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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
unsolicited e-mail
biblio
A Methodical Overview on Phishing Detection along with an Organized Way to Construct an Anti-Phishing Framework
Submitted by grigby1 on Tue, 11/26/2019 - 3:47pm
pubcrawl
machine learning
personal information
Phishing
phishing approaches
phishing attack
Phishing Detection
phishing Websites
phishy URL
internet
security and privacy
security attack
tools
Uniform resource locators
unsolicited e-mail
Web sites
website features
credit card details
Anti Phishing Working Group
Anti-phishing
Anti-Phishing framework
anti-phishing model
Banking
blacklisting
classification
Computer crime
account details
emails
feature extraction
Google
HTTPs
Human behavior
human factor
in-use anti-phishing tools
biblio
Demonstrating Different Phishing Attacks Using Fuzzy Logic
Submitted by grigby1 on Wed, 05/01/2019 - 11:29am
Metrics
Web sites
unsolicited e-mail
Uniform resource locators
security of data
security
Resiliency
resilience
pubcrawl
phishing sites
Phishing Detection
phishing attacks
Phishing
pagerank
online banking passwords
bank account details
Membership functions
malicious website
legitimate websites
indexing
global security
Fuzzy logic
fraudulent websites
Fraudulent
Electronic mail
Defuzzification
Data mining
Computer crime
Classification algorithms
Bars
biblio
A Comparative Study of Spam SMS Detection Using Machine Learning Classifiers
Submitted by aekwall on Mon, 02/25/2019 - 11:42am
Filtering
text messages
stylistic features
spam SMS detection
Spam SMS
smart phones
short message service
phones
machine learning classifiers
information filtering
filtering spam emails
detection
deep learning methods
content-based machine learning techniques
content based advertisement
CAP curve
Scalability
machine learning
spam messages
electronic messaging
Unsolicited electronic mail
spam detection
unsolicited e-mail
pattern classification
Neural networks
Metrics
pubcrawl
Human behavior
learning (artificial intelligence)
Classification algorithms
Bayes methods
biblio
Detection of Spam E-mails with Machine Learning Methods
Submitted by aekwall on Mon, 02/25/2019 - 11:42am
naïve Bayes classifier
vector space model
Unsolicited electronic mail
unsolicited e-mail
spam filtering
spam e-mails
spam detection
security of data
Scalability
pubcrawl
Postal services
pattern classification
offensive content
Analytical models
Metrics
machine learning methods
machine learning
learning (artificial intelligence)
internet
Human behavior
Filtering
e-mail filtering
e-mail communication
content information
Bayes methods
biblio
Oases: An Online Scalable Spam Detection System for Social Networks
Submitted by aekwall on Mon, 02/25/2019 - 11:42am
social communities
DHT based overlay
Distributed databases
load-balancing
malware disseminators
Oases
online scalable spam detection system
progressive aggregation tree
resource allocation
decentralized DHT-based tree overlay deployment
social spam
spam classifiers
spammers
trees (mathematics)
Twitter data
Vegetation
Web-based social networks
Metrics
invasive software
Human behavior
pubcrawl
Routing
Peer-to-peer computing
online social networks
social networking (online)
Twitter
Scalability
pattern classification
internet
unsolicited e-mail
spam detection
Training
community-based opportunities
content polluters
biblio
Convolutional Neural Network Based SMS Spam Detection
Submitted by aekwall on Mon, 02/25/2019 - 11:42am
spam messages
undesired text message
Tiago dataset
text categorization
SMS Spam
Imbalanced dataset
Data preprocessing
Cost-sensitive classification
convolutional neural networks
convolutional neural network
convolutional neural nets
CNN
anti-spam filters
text analysis
Scalability
SMS spam detection
electronic messaging
Unsolicited electronic mail
spam detection
unsolicited e-mail
Metrics
machine learning
pubcrawl
Human behavior
learning (artificial intelligence)
feature extraction
Support vector machines
Classification algorithms
biblio
Enhancing the Naive Bayes Spam Filter Through Intelligent Text Modification Detection
Submitted by aekwall on Mon, 02/25/2019 - 11:42am
spam filter
pubcrawl
Python algorithm
Scalability
social networks
spam
spam classification
spam detection
spam emails
pattern classification
spam score
Spamassassin
testing
text analysis
text classification
text modifications
unsolicited e-mail
Unsolicited electronic mail
intelligent text modification detection
Bayes Spam Filter
Bayesian Poisoning
computer security
e-mail filters
Email
email communication
feature extraction
Human behavior
Bayes methods
Internet based information exchange venues
learning (artificial intelligence)
machine learning
machine learning algorithm
machine learning algorithms
Metrics
naïve Bayes classifier
Naive Bayes Spam Filter
biblio
.Net library for SMS spam detection using machine learning: A cross platform solution
Submitted by aekwall on Mon, 02/25/2019 - 11:40am
short message service
Net library
online detection
pattern classification
pubcrawl
random forest algorithm
random processes
Scalability
security of data
Metrics
SMS
SMS spam detection
spam dataset classification
spam detection
spam filter
spam messages
tools
unsolicited e-mail
detection
classification
Classification algorithms
clustering
Clustering algorithms
cross platform .Net development
C\#
C\# languages
C\# library
Algorithms
electronic messaging
email spam detection
filtering algorithms
Human behavior
learning (artificial intelligence)
Libraries
machine learning
machine learning algorithms
biblio
An Improved Spam Detection Method with Weighted Support Vector Machine
Submitted by aekwall on Mon, 02/25/2019 - 11:40am
KFCM
WSVM
weighted SVM
weighted support vector machine
weight variables
Unsolicited electronic mail
Training
SVM
spam filtering
spam detection method
spam detection
Prediction algorithms
KPCM
KFCM algorithm
Scalability
email users
unsolicited e-mail
internet
pattern classification
Metrics
pubcrawl
Human behavior
learning (artificial intelligence)
feature extraction
Support vector machines
machine learning algorithms
Kernel
biblio
Spam Detection Framework for Online Reviews Using Hadoop’ s Computational Capability
Submitted by aekwall on Mon, 02/25/2019 - 11:39am
retail data processing
MapReduce
MapReduce feature
metadata
NetSpam
online review
online reviews
online shopping
parallel programming
Reliability
machine learning techniques
review dataset classification
spam detection framework
spam detection methods
spam detection procedure
spam features
spam review
spam reviews
unsolicited e-mail
spam detection
Business
Big Data
feature extraction
learning (artificial intelligence)
Human behavior
pubcrawl
Metrics
pattern classification
internet
big data processing
Scalability
business decisions
Decision Making
Distribution functions
false reviews
feature type extraction
Hadoop
Hadoop computational capability
Labeling
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