computer network security

biblio

ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks

Submitted by grigby1 on Thu, 03/04/2021 - 2:55pm

real-time detection
ZeroWall
zero-day Web attacks
Zero-day attacks
zero-day attack request
Zero day attacks
widely-deployed signature-based Web Application Firewalls
web security
Syntactics
Semantics
security of data
Resiliency
resilience
Recurrent neural networks
Anomaly Detection
pubcrawl
Metrics
internet
historical Web requests
Hidden Markov models
Firewalls (computing)
existing WAF
existing signature-based WAF
encoder-decoder recurrent neural network
digital signatures
defense
computer network security
composability

biblio

Analysis of USB Based Spying Method Using Arduino and Metasploit Framework in Windows Operating System

Submitted by grigby1 on Thu, 03/04/2021 - 2:44pm

Software
peripheral interfaces
plug and play functionality
powershell
pubcrawl
resilience
Resiliency
reverse shell
reverse shell backdoor
operating systems (computers)
spying attacks
Universal Serial Bus
USB attack
USB device
Webcam
Webcams
Windows Operating System Security
Keyboards
security
Arduino
backdoor reverse shell
composability
computer network security
exploitation
Hardware
invasive software
Windows operating system
malware
Metasploit Framework
Metrics
microcontrollers
microphone device
operating system
operating systems

biblio

Lightweight Testbed for Cybersecurity Experiments in SCADA-based Systems

Submitted by grigby1 on Tue, 02/23/2021 - 2:58pm

reconnaissance attack
Network reconnaissance
network scanning
network traffic
Open area test sites
pattern classification
physical damages
Protocols
pubcrawl
network classification model
resilience
Resiliency
SCADA
SCADA systems
SCADA-based Systems
Scalability
telecommunication traffic
testbed
cybersecurity experiments
computer network security
computer security
container-based SCADA testbed
Containers
critical infrastructure
critical infrastructures
cyber physical systems
cyber-attacks
ARP Spoofing
Docker
experimental testbeds
financial damages
interoperable platform
learning (artificial intelligence)
machine learning
man in the middle attack
MITM Attack

biblio

Towards implementing fast and scalable Network Intrusion Detection System using Entropy based Discretization Technique

Submitted by grigby1 on Tue, 02/23/2021 - 2:57pm

network intrusion detection system
Training data
Training
Scalability
Resiliency
resilience
Reconnaissance
pubcrawl
principal component analysis
networking technologies
Network reconnaissance
network packets
anomaly based IDS
network attack
machine learning
intrusion detection system
Intrusion Detection
IDS systems
Hidden Markov models
feature extraction
entropy based discretization technique
Entropy
discretization
computer network security

biblio

Combating TCP Port Scan Attacks Using Sequential Neural Networks

Submitted by grigby1 on Tue, 02/23/2021 - 2:57pm

port scans
transport protocols
telecommunication traffic
TCP port scan attacks
TCP packet
TCP datagrams
sequential neural networks
Scalability
Resiliency
resilience
pubcrawl
attack reconnaissance tool
NMAP scan pcap files
Neural networks
neural nets
Network reconnaissance
learning (artificial intelligence)
general packetized traffic
computer network security
complex TCP classes
Communication networks
classification

biblio

Flow Table Security in SDN: Adversarial Reconnaissance and Intelligent Attacks

Submitted by grigby1 on Tue, 02/23/2021 - 2:55pm

security of data
performance-driven design
power consumption
Probes
pubcrawl
Reconnaissance
resilience
Resiliency
Scalability
SDN architectures
Network reconnaissance
security vulnerabilities
simplistic attack models
software defined networking
specific cache-like behaviors
Switches
target flow table
telecommunication security
underlying storage medium
data privacy
attack parameters
cache inference
cache storage
caching flow rules
communication bottleneck
computer network security
computer networks
control systems
adversarial reconnaissance
denial of service attack
distributed processing
easy target
flow table security
Government
intelligent attacks
Interference
IP networks

biblio

Using Deep Learning Techniques for Network Intrusion Detection

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

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

biblio

Sagacious Intrusion Detection Strategy in Sensor Network

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

smart appliances
Prediction algorithms
logistic regression
regression analysis
network intrusion detection
KNN
WSN
malicious attackers
support vector machine
neural nets
ANN
data corpus
external attacks
IDS methodology
Naive Bayes
sagacious intrusion detection strategy
time division multiple access
Support vector machines
Classification algorithms
service attacks
Floods
Denial of Service attacks
sensors
telecommunication computing
composability
wireless sensor networks
telecommunication security
computer network security
Resiliency
resilience
Metrics
pubcrawl
Intrusion Detection

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

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

biblio

A Hybrid Feature Extraction Network for Intrusion Detection Based on Global Attention Mechanism

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

intrusion detection task
AI methods
false alarm rates
feature extraction layer
fully connected layer
Global Attention Mechanism
global attention mechanism layer
hybrid feature extraction network
hybrid network
temporal features
intrusion detection tasks
large-scale network traffic
low recognition performance
network monitoring system
network traffic attributes
Residual U Net
RULA-IDS
SVM classification layer
computer network security
feature extraction
machine learning
Support vector machines
Intrusion Detection
pubcrawl
Metrics
resilience
Resiliency
Training
telecommunication traffic
composability
pattern classification
neural nets
deep learning
testing
network intrusion detection
spatial features

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Cyber-Physical Systems Virtual Organization

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

computer network security

ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks

Analysis of USB Based Spying Method Using Arduino and Metasploit Framework in Windows Operating System

Lightweight Testbed for Cybersecurity Experiments in SCADA-based Systems

Towards implementing fast and scalable Network Intrusion Detection System using Entropy based Discretization Technique

Combating TCP Port Scan Attacks Using Sequential Neural Networks

Flow Table Security in SDN: Adversarial Reconnaissance and Intelligent Attacks

Using Deep Learning Techniques for Network Intrusion Detection

Sagacious Intrusion Detection Strategy in Sensor Network

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

A Hybrid Feature Extraction Network for Intrusion Detection Based on Global Attention Mechanism