regression analysis

biblio

Reputation Metrics Design to Improve Intermediary Incentives for Security of TLDs

Submitted by grigby1 on Tue, 05/01/2018 - 11:22am

Phishing
unsolicited e-mail
top-level domains security
top-level domains
TLDs security
statistical regression model
software metrics
Servers
security performance measurement
security
reputation metrics design
reputation metrics
regression analysis
phishing datasets
Computer crime
Measurement
malware datasets
malware
IP networks
invasive software
internet
intermediary incentives
Feeds
Ecosystems
domain name system
domain abuse
DNS ecosystem
cybercriminals

biblio

Reputation Metrics Design to Improve Intermediary Incentives for Security of TLDs

Submitted by grigby1 on Mon, 04/30/2018 - 3:09pm

Phishing
unsolicited e-mail
top-level domains security
top-level domains
TLDs security
statistical regression model
software metrics
Servers
security performance measurement
Security Metrics
security
reputation metrics design
reputation metrics
regression analysis
pubcrawl
phishing datasets
Computer crime
Metrics
Measurement
malware datasets
malware
IP networks
invasive software
internet
intermediary incentives
Feeds
Ecosystems
domain name system
domain abuse
DNS ecosystem
cybercriminals

biblio

Application of Generalized Regression Neural Network in Cloud Security Intrusion Detection

Submitted by grigby1 on Mon, 04/02/2018 - 12:39pm

Metrics
security of data
robots
Resiliency
resilience
regression analysis
pubcrawl
policy-based governance
pattern clustering
pattern classification
neural nets
network intrusion behavior modes
network intrusion
Artificial Neural Networks
learning (artificial intelligence)
Intrusion Detection
intrusion data
Intelligent systems
individual owned invasion category
Hafnium compounds
generalized regression neural network clustering analysis
generalized regression neural network
data training
clustering training samples
cloud security intrusion detection
Cloud Security

biblio

A Regression Model Based Approach for Identifying Security Requirements in Open Source Software Development

Submitted by grigby1 on Mon, 03/05/2018 - 1:08pm

open source software development
up-front RE
textual information retrieval techniques
testing
software engineering
security requirements identification methods
security requirements identification
security of data
security
Resiliency
resilience
requirements engineering
regression model based approach
regression analysis
pubcrawl
OSS projects
coding theory
Open Source Software
Metrics
Measurement
Logistics
logistic regression
lightweight representation
just-in-time requirements engineering
information retrieval
Formal Specification
Cryptography
Compositionality
Complexity theory
comment writing
comment security aspect

biblio

Evaluation of Automated Identity Masking Method (AIM) in Naturalistic Driving Study (NDS)

Submitted by grigby1 on Tue, 01/23/2018 - 4:02pm

image annotation
video signal processing
video data
vehicles
signal detection theory
signal detection
Resiliency
regression analysis
pubcrawl
personalized supervised bilinear regression method
NDS
naturalistic driving study
mirrors
Image edge detection
action perception
FAT mask
facial behavior annotation
facial action transfer deidentification algorithm
face recognition
Face
edge-detection filter
edge detection
driver information systems
composability
Automated Response Actions
automated identity masking method
Algorithm design and analysis
AIM

biblio

Exploring linguistic features for extremist texts detection (on the material of Russian-speaking illegal texts)

Submitted by K_Hooper on Wed, 01/10/2018 - 11:14am

Scalability
psycholinguistic features
pubcrawl
Random Forest
regression analysis
Resiliency
Russian language
Russian legislation
Russian-speaking illegal text material
psych olinguistic features
semantic features
Semantics
Social network services
Support vector machines
Terrorism
text analysis
text classification
text detection
Human behavior
Bayes methods
classification methods
classification quality
Dictionaries
differentiating feature
extremist texts
feature extraction
gradient boosting
automatic extremist text detection
learning (artificial intelligence)
linear SVM
linguistic features
logistic regression
multinomial naive Bayes
natural language processing
pattern classification
Pragmatics

biblio

Linear regression based multi-state logic decomposition approach for efficient hardware implementation

Submitted by grigby1 on Thu, 12/28/2017 - 1:17pm

pattern matching
multi-valued logic
multistate logic decomposition approach
multivalued logic
multivalued logic circuits
multivalued minterms
MVL decomposition
nanoelectronics
Nanoscale devices
more-than-Moore scaling
polynomials
pubcrawl
quaternary sum circuit
regression analysis
technology mapping
visual pattern matching
word length 4 bit
decision diagrams
binary CMOS
binary switches
CMOS adder
CMOS logic circuits
complex polynomials
Compositionality
data conversion
data science
adders
decomposition
domain selection
efficient hardware implementation
interconnection requirements
linear regression
logic design
Metrics

biblio

An ensemble model with hierarchical decomposition and aggregation for highly scalable and robust classification

Submitted by grigby1 on Thu, 12/28/2017 - 1:17pm

highly scalable classification
Xgboost
Training
sub-model training
sub-model integration
regression analysis
pubcrawl
Predictive models
pattern classification
model decomposition
Metrics
machine learning
Logistics
logistic regression
learning (artificial intelligence)
binary classification problem
Hearthstone
game state information
flexible robust scheme
feature extraction
extreme gradient boosted decision trees
ensemble model
deep learning
decomposition
Decision trees
Data models
computer games
computer game
Computational modeling
Compositionality

biblio

A study on the fast system recovery: Selecting the number of surrogate nodes for fast recovery in industrial IoT environment

Submitted by grigby1 on Tue, 12/12/2017 - 1:21pm

machine learning
System recovery
surrogate nodes
Servers
sensors
Resiliency
regression analysis
pubcrawl
network servers
Algorithm design and analysis
IoT gateway
Internet of Things
Industrial IoT(IIoT)
industrial IoT environment
fast system recovery mechanism
Fast Recovery
Conferences

biblio

A Scalable Meta-Model for Big Data Security Analyses

Submitted by grigby1 on Fri, 11/03/2017 - 11:31am

network anomaly detection
Training data
sufficient statistics
statistical data models
security of data
security analyses
security
Scalable Security
scalable meta-model
Scalability
regression analysis
pubcrawl
Predictive models
Big Data
meta-model sufficient statistics
meta-model matrix
Meta-Model
matrix algebra
machine learning algorithms
linear regressions
linear regression models
linear regression
learning (artificial intelligence)
Data models
Conferences
Big Data security analysis

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Cyber-Physical Systems Virtual Organization

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

regression analysis

Reputation Metrics Design to Improve Intermediary Incentives for Security of TLDs

Reputation Metrics Design to Improve Intermediary Incentives for Security of TLDs

Application of Generalized Regression Neural Network in Cloud Security Intrusion Detection

A Regression Model Based Approach for Identifying Security Requirements in Open Source Software Development

Evaluation of Automated Identity Masking Method (AIM) in Naturalistic Driving Study (NDS)

Exploring linguistic features for extremist texts detection (on the material of Russian-speaking illegal texts)

Linear regression based multi-state logic decomposition approach for efficient hardware implementation

An ensemble model with hierarchical decomposition and aggregation for highly scalable and robust classification

A study on the fast system recovery: Selecting the number of surrogate nodes for fast recovery in industrial IoT environment

A Scalable Meta-Model for Big Data Security Analyses