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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Performance Metrics
biblio
An Optimization driven – Deep Belief Neural Network Model for Prediction of Employment Status after Graduation
Submitted by grigby1 on Fri, 03/31/2023 - 8:27am
belief networks
Training
Predictive models
Neural networks
pubcrawl
Metrics
Data models
Industries
Performance Metrics
Measurement
Employment
classifiers
Chimp Optimization
Deep Belief Neural Network
Employability
biblio
Artificial-Noise-Aided Message Authentication Codes With Information-Theoretic Security
Submitted by aekwall on Thu, 04/08/2021 - 4:38pm
Performance Metrics
information theoretic security
standard authentication tags generation
Rijndael cipher
quantization
packet-based transmission
message authentication codes
Information-theoretic authentication codes
false acceptance probability
conditional equivocation
complexity-theoretic MAC
completeness error
channel coding and decoding
artificial-noise-aided message authentication codes
ANA-MAC
cryptographic primitive
Scalability
key recovery attack
Transmitters
Physical layer
information-theoretic security
channel coding
message authentication
information theory
authentication
Metrics
policy-based governance
pubcrawl
Human behavior
Resiliency
Receivers
Cryptography
biblio
A Review on Prevention and Detection Schemes for Black Hole Attacks in MANET
Submitted by aekwall on Tue, 03/09/2021 - 12:37pm
mobile ad hoc network
telecommunication security
telecommunication network topology
Scalability
Routing protocols
Routing
Resiliency
quality of service
pubcrawl
Performance Metrics
mobile ad hoc networks
manet attack prevention
MANET
delays
collaboration
changing topology
Black hole attacks
black hole attack prevention
black hole attack detection
Black hole attack
ad hoc network
biblio
Performance Evaluation of Botnet Detection using Deep Learning Techniques
Submitted by grigby1 on Thu, 03/04/2021 - 2:57pm
Reliability
malicious activities
Metrics
Multilayer Perception
multilayer perceptrons
neural nets
neural network
performance evaluation
Performance Metrics
pubcrawl
Long short-term memory
reliable botnet detection
resilience
Resiliency
security
Sensitivity
traffic control
unknown botnet traffic
Zero day attacks
zero-day attack
Data models
botnet
botnet traffic detection
botnet traffic patterns
botnets
composability
computer network security
convolutional neural network
CTU-13 botnet traffic dataset
CTU-13 Dataset
basic network security goals
deep learning
deep learning-based approaches
defense
different deep learning models
hybrid CNN-LSTM
internet
invasive software
known botnet traffic
learning (artificial intelligence)
biblio
A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data
Submitted by grigby1 on Fri, 08/28/2020 - 3:53pm
sampling
pattern classification
Performance Metrics
Precision-Recall Curve
Predictive models
pubcrawl
Radio frequency
resilience
Resiliency
minority classes
sampling distribution ratio
sampling methods
Scalability
severe class imbalance
severely imbalanced network security big data
Sparks
testing dataset roles
Training
Data mining
Apache Spark framework
area under the receiver operating characteristic curve
Big Data
Big Data Analytics
big data security metrics
Cluster Computing
computer network security
data analysis
apache spark
Geometric Mean
imbalanced data
learning (artificial intelligence)
machine learning
majority class
Measurement
metrics testing
Metrics
biblio
An empirical study of intelligent approaches to DDoS detection in large scale networks
Submitted by aekwall on Mon, 06/29/2020 - 12:46pm
intensity
attack scenarios
class imbalance problem
comprehensive empirical evaluation
DDoS detection
distributed denial-of-services attacks
empirical evaluation
frequency
intelligent approaches
alarming rate
large scale networks
machine learning based DDoS detection techniques
machine learning techniques
ML-based DDoS detection capabilities
ML-based detection techniques
Performance Metrics
DDoS attack detection
Computer crime
denial-of-service attack
Sensitivity
empirical study
Benchmark testing
internet
Metrics
composability
pubcrawl
Human behavior
Resiliency
learning (artificial intelligence)
feature extraction
DDoS Attacks
Monitoring
computer network security
biblio
Threshold Based Optimization of Performance Metrics with Severely Imbalanced Big Security Data
Submitted by grigby1 on Fri, 04/03/2020 - 12:18pm
learning (artificial intelligence)
threshold based optimization
Slow HTTP POST
severely imbalanced slow HTTP DoS attack data
severely imbalanced big security data
security of data
pubcrawl
predictive security metrics
Performance Metrics
pattern classification
optimisation
Metrics
machine learning techniques
big data security metrics
imbalanced big dataset
Decision trees
cyber security domain
classifier predictive models
classifier performance
classification threshold
class imbalance
C4.5N decision tree
Big Data
AUC
area under the receiver operating characteristic curve
biblio
HCOBASAA: Countermeasure Against Sinkhole Attacks in Software-Defined Wireless Sensor Cognitive Radio Networks
Submitted by grigby1 on Thu, 12/05/2019 - 10:56am
probability of false negative
wireless sensor networks
telecommunication security
software-defined wireless sensor cognitive radio network
Sinkhole attack
sink node
sensor nodes
Resiliency
resilience
pubcrawl
probability of false positive
Base stations
probability of detection
Performance Metrics
Hop Count-Based Sinkhole Attack detection Algorithm
HCOBASAA
detection algorithms
Databases
Communication system security
Cognitive Radio Security
cognitive radio
change in position
biblio
Common Metrics to Benchmark Human-Machine Teams (HMT): A Review
Submitted by Katie Dey on Fri, 09/13/2019 - 11:35am
Task Analysis
robotics
Metrics
human-machine teaming (HMT)
Human Factors
Benchmarking
autonomous system
robots
computer architecture
collaboration
Benchmark testing
human computer interaction
Measurement
benchmark HMT
Performance Metrics
metric classification
metric identification
human-machine teaming
benchmark human-machine teams
team working
pattern classification
Man-machine systems
Human Machine Teaming
C3E 2019
biblio
Managing Big Data in Visual Retrieval Systems for DHS Applications: Combining Fourier Descriptors and Metric Space Indexing
Submitted by grigby1 on Fri, 03/22/2019 - 12:59pm
Shape
metric-based balanced indexing tree
Metrics
National security
Performance Metrics
pubcrawl
resilience
Resiliency
rifle database
Scalability
metric space indexing
Shape Signatures
Similarity Indexing Methods
tree data structures
visual databases
visual retrieval systems
visualization
weapon images
Weapons
feature representation
Balanced Trees
Big Data
big data security
content-based retrieval
database indexing
Department of Homeland Security
DHS applications
feature extraction
balanced search
Fourier descriptors
gun database
image retrieval
image retrieval systems
indexing
invariance properties
M-tree
Measurement
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