network intrusion detection

biblio

Addressing Adversarial Attacks Against Security Systems Based on Machine Learning

Submitted by grigby1 on Wed, 11/04/2020 - 1:16pm

machine learning
spam
Scalability
Resiliency
resilience
pubcrawl
poisoning attacks
poisoning attack
pattern classification
Organizations
network intrusion detection
malware
machine-learning classifiers
adversarial attacks
learning (artificial intelligence)
invasive software
Intrusion Detection
Human behavior
evasion attacks
Detectors
deep learning
cyber security platforms
cyber detector
Computer crime
AI Poisoning

biblio

An Adaptive Threshold Method for Anomaly-based Intrusion Detection Systems

Submitted by aekwall on Mon, 05/11/2020 - 10:19am

microsoft windows
suspicious behaviors
normal data instances
normal behaviors
dynamic network environment
dynamic environment
Bipartite graph
Anomaly-based Detection Systems attempt
ADS
adaptive threshold method
adaptive systems
abnormal behaviors
intrusion
Trust management
anomaly-based Intrusion Detection Systems
network security
computer network security
statistical analysis
probability
Anomaly Detection
Cybersecurity
internet
network intrusion detection
Statistics
trust
Metrics
Peer-to-peer computing
composability
pubcrawl
Resiliency
IP networks

biblio

A novel network intrusion detection algorithm based on Fast Fourier Transformation

Submitted by aekwall on Mon, 05/11/2020 - 10:19am

image classification
representation learning
network intrusion detection algorithm
Matrix converters
intrusion detection problem
fast Fourier transforms
fast Fourier transformation
Discrete Fourier transforms
FFT
deep learning techniques
NSL-KDD dataset
NSL-KDD
CNN model
deep learning
computer network security
Image coding
Intrusion Detection
network traffic
convolutional neural networks
convolutional neural nets
CNN
network intrusion detection
Metrics
composability
pubcrawl
Resiliency
learning (artificial intelligence)
machine learning algorithms

biblio

Artificial Intelligence based Network Intrusion Detection with Hyper-Parameter Optimization Tuning on the Realistic Cyber Dataset CSE-CIC-IDS2018 using Cloud Computing

Submitted by aekwall on Mon, 05/11/2020 - 10:19am

optimization
hyper-parameter optimization and realistic network traffic cyber dataset
hyper-parameter optimization tuning
Intrusion Detection
intrusion detection system
latest intrusion detection dataset
Metrics
network intrusion detection
neural nets
neural network algorithms
cyber-physical system traffic data
pubcrawl
realistic cyber dataset CSE-CIC-IDS2018
realistic cyber defense dataset
receiver operator characteristic
Resiliency
telecommunication traffic
tuning
web services
AWS
Human behavior
Amazon Web Services
area under ROC curve
Artificial Intelligence
artificial intelligence algorithms
artificial intelligence based network intrusion detection
artificial intelligence security
artificial intelligence technique
Artificial Neural Networks
Human Behavior and Cybersecurity
botnet
botnet attack detection
Canadian institute for cybersecurity
CIC
Cloud Computing
composability
computer network security
CSE-CIC-IDS2018

biblio

Network Intrusion Detection Based on Deep Learning

Submitted by aekwall on Mon, 05/11/2020 - 10:19am

Neurons
network monitoring data
network intrusion detection method
deep confidence neural network
deep confidence
computer network technology
network intrusion
probability
Intrusion Detection
BP Neural Network
Computer hacking
network intrusion detection
computer network security
Neural networks
neural nets
Backpropagation
Metrics
deep learning
composability
pubcrawl
Resiliency
learning (artificial intelligence)
feature extraction

biblio

An Improved Convolutional Neural Network Model for Intrusion Detection in Networks

