems
resilience
Resiliency
Memory-Based Collaborative Filtering technique
security of data
similarity-based ranking
Software
user-based
User-Based technique
vulnerability breach
vulnerable organisations
AUC evaluation metric
memory-based
Measurement
learning (artificial intelligence)
Item-Based technique
Item-Based approaches
item-based
Human Factors
damage
cyber-security vulnerability information
cyber-attacks
cyber security information utilising
cyber security
cosine similarity measure
collaborative filtering
collaboration

biblio

Detection of Hurriedly Created Abnormal Profiles in Recommender Systems

Submitted by grigby1 on Tue, 10/15/2019 - 2:41pm

profile injection attacks
user-item rating matrix
user rating behavior
system ratings
synthetic coordinates
spurious profiles
specific ratings
specific items
security of data
Scalability
Resiliency
resilience
recommender systems
random ratings
Random Forest
pubcrawl
anomalous rating profiles
pattern clustering
Outliers
learning (artificial intelligence)
Labeling
k-means clustering
information filtering
hurriedly created abnormal profiles
Human Factors
Hidden Markov models
gaussian distribution
feature extraction
dimensionality reduction
clustering methods
attackers

biblio

Attention in Recurrent Neural Networks for Ransomware Detection

Submitted by aekwall on Mon, 10/07/2019 - 11:42am

Metrics
Windows environment
user access
Scalability
Resiliency
Recurrent neural networks
recurrent neural nets
ransomware sequences
ransomware executables
ransomware detection
ransomware attacks
Ransomware
pubcrawl
pattern locks
organizational level
Microprocessors
attention mechanisms
malware detection
malicious software
LSTM models
LSTM
Long short-term memory
Logic gates
learning (artificial intelligence)
invasive software
Human behavior
deep learning methods
deep learning
computer security
computer architecture
composability

biblio

Machine Learning for Network Resiliency and Consistency

Submitted by grigby1 on Wed, 10/02/2019 - 2:55pm

global overview
software defined networking
security system
security
SDN
Resiliency
resilience
pubcrawl
programmable networking
network resiliency
network resilience
network consistency
network configurations
machine learning
learning (artificial intelligence)
adaptability
flow tables
feature extraction
deep learning architectures
deep learning
data privacy
convolutional neural networks
convolutional neural nets
consistency verification system
consistency test scenario
computer architecture
artificial intelligence resiliency system
Artificial Intelligence
ARS

biblio

A Game-Theoretical Approach to Cyber-Security of Critical Infrastructures Based on Multi-Agent Reinforcement Learning

Submitted by grigby1 on Thu, 09/05/2019 - 11:28am

resilience
multiagent general sum game
multiagent reinforcement learning
Nash Equilibrium
optimal security configuration
optimal trade-off between prevention actions
protected CI
pubcrawl
Reinforcement learning
multi-agent systems
Resiliency
security
security of data
simulation results
stochastic games
system vulnerabilities
Vulnerability Management
zero-sum variant
critical infrastructures
attack strategy
attack-defense problem
composability
composable security
Control Strategy
Control Theory
critical infrastructure
Critical Infrastructure Protection
Aerospace electronics
cyber-physical system defense
Cyber-security
damage possible
European Project ATENA
game theory
game-theoretical approach
Games
learning (artificial intelligence)

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Cyber-Physical Systems Virtual Organization

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

learning (artificial intelligence)

Outsourced Private Function Evaluation with Privacy Policy Enforcement

Anomalies Detection of Routers Based on Multiple Information Learning

Anomaly Detection in Role Administered Relational Databases — A Novel Method

Towards a Science Gateway for Bioinformatics: Experiences in the Brazilian System of High Performance Computing

An Adaptive Method to Learn Directive Trust Strength for Trust-Aware Recommender Systems

Machine Learning for Real-Time Data-Driven Security Practices

Detection of Hurriedly Created Abnormal Profiles in Recommender Systems

Attention in Recurrent Neural Networks for Ransomware Detection

Machine Learning for Network Resiliency and Consistency

A Game-Theoretical Approach to Cyber-Security of Critical Infrastructures Based on Multi-Agent Reinforcement Learning