Classification algorithms

biblio

Insider Threat Identification System Model Based on Rough Set Dimensionality Reduction

Submitted by grigby1 on Thu, 04/08/2021 - 4:55pm

insider threat
security of data
Training
security
Insider Threat Detection
pubcrawl
Human behavior
policy-based governance
resilience
Resiliency
Identification
Information systems
information system security
Classification algorithms
trees (mathematics)
Metrics
probability
User behavior
Bayes methods
Accuracy
rough set theory
set theory
attribute information database
Bayes network
demensionality reduction
feedback tree
impersonation detection
insider threat identification system model
minimum risk Bayes decision
rough set
rough set dimensionality reduction

biblio

RNN-VED for Reducing False Positive Alerts in Host-based Anomaly Detection Systems

Submitted by aekwall on Thu, 04/08/2021 - 4:35pm

security of data
Classification algorithms
learning (artificial intelligence)
Resiliency
pubcrawl
Decoding
data structures
Anomaly Detection
recurrent neural nets
Recurrent neural networks
Semantics
Compositionality
Hidden Markov models
host-based intrusion detection systems
natural language processing
one-class classification
anomaly prediction
HIDS
system-call traces
Information Reuse and Security
ADFA-LD dataset
ADFALD.
false positive alerts
host-based anomaly detection systems
model input-data representation
normal behavior learning
RNN-VED
sequence to sequence
variational encoder-decoder architecture

biblio

Image Classification using Convolution Neural Network Based Hash Encoding and Particle Swarm Optimization

Submitted by aekwall on Mon, 03/29/2021 - 12:08pm

Classification algorithms
Data models
feature extraction
Resiliency
deep learning
particle swarm optimisation
particle swarm optimization
Training
convolutional neural nets
convolutional neural network
genetic algorithms
image classification
convolution neural network
pubcrawl
Predictive models
visualization
image retrieval
Compositionality
sequential model
file organisation
hash algorithms
TV
Intelligent vehicles
hash encoding
hashing techniques
high-performance image classifier models
Image analysis
inception model
marketing
transfer values
TRV

biblio

Fixed Point Attack on Lin et al.’s Modified Hash Function Scheme based on SMALLPRESENT-[8] Algorithm

Submitted by aekwall on Mon, 03/29/2021 - 12:07pm

Cryptography
encryption
Classification algorithms
Resiliency
authentication
message authentication
pubcrawl
Ciphers
Compositionality
Transforms
scheduling
Hash functions
hash algorithms
Compression function
fixed point attack
fixed point messages discovery
hash function message authentication codes block cipher based scheme
Lin et al.’s modified scheme
Lin et al.’s scheme
mac
SMALLPRESENT-[8]
SMALLPRESENT-[8] algorithm

biblio

An Improvement of Apriori Mining Algorithm using Linked List Based Hash Table

Submitted by aekwall on Mon, 03/29/2021 - 12:06pm

Organizations
Classification algorithms
Resiliency
Databases
Clustering algorithms
Data mining
Random access memory
pubcrawl
database management systems
Compositionality
memory space
hash table
hash algorithms
apriori
apriori mining algorithm
association rules
find frequent item sets
frequent 1-item sets counts
Frequent item sets
important algorithms
Improved
improved apriori algorithm
Itemsets
linked list
LinkedList

biblio

F-DPC: Fuzzy Neighborhood-Based Density Peak Algorithm

Submitted by aekwall on Mon, 03/22/2021 - 1:11pm

Classification algorithms
Resiliency
pubcrawl
Licenses
Robustness
Shape
Clustering algorithms
clustering
Data mining
fuzzy set theory
pattern clustering
Heuristic algorithms
expandability
data objects
Partitioning algorithms
Compositionality
degree of membership
F-DPC
fuzzy neighborhood
fuzzy neighborhood density peak clustering
fuzzy neighborhood relationship
fuzzy neighborhood-based density peak algorithm
local density
neighborhood membership

biblio

Identification of Botnet Activity in IoT Network Traffic Using Machine Learning

Submitted by grigby1 on Tue, 03/09/2021 - 2:24pm

Anomaly Detection
botnet
botnet activity
Botnet detection
botnets
CIA attacks
Classification algorithms
composability
computer network security
confidentiality integrity and availability attacks
Cybersecurity
deep learning
deep-learning classifiers
Internet of Things
invasive software
IoT Botnets
IoT devices
IoT network dataset
IoT network traffic
IoT training datasets
learning (artificial intelligence)
machine learning
Measurement
Metrics
Neural networks
performance evaluation
probability
pubcrawl
resilience
Resiliency
Smart homes
supervised machine learning
telecommunication traffic

biblio

Improving Black Box Classification Model Veracity for Electronics Anomaly Detection

Submitted by aekwall on Tue, 03/09/2021 - 12:05pm

Conferences
performance evaluation
Classification algorithms
Data models
nearest neighbour methods
feature extraction
learning (artificial intelligence)
Resiliency
pubcrawl
composability
Metrics
pattern classification
manufacturing systems
production engineering computing
black box encryption
Decision trees
classification
Veracity
Feature Selection
fault diagnosis
fault detection
KNN
BB-stepwise algorithm
black box
black box classification model veracity
black box model
classification model transparency
data driven classification models
decision tree models
electronics anomaly detection
electronics devices
electronics industry
higher transparency
Industrial electronics
KNN models
KNN-stepwise
manufactured electronics
Stepwise

biblio

Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems

Submitted by aekwall on Tue, 03/09/2021 - 12:04pm

Task Analysis
Time measurement
Classification algorithms
learning (artificial intelligence)
Resiliency
pubcrawl
composability
Metrics
neural nets
pattern classification
program testing
testing
Anomaly Detection
software engineering
black box encryption
aerospace computing
deep learning
Instruments
inference mechanisms
time series
convolutional neural network
Time series analysis
recurrent neural network
convolutional layers
888 random recent system-level test cases
automated software engineering tasks
Black-box Model Inference
black-box systems
black-box techniques
black-box third-party libraries
C code
detection techniques
entire source code
existing dynamic model inference techniques
hybrid deep neural network
infer state models
inferred states
inferring behavior model
program comprehension
recurrent layers
run-time traces
running software system
Specification Mining
state change points
state classification algorithm
traditional time series change
UAV auto-pilot solution
white-box

biblio

Phishing Attack Detection using Machine Learning Classification Techniques

Submitted by grigby1 on Thu, 03/04/2021 - 2:57pm

Artificial Intelligence
Classification algorithms
composability
computer science
Conferences
Decision Tree
defense
Logistics
machine learning
Metrics
Phishing
phishing attack
phishing attack detection
pubcrawl
resilience
Resiliency
Training
Uniform resource locators
Zero day attacks

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Cyber-Physical Systems Virtual Organization

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

Classification algorithms

Insider Threat Identification System Model Based on Rough Set Dimensionality Reduction

RNN-VED for Reducing False Positive Alerts in Host-based Anomaly Detection Systems

Image Classification using Convolution Neural Network Based Hash Encoding and Particle Swarm Optimization

Fixed Point Attack on Lin et al.’s Modified Hash Function Scheme based on SMALLPRESENT-[8] Algorithm

An Improvement of Apriori Mining Algorithm using Linked List Based Hash Table

F-DPC: Fuzzy Neighborhood-Based Density Peak Algorithm

Identification of Botnet Activity in IoT Network Traffic Using Machine Learning

Improving Black Box Classification Model Veracity for Electronics Anomaly Detection

Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems

Phishing Attack Detection using Machine Learning Classification Techniques