Submitted by aekwall on Mon, 05/11/2020 - 10:18am

Kernel
traditional machine learning technology
Support vector machines
security of data
Resiliency
pubcrawl
popular detection technology
pattern classification
network security
network intrusion detection model
network intrusion detection
Metrics
machine learning
low detection rate
learning (artificial intelligence)
Artificial Neural Networks
KDD99 datasets
intrusion samples
Intrusion Detection
improved convolutional neural network model
feature extraction
cyber security
convolutional neural networks
convolutional neural network algorithm
convolutional neural nets
convolution
composability
CNN
policy-based governance
cyber physical systems

biblio

A Multi-Agent Model for Network Intrusion Detection

Submitted by aekwall on Mon, 05/11/2020 - 10:18am

Anomaly Detection
network requirements
network intrusions
Multi Agent System
MAS agents
Hadoop distributed file system
distribution
distributed intrusion detection model
DIDS
Big networks
big computer infrastructure
multiagent system
autonomy
Intrusion Detection
computer network security
computer security
MAS
Databases
network intrusion detection
multi-agent systems
Metrics
composability
pubcrawl
Resiliency
security
Big Data
IDS

biblio

Performance Comparison of Intrusion Detection System Between Deep Belief Network (DBN)Algorithm and State Preserving Extreme Learning Machine (SPELM) Algorithm

Submitted by aekwall on Mon, 05/11/2020 - 10:18am

pedestrian detection
machine learning algorithms
machine learning classifier
Metrics
network intrusion detection
NSL- KDD dataset
NSL-KDD dataset
object detection
pattern classification
learning (artificial intelligence)
pedestrians
security of data
SPELM algorithm
state preserving extreme learning machine algorithm
State Preserving Extreme Learning Machine(SPELM)
testing
Training
DBN algorithm
pubcrawl
composability
Resiliency
Anomaly Detection
Classification algorithms
Computational modeling
cyber security
Data models
belief networks
Deep Belief Network
deep belief network algorithm
face recognition
feature extraction
feedforward neural nets
Intrusion Detection
intrusion detection system

biblio

Network Intrusion Detection Mechanisms Using Outlier Detection

Submitted by aekwall on Mon, 05/11/2020 - 10:13am

Intrusion Detection Subsystem
extensive network databases
Forestry
framework conduct
human blunder
information control
information mining
instrument mistake
intrusion
accessible information
network clients
network database framework
network intrusion
network intrusion detection mechanisms
network operations
network route
outlier detection
network intrusion detection
security of data
computer network security
authorisation
Conferences
Resiliency
pubcrawl
composability
Metrics
security
Databases
Vegetation
Data mining
Intrusion Detection
database management systems
XML
network information

biblio

Concept for network intrusion detection system based on recurrent neural network classifier

Submitted by aekwall on Mon, 05/11/2020 - 10:13am

Recurrent neural networks
technology school electronic systems
Technical University Sofia
recurrent neural network classifier
problem-based learning
network intrusion detection system
long-short term neural network
long-short term memory units
learning project
high-school student
Educational institutions
Apache HTTP Server
computer aided instruction
DoS
computer network security
recurrent neural nets
Logic gates
Web servers
Intrusion Detection
computer science education
network intrusion detection
Metrics
composability
pubcrawl
Resiliency
Monitoring
intrusion detection system

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Cyber-Physical Systems Virtual Organization

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

network intrusion detection

Addressing Adversarial Attacks Against Security Systems Based on Machine Learning

An Adaptive Threshold Method for Anomaly-based Intrusion Detection Systems

A novel network intrusion detection algorithm based on Fast Fourier Transformation

Artificial Intelligence based Network Intrusion Detection with Hyper-Parameter Optimization Tuning on the Realistic Cyber Dataset CSE-CIC-IDS2018 using Cloud Computing

Network Intrusion Detection Based on Deep Learning

An Improved Convolutional Neural Network Model for Intrusion Detection in Networks

A Multi-Agent Model for Network Intrusion Detection

Performance Comparison of Intrusion Detection System Between Deep Belief Network (DBN)Algorithm and State Preserving Extreme Learning Machine (SPELM) Algorithm

Network Intrusion Detection Mechanisms Using Outlier Detection

Concept for network intrusion detection system based on recurrent neural network classifier