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Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
Bayes methods
biblio
Towards probabilistic identification of zero-day attack paths
Submitted by
aekwall
on Mon, 01/20/2020 - 11:05am
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 - 10:55am
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 - 1:21pm
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 - 11:16am
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 - 2:48pm
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 - 2:03pm
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 - 9:44am
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 - 9:14am
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
biblio
A Multi-Classifier Framework for Open Source Malware Forensics
Submitted by
grigby1
on Mon, 07/01/2019 - 9:06am
automated manner
Bayes methods
computer network security
computer viruses
cyber attack pattern
Cyber Attacks
data cleaning
Data mining
Data models
ever-evolving threats
extensive pre-modeling techniques
feature extraction
future cyber threats
Gaussian Naive Bayes classifier
heuristics updates
invasive software
learning (artificial intelligence)
machine learning
machine learning algorithms
machine learning models
malware
malware analysis reports
malware attacks
malware forensics
manual analysis
multiclassifier framework
open source malware forensics
open source malware sandbox
pattern classification
pubcrawl
resilience
Resiliency
Scalability
Security Heuristics
security of data
traditional anti-virus technologies
Training
biblio
Machine Learning-Based Recommendation Trust Model for Machine-to-Machine Communication
Submitted by
grigby1
on Mon, 06/10/2019 - 12:56pm
Bayes methods
composability
Computational modeling
computer network security
Decision Tree
Decision trees
internet
Internet of Things(IoTs)
Internet of Vehicles(IoVs)
Internet Protocol
k nearest neighbor
learning (artificial intelligence)
machine learning
machine learning trust evaluation
Machine learning-based recommendation trust model
Machine Type Communication Devices
Machine-to-Machine communication nodes
machine-to-machine communications
Machine-to-Machine(M2M)
malicious data
Mathematical model
Naive Bayes
pattern classification
Peer-to-peer computing
privacy
pubcrawl
radial support vector machine
Random Forest
receiver operating characteristics
Reliability
resilience
Resiliency
security
security issues
security threats
Supervisory Control and Data Supervisory Acquisition(SCADA)
Support vector machines
telecommunication computing
trust computation measures
Trusted Computing
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