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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
defense
biblio
Phishing Attack Detection using Machine Learning Classification Techniques
Submitted by grigby1 on Thu, 03/04/2021 - 1:57pm
Metrics
Zero day attacks
Uniform resource locators
Training
Resiliency
resilience
pubcrawl
phishing attack detection
phishing attack
Phishing
Artificial Intelligence
machine learning
Logistics
defense
Decision Tree
Conferences
computer science
composability
Classification algorithms
biblio
Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems
Submitted by grigby1 on Thu, 03/04/2021 - 1:57pm
security of data
network intrusion detection system
Neural networks
noise reduction
pubcrawl
reconstruction from partial observation
resilience
Resiliency
Robustness
network intrusion detection
signature-based NIDS
software defined networking
software-defined network
telecommunication traffic
traffic traversing
Zero day attacks
Zero-day attacks
defense
adversarial example attack
adversarial setting
Anomaly Detection
anomaly-based NIDS
attacks network systems
composability
computer network security
Cyber Attacks
adversarial example
denoising autoencoders
Intrusion Detection Systems
Malicious Traffic
Metrics
Monitoring
network attacks
network function virtualization
biblio
Collaborative Cyber Attack Defense in SDN Networks using Blockchain Technology
Submitted by grigby1 on Thu, 03/04/2021 - 1:56pm
proactive defense operations
defense
defense perspectives
increases security awareness
invasive software
knowledge-sharing platform
legacy security defense mechanisms
malware campaigns
open-source permissioned blockchain platform
Peer-to-peer computing
potential attacks
proactive defense
cyber-attacks
pubcrawl
resilience
SDN
SDN networks
secure distributed model
software defined networking
sophisticated threats
tamper-proof record-keeping
Zero day attacks
zero-day
Collaborative DDoS Mitigation
Resiliency
Metrics
Human behavior
blacklisting
blockchain
blockchain application
blockchain technology
collaboration
collaborative cyber attack defense
collaborative DDoS attack mitigation
threat mitigation
Collaborative Defense
composability
Computer crime
computer network management
computer network security
contracts
Cryptography
cyber threat intelligence
cyber threat intelligence plays
cyber threat intelligence sharing
biblio
Explainable Detection of Zero Day Web Attacks
Submitted by grigby1 on Thu, 03/04/2021 - 1:56pm
pubcrawl
Zero day attacks
zero day
web security
Task Analysis
Sparse matrices
security
Resiliency
resilience
Anomaly
Protocols
principal component analysis
Pipelines
Metrics
explanation
defense
composability
Anomaly Detection
biblio
Abnormal Behavioral Pattern Detection in Closed-Loop Robotic Systems for Zero-Day Deceptive Threats
Submitted by grigby1 on Thu, 03/04/2021 - 1:55pm
intrusion detection system
zero-day threats
zero-day deceptive attacks
Zero day attacks
Service robots
security of data
Resiliency
resilience
pubcrawl
Metrics
Intrusion Detection Systems
abnormal behavioral pattern detection
defense
deceptive attacks
cyber-physical systems
control engineering computing
composability
closed-loop robotic systems
closed loop systems
Anomaly Detection
abnormal behavioral pattern detection technique
biblio
ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks
Submitted by grigby1 on Thu, 03/04/2021 - 1:55pm
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
Phased-Guard: Multi-Phase Machine Learning Framework for Detection and Identification of Zero-Day Microarchitectural Side-Channel Attacks
Submitted by grigby1 on Thu, 03/04/2021 - 1:55pm
Metrics
Zero-day attacks
Zero day attacks
side-channel attacks
Resiliency
resilience
pubcrawl
Monitoring
microarchitecture
composability
machine learning
Identification
Hardware
feature extraction
Detectors
detection
defense
biblio
Hybrid System to Minimize Damage by Zero-Day Attack based on NIDPS and HoneyPot
Submitted by grigby1 on Thu, 03/04/2021 - 1:55pm
composability
convergence
cyber attack
defense
honeypot
information and communication technology
Metrics
network security
NIDPS
pubcrawl
real-time systems
resilience
Resiliency
Zero day attacks
zero-day
biblio
Link Prediction Adversarial Attack Via Iterative Gradient Attack
Submitted by aekwall on Mon, 01/25/2021 - 12:01pm
gradient information
attack graphs
adversarial attack
adversarial graph
deep models
defense
GAE
gradient attack (GA)
gradient attack strategy
gradient methods
graph autoencode
graph evolved tasks
iterative gradient attack
Link prediction
link prediction adversarial attack problem
node classification
real-world graphs
trained graph autoencoder model
Robustness
data privacy
Task Analysis
learning (artificial intelligence)
Resiliency
pubcrawl
composability
graph theory
privacy
security of data
neural nets
Prediction algorithms
security problem
Predictive models
Predictive Metrics
deep neural networks
Perturbation methods
biblio
Evolving Advanced Persistent Threat Detection using Provenance Graph and Metric Learning
Submitted by grigby1 on Fri, 01/22/2021 - 1:37pm
security
learning (artificial intelligence)
machine learning
Measurement
online adaptive metric learning
provenance graph
pubcrawl
resilience
Scalability
high profile information
security of data
tools
TPR
Trojan horses
true positive rate
Zero day attacks
Zero-day attacks
attack campaigns
Human behavior
Metrics
Resiliency
composability
advanced persistent threat
advanced persistent threat detection
APT
APT attacks
Provenance
benign tools
Conferences
deep learning method
defense
detection accuracy
feature extraction
graph theory
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