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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Bayes methods
biblio
CAPTAR: Causal-Polytree-based Anomaly Reasoning for SCADA Networks
Submitted by
aekwall
on Mon, 03/16/2020 - 10:29am
security of data
Bayes methods
SCADA
SCADA systems
Resiliency
Human behavior
pubcrawl
pattern classification
Databases
Correlation
naïve Bayes classifier
smart power grids
power engineering computing
Smart Grid
Noise measurement
cognition
industrial control system
Intrusion Detection Systems
SCADA Systems Security
situational awareness
Compositionality
supervisory control and data acquisition system
security state
SCADA networks
anomaly reasoning
anomaly reasoning framework
belief propagation
CAPTAR
causal analysis
causal polytrees
causal-polytree-based anomaly reasoning
EDMAND anomaly detection framework
meta-alerts
protected SCADA network
real-time reasoning requirement
biblio
Deliberative and Affective Reasoning: a Bayesian Dual-Process Model
Submitted by
aekwall
on Mon, 02/10/2020 - 12:09pm
Scalability
Bayes methods
pubcrawl
Computational modeling
multi-agent systems
collaboration
chatbots
Complexity theory
cognition
Human Factors
Markov Decision Process
inference mechanisms
Artificial Intelligence
Biological system modeling
affective computing
human interaction
social interactions
psychology
Social Agents
active inference
affect control theory
affective alignment
affective reasoning
Artificial agents
BayesAct agents
Bayesian dual-process model
computationally tractable model
decision theoretic reasoning
emotional level
free energy
human experience
human social networks
Intelligent Agents
intelligent computational agents
plausible model
social experiences
social order
social sciences computing
social-psychological Bayesian affect control theory
social-psychological theory
socio-technical system
sociological theory
technological agents
biblio
Towards probabilistic identification of zero-day attack paths
Submitted by
aekwall
on Mon, 01/20/2020 - 12:05pm
computer network security
Conferences
security
Bayes methods
feature extraction
Resiliency
pubcrawl
composability
Probabilistic logic
probability
Communication networks
Predictive Metrics
belief networks
Bayesian network
enterprise network security defense
intrusion propagation
object instance graph
probabilistic identification
sockets
ZePro
zero-day attack paths
Zero Day Attacks and Defense
biblio
Machine Learning Based Intrusion Detection System
Submitted by
aekwall
on Mon, 01/20/2020 - 11:55am
Bayes methods
Comparative Analysis
composability
computer network security
Conferences
Data mining
detection rate
distrustful activity
false alarms
Informatics
Intrusion Detection
Intrusion Detection Systems
learning (artificial intelligence)
machine learning
machine learning based intrusion detection system
malicious activity
Market research
Naive Bayes
network traffic data
NSL- KDD knowledge discovery dataset
pattern classification
Predictive Metrics
pubcrawl
Resiliency
security of data
statistical methodologies
support vector machine
Support Vector Machine Naive Bayes
Support vector machines
Training
well-organized classification methodology
biblio
Crypto-Aided Bayesian Detection of False Data in Short Messages
Submitted by
grigby1
on Mon, 12/30/2019 - 2:21pm
Bayes methods
Bayesian detection
composability
Conferences
crypto-aided Bayesian detection framework
cryptographic detection
Cryptography
cyber physical systems
detection accuracy
detection error
detection outcomes
Electrostatic discharges
false alarm
false data
False Data Detection
False Data Injection
Human behavior
lightweight cryptographic detection
low latency
low overhead
Map
maximum a posteriori probability rule
missed detection
Physical layer
probability
pubcrawl
Relays
resilience
Resiliency
short messages
signal processing
Wireless communication
biblio
Uncertainty-Aware Authentication Model for Fog Computing in IoT
Submitted by
aekwall
on Mon, 12/30/2019 - 12:16pm
Fog computing
security
ABAC model
attribute based access control model
authentication
authorisation
Bayes methods
Cisco Systems
Cloud Computing
Decision Tree
Decision trees
Fog Computing and Security
Internet of Things
IoT
logistic regression
Mobile Edge Computing
Naive Bayes
pattern classification
prediction model
privacy issues
pubcrawl
regression analysis
Resiliency
Scalability
security issues
supervised classification algorithms
supervised learning
support vector machine
Support vector machines
uncertainty
uncertainty handling
uncertainty-aware authentication model
biblio
Detection of Phishing Attacks
Submitted by
grigby1
on Tue, 11/26/2019 - 3:48pm
Anti Phishing Simulator
attachments
attacker
Bayes methods
Bayesian algorithm
Classification algorithms
communication mediums
Computer crime
cyber attack
detection problem
digital simulation
e-mail
e-mails harm victims
Electronic mail
Filtering
Human behavior
human factor
identity theft
information security
Intrusion Detection
Intrusion Detection Systems
login credentials
mail contents
malicious links
money loss
official person
Phishing
phishing attacks
phishing emails
Postal services
pubcrawl
spam mails
spam words
Uniform resource locators
unsolicited e-mail
biblio
Evaluation of Two RFID Traffic Models with Potential in Anomaly Detection
Submitted by
grigby1
on Wed, 10/02/2019 - 3:03pm
Adaptation models
Anomaly Detection
anomaly/intrusion detection
Bayes methods
Bayesian Blocks
binned RFID command counts
Computational modeling
graph theory
Human behavior
Human Factors
IEC standards
IoT
ISO standards
Knuth's Rule
modeling algorithms
modeling technique
NFC
piecewise graphs
pubcrawl
radiofrequency identification
resilience
Resiliency
RFID
RFID security
RFID traces
RFID traffic models
RFID traffic patterns
RFIDs
telecommunication security
telecommunication traffic
traffic characterization
biblio
Towards a security monitoring plane for named data networking and its application against content poisoning attack
Submitted by
aekwall
on Mon, 08/05/2019 - 10:44am
clean slate
Anomaly Detection
Bayes methods
Bayesian network
Bayesian network structure
Bayesian Network techniques
clean-slate approach
computer network security
Detectors
Hypothesis testing
information centric networking paradigm
Information Centric Networks
internet
IP networks
Measurement
microdetector
Monitoring
named data networking
NDN node
NDN specification
pubcrawl
Resiliency
Scalability
security
security issues
security monitoring approach
security monitoring plane
security of data
biblio
Is Predicting Software Security Bugs Using Deep Learning Better Than the Traditional Machine Learning Algorithms?
Submitted by
aekwall
on Mon, 07/01/2019 - 10:14am
predictive security metrics
Bayes methods
Bug Propensity Correlational Analysis
Computer bugs
Decision Tree
Decision trees
deep learning
deep learning technique
Feedforward Artificial Network
feedforward neural nets
learning (artificial intelligence)
machine learning
Metrics
multilayer deep feedforward network
Naive Bayes
Predictive models
program debugging
pubcrawl
Random Forest
security
security breaches
Security Metrics
security of data
security-related bugs
Software
software insecurity
software metrics
software quality
software quality metrics
software security bugs
Support vector machines
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