neural network

biblio

Research on Application of Convolutional Neural Network in Intrusion Detection

Submitted by aekwall on Thu, 05/13/2021 - 11:31am

Intrusion Detection
security
feature extraction
Resiliency
pubcrawl
policy-based governance
Metrics
Neural networks
internet
convolutional neural networks
Communication networks
Artificial Neural Networks
deep learning
neural network
cyber physical systems

biblio

Agent Based Cybersecurity Model for Business Entity Risk Assessment

Submitted by grigby1 on Tue, 03/30/2021 - 12:04pm

agent based cybersecurity
agent-based modelling
agent-based system modelling
attack-state
Business
business data processing
business entity risk assessment
complex enterprise systems
computer network security
computer networks
critical infrastructure
cyber-attacks
Cybersecurity
data access
defense mechanism
defense strategies
dynamic state changes
external attacks
Human behavior
Human Factors
human interactions
information exchange
innovative information technology
internal attacks
Mathematical model
multi-agent systems
network agents
network setting
network threats
network traffic features
network transactions
neural nets
neural network
Neural networks
Organizations
Predator prey systems
pubcrawl
risk assessment
risk management
risk-based approach
security
security solutions
self-organizing behavior
telecommunication traffic
third-party users
time-state chart
Workstations

biblio

Black-Box Modelling of a DC-DC Buck Converter Based on a Recurrent Neural Network

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

Resiliency
pubcrawl
composability
Metrics
neural network
power engineering computing
black box encryption
recurrent neural nets
recurrent neural network
DC-DC power convertors
multilayer perceptrons
Artificial Neural Networks
radial basis function networks
black-box models
autoregressive processes
black-box approach
black-box model
black-box modelling
DC-DC buck converter
DC-DC power converter
nonsynchronous buck converter model
power converter
prediction
recurrent nonlinear autoregressive exogenous neural network
static behavior
switching convertors
System Identification
Training

biblio

A Black Box Modeling Technique for Distortion Stomp Boxes Using LSTM Neural Networks

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

learning (artificial intelligence)
machine learning
Resiliency
pubcrawl
composability
Metrics
Neural networks
Training
neural network
black box encryption
recurrent neural nets
correlation coefficient
LSTM
Integrated circuit modeling
nonlinear systems
black box modeling
commercial stomp boxes
distortion sound
distortion stomp box
LSTM neural networks
Nonlinear distortion
sound effect
stomp box

biblio

Software architecture for the application of facial recognition techniques through IoT devices

Submitted by aekwall on Tue, 03/09/2021 - 11:58am

biometric encryption
Big Data
biometrics (access control)
data privacy
encryption
face recognition
facial recognition
facial recognition techniques
facial recognition time
feature extraction
Internet of Things
IoT devices
Metrics
neural network
personal data
process control
pubcrawl
Resiliency
Scalability
security of data
Software
Software Architecture
software architecture proposal
Software measurement
Systematics
Transportation

biblio

Performance Evaluation of Botnet Detection using Deep Learning Techniques

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

basic network security goals
botnet
botnet traffic detection
botnet traffic patterns
botnets
composability
computer network security
convolutional neural network
CTU-13 botnet traffic dataset
CTU-13 Dataset
Data models
deep learning
deep learning-based approaches
defense
different deep learning models
hybrid CNN-LSTM
internet
invasive software
known botnet traffic
learning (artificial intelligence)
Long short-term memory
malicious activities
Metrics
Multilayer Perception
multilayer perceptrons
neural nets
neural network
performance evaluation
Performance Metrics
pubcrawl
Reliability
reliable botnet detection
resilience
Resiliency
security
Sensitivity
traffic control
unknown botnet traffic
Zero day attacks
zero-day attack

biblio

Evading Deepfake-Image Detectors with White- and Black-Box Attacks

Submitted by grigby1 on Thu, 03/04/2021 - 2:35pm

White Box Security
white box
security
attack case studies
AUC
black-box attack
composability
deepfake-image detectors
disinformation campaigns
Forensics
fraudulent social media profiles
Generators
image area
image classification
Image forensics
image generators
image representation
image sensors
image-forensic classifiers
learning (artificial intelligence)
Metrics
neural nets
neural network
optimization
Perturbation methods
popular forensic approach
pubcrawl
resilience
Resiliency
Robustness
security of data
significant vulnerabilities
social networking (online)
state- of-the-art classifier
synthesizer
synthetic content
synthetically-generated content
target classifier
Training
Twitter

biblio

Using Deep Learning Techniques for Network Intrusion Detection

Submitted by grigby1 on Tue, 02/23/2021 - 2:47pm

learning (artificial intelligence)
feature extraction
machine learning
CNN
convolutional neural nets
Intrusion Detection
pubcrawl
Metrics
resilience
Resiliency
computer network security
network security
recurrent neural nets
composability
deep learning
convolutional neural networks
recurrent neural network
Recurrent neural networks
network intrusion detection
deep learning techniques
neural network
convolutional neural network
cyber-security attacks
intelligent network intrusion detection system
network intrusion attacks
RNN

biblio

An intrusion detection system integrating network-level intrusion detection and host-level intrusion detection

Submitted by grigby1 on Tue, 02/23/2021 - 2:46pm

learning (artificial intelligence)
machine learning
security
Data mining
convolutional neural nets
Intrusion Detection
pubcrawl
Metrics
resilience
Resiliency
computer network security
cyber security
intrusion detection system
Computer crime
composability
cyber-attacks
software reliability
neural network
network intrusion detection
Scalability
software quality
NSL-KDD dataset
ADFA dataset
cyber-attackers
host-level IDS
host-level intrusion detection
IDS field
network-level intrusion detection
scalable neural-network-based hybrid IDS framework

biblio

Identifying Ubiquitious Third-Party Libraries in Compiled Executables Using Annotated and Translated Disassembled Code with Supervised Machine Learning

Submitted by aekwall on Mon, 02/22/2021 - 1:44pm

Software
Task Analysis
Support vector machines
machine learning
pubcrawl
graph theory
internet
tools
Libraries
supply chain management
neural network
Measurement
Databases
reverse engineering
Predictive Metrics
Microprogramming
Classification algorithms
supervised learning
nearest neighbor search
Bayes method
clustering methods
k-nearest neighbor search
Matrices
vector

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Cyber-Physical Systems Virtual Organization

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

neural network

Research on Application of Convolutional Neural Network in Intrusion Detection

Agent Based Cybersecurity Model for Business Entity Risk Assessment

Black-Box Modelling of a DC-DC Buck Converter Based on a Recurrent Neural Network

A Black Box Modeling Technique for Distortion Stomp Boxes Using LSTM Neural Networks

Software architecture for the application of facial recognition techniques through IoT devices

Performance Evaluation of Botnet Detection using Deep Learning Techniques

Evading Deepfake-Image Detectors with White- and Black-Box Attacks

Using Deep Learning Techniques for Network Intrusion Detection

An intrusion detection system integrating network-level intrusion detection and host-level intrusion detection

Identifying Ubiquitious Third-Party Libraries in Compiled Executables Using Annotated and Translated Disassembled Code with Supervised Machine Learning