Decision trees

biblio

QoE-Driven Anomaly Detection in Self-Organizing Mobile Networks Using Machine Learning

Submitted by grigby1 on Mon, 02/17/2020 - 4:14pm

Anomaly Detection
composability
Computational modeling
Data models
Decision trees
dysfunctional serving eNodeBs
dysfunctional serving nodes
end-user experience
green mobile communication networks
learning (artificial intelligence)
machine learning
mobile computing
mobile radio
network scenario
network-centric approaches
ns-3
ns-3 network simulator
parametric QoE model
Predictive models
pubcrawl
qoe
QoE-driven anomaly detection
quality of experience
resilience
Resiliency
self-healing networks
self-organizing mobile networks
SON
system model
telecommunication computing
user-centric approach

biblio

Comment Spam Detection via Effective Features Combination

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

blog spam dataset
Blogs
boosting
comment spam detection
Decision trees
Detectors
feature combination
feature extraction
gradient boosting tree algorithm
Human behavior
Human Factors
internet
Metrics
pubcrawl
Scalability
spam detection
trees (mathematics)
user experience
Web sites

biblio

Keystroke Analysis for User Identification Using Deep Neural Networks

Submitted by grigby1 on Tue, 01/28/2020 - 1:36pm

Artificial Intelligence
authentication systems
Decision trees
decision-trees machine learning algorithm
deep learning
deep learning-based classifiers
deep neural network architecture
feature model
Human behavior
Human Factors
keystroke
keystroke analysis
learning (artificial intelligence)
malicious users
message authentication
Metrics
MLP deep neural network
multilayer perceptrons
neural net architecture
neural network
pattern classification
pubcrawl
supervised learning
typing dynamics
typing style
user identification

biblio

Edge Learning Based Green Content Distribution for Information-Centric Internet of Things

Submitted by grigby1 on Tue, 01/21/2020 - 10:27am

content distribution
Decision Making
Decision trees
distributed coding
distributed coding based content transmission
edge computing
edge learning
encoding
green computing
green content distribution scheme
IC-IoT
IC-IoT requirements
Information Centric Network
Information Centric Networks
information-centric internet of things
information-centric networking
intelligent
intelligent path selection
internet
Internet of Things
learning (artificial intelligence)
network distribution
network quality
network traffic
pubcrawl
quality of service
real-time systems
resilience
Resiliency
revolutionary future networking architecture
Routing
Scalability
telecommunication traffic

biblio

Comparing the Performance of Adaptive Boosted Classifiers in Anomaly based Intrusion Detection System for Networks

Submitted by aekwall on Mon, 01/20/2020 - 10:55am

adaptive boosted classifiers
boosting
boosting process
boosting techniques
composability
computer network security
Correlation
Correlation based feature weighted Naïve Bayes
Data mining
Decision trees
detection rate
discretization
hybrid anomaly based intrusion detection system
Intrusion Detection
intrusion detection Kaggle dataset
intrusion detection system
Intrusion Detection Systems
learning (artificial intelligence)
lengthy detection process
naïve Bayes classifier
network based intrusion detection
pattern classification
pubcrawl
Random Tree
Resiliency
tools
Training

biblio

Uncertainty-Aware Authentication Model for Fog Computing in IoT

Submitted by aekwall on Mon, 12/30/2019 - 11:16am

Fog computing
security
ABAC model
attribute based access control model
authentication
authorisation
Bayes methods
Cisco Systems
Cloud Computing
Decision Tree
Decision trees
Fog Computing and Security
Internet of Things
IoT
logistic regression
Mobile Edge Computing
Naive Bayes
pattern classification
prediction model
privacy issues
pubcrawl
regression analysis
Resiliency
Scalability
security issues
supervised classification algorithms
supervised learning
support vector machine
Support vector machines
uncertainty
uncertainty handling
uncertainty-aware authentication model

biblio

Locating SQL Injection Vulnerabilities in Java Byte Code Using Natural Language Techniques

Submitted by grigby1 on Thu, 09/26/2019 - 9:25am

code analysis
code analysis tools
collaboration
Decision trees
Human behavior
Human Factors
Java
Java byte code
Java program
Metrics
natural language processing
natural language techniques
policy-based governance
program diagnostics
pubcrawl
Python
resilience
Resiliency
Safe Coding
Secure Coding
security
security of data
singular decision trees
Software
software vulnerabilities
source code (software)
SQL
SQL injection
SQL injection vulnerabilities
standards
Text Mining
tools

biblio

Context-Aware File Discovery System for Distributed Mobile-Cloud Apps

Submitted by aekwall on Wed, 09/04/2019 - 10:16am

android
Android (operating system)
CAFDS
Cloud Computing
cloud-based metadata server
composability
Computation offloading
context-aware file discovery service
context-aware file discovery system
Decision Tree
Decision trees
Distributed databases
distributed mobile-cloud apps
File discovery service
image file
Linux
meta data
metadata
Metadata Discovery Problem
middleware
mobile cloud computing
mobile computing
Mobile handsets
Monte Carlo methods
Peer-to-peer computing
peer-to-peer solutions
pubcrawl
Resiliency
Scalability
Servers

biblio

Is Predicting Software Security Bugs Using Deep Learning Better Than the Traditional Machine Learning Algorithms?

Submitted by aekwall on Mon, 07/01/2019 - 9:14am

predictive security metrics
Bayes methods
Bug Propensity Correlational Analysis
Computer bugs
Decision Tree
Decision trees
deep learning
deep learning technique
Feedforward Artificial Network
feedforward neural nets
learning (artificial intelligence)
machine learning
Metrics
multilayer deep feedforward network
Naive Bayes
Predictive models
program debugging
pubcrawl
Random Forest
security
security breaches
Security Metrics
security of data
security-related bugs
Software
software insecurity
software metrics
software quality
software quality metrics
software security bugs
Support vector machines

biblio

At Your Own Risk: Shaping Privacy Heuristics for Online Self-Disclosure

Submitted by grigby1 on Mon, 07/01/2019 - 9:06am

acceptance trees
adaptive privacy
audience component
aware- ness
data privacy
data structure representative
data structures
Decision trees
Employment
Facebook
Heuristics
Human-computer interaction
online self-disclosure
potential privacy risks
privacy
privacy awareness
privacy heuristics
private information
pubcrawl
recurrent regrettable scenarios
resilience
Resiliency
risk analysis
Scalability
Security Heuristics
sensitive information
social network sites
social networking (online)
Task Analysis
user-centred privacy preferences

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Cyber-Physical Systems Virtual Organization

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

Decision trees

QoE-Driven Anomaly Detection in Self-Organizing Mobile Networks Using Machine Learning

Comment Spam Detection via Effective Features Combination

Keystroke Analysis for User Identification Using Deep Neural Networks

Edge Learning Based Green Content Distribution for Information-Centric Internet of Things

Comparing the Performance of Adaptive Boosted Classifiers in Anomaly based Intrusion Detection System for Networks

Uncertainty-Aware Authentication Model for Fog Computing in IoT

Locating SQL Injection Vulnerabilities in Java Byte Code Using Natural Language Techniques

Context-Aware File Discovery System for Distributed Mobile-Cloud Apps

Is Predicting Software Security Bugs Using Deep Learning Better Than the Traditional Machine Learning Algorithms?

At Your Own Risk: Shaping Privacy Heuristics for Online Self-Disclosure