machine learning algorithms

biblio

Network Intrusion Detection in Smart Grids for Imbalanced Attack Types Using Machine Learning Models

Submitted by grigby1 on Fri, 11/20/2020 - 1:05pm

imbalanced attack types
network intrusion detection
advanced metering infrastructure
imbalanced data
privacy concerns
machine learning models
smart meter
automatic meter reading
boosting
critical security service
generation power grid paradigm
Smart Grids
legacy information
low detection rates
ongoing attacks
smart grid systems
smart information
system operator
time information
time-of-use pricing
smart grid consumer privacy
policy-based governance
learning (artificial intelligence)
security of data
Training
machine learning
machine learning algorithms
Intrusion Detection
pubcrawl
Human behavior
Metrics
privacy
collaboration
resilience
Resiliency
security
Scalability
power engineering computing
Smart Grid
smart power grids
composability

biblio

Tackling Class Imbalance in Cyber Security Datasets

Submitted by aekwall on Mon, 11/09/2020 - 12:12pm

Compositionality
Information Reuse and Security
Velocity measurement
UNSW-NB15
Size measurement
SANTA dataset
outdated datasets
old attacks
information infrastructure
cyber security datasets
class imbalance
class imbalance problem
security of data
Predictive models
cyber security
computer security
cyber-attacks
Training
machine learning
pubcrawl
Resiliency
learning (artificial intelligence)
machine learning algorithms
Time measurement

biblio

An AI Software Test Method Based on Scene Deductive Approach

Submitted by grigby1 on Mon, 11/02/2020 - 10:42am

Mathematical model
Software Testing
Software algorithms
Software
scene deductive approach
Scalability
road vehicles
pubcrawl
program testing
position control
AI software testing method
machine learning algorithms
intelligent tracking car
i/o systems security
i-o systems security
automobiles
artificial intelligence software
Artificial Intelligence
algorithm complexity

biblio

Malware Classification Using Machine Learning Algorithms and Tools

Submitted by grigby1 on Thu, 10/29/2020 - 10:10am

malware
tools
Support vector machines
Resiliency
resilience
Random Forest
pubcrawl
privacy
pattern classification
Metrics
matrix algebra
malware samples
malware classification
Classification algorithms
machine learning algorithms
machine learning
learning (artificial intelligence)
invasive software
Human behavior
feature extraction
family classification
emerging malwares
confusion matrix
comparative classification
comparable features
Cohen's Kappa

biblio

A Novel Machine Learning Based Malware Detection and Classification Framework

Submitted by aekwall on Mon, 10/26/2020 - 11:13am

complex malware types
Predictive Metrics
computer systems
Feature Selection
dynamic analysis
feature selection algorithms
machine learning models
classification accuracy
accurate malware detection
analysis report
classification framework
malware samples
fine-grained classification
high detection
malware analysis framework
malware files
minimum computation cost
selection module
signature-based malware detection techniques
system activities
time progresses
Training
invasive software
machine learning algorithms
feature extraction
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
Metrics
pattern classification
malware
machine learning
testing
privacy
Virtual machining
Malware Analysis
cuckoo sandbox
malware classification
malware detection
static and dynamic analysis

biblio

Behavioral malware analysis algorithm comparison

Submitted by aekwall on Mon, 10/26/2020 - 11:12am

tools
behavioral malware analysis
Sensitivity
Predictive Metrics
behavioral analysis
computer viruses
Malware Analysis
privacy
testing
computer security
Prediction algorithms
malware
Metrics
Algorithms
pubcrawl
Human behavior
Resiliency
machine learning
learning (artificial intelligence)
machine learning algorithms
malware detection

biblio

Insights into Malware Detection via Behavioral Frequency Analysis Using Machine Learning

Submitted by aekwall on Mon, 10/26/2020 - 11:11am

known malware
malicious software
malicious activity
Microsoft Windows (operating systems)
machine learning models
behavioral frequency analysis
benign software
common defenses
common malware defenses
dynamic behavioral analysis
Predictive Metrics
Malware Behavioral Analysis
malware signature classifier
malware threat landscape
signature catalog
unknown malware
Windows API system function calls
zero-day
zero-day vulnerabilities
Metrics
malware detection
invasive software
machine learning algorithms
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
machine learning
malware
pattern classification
Analytical models
privacy
microsoft windows
Malware Analysis
application program interfaces
dynamic analysis
Software algorithms

biblio

Classification of XSS Attacks by Machine Learning with Frequency of Appearance and Co-occurrence

Submitted by aekwall on Mon, 09/28/2020 - 11:35am

pattern classification
XSS attack scripts
Word2Vec
vectorization
Uniform resource locators
Training
SVM
Support vector machines
SCW
Scalability
Resiliency
Random Forest
Radio frequency
pubcrawl
preprocessing method
Phishing
attack detection filter
machine learning algorithms
machine learning
learning (artificial intelligence)
Kernel
internet
information collection
hypermedia markup languages
Human behavior
HTTP cookies
fake HTML input form
dummy sites
Cross Site Scripting
cross site
Computer crime

biblio

Evaluating the Performance of Machine Learning Sentiment Analysis Algorithms in Software Engineering

Submitted by aekwall on Mon, 09/28/2020 - 10:33am

Automated Secure Software Engineering
tool performance
software engineering domain
machine learning sentiment analysis algorithms
evaluation performance
datasets
automated sentiment tool
automated sentiment analysis
sentiment analysis
Software algorithms
Benchmark testing
machine learning algorithms
software engineering
Data mining
machine learning
Training
tools
composability
pubcrawl
Resiliency
learning (artificial intelligence)

biblio

Detection of Phishing Attacks with Machine Learning Techniques in Cognitive Security Architecture

Submitted by aekwall on Mon, 09/14/2020 - 11:32am

Artificial Intelligence
URL analysis
python tools
phishing web attacks detection
cybersecurity analysts
cognitive security architecture
cognitive security application
Artificial Neural Networks
computational intelligence
Compositionality
Uniform resource locators
Data Analytics
Phishing
Cryptography
Python
data analysis
machine learning techniques
Cybersecurity
internet
Computer crime
machine learning
composability
pubcrawl
learning (artificial intelligence)
machine learning algorithms
Big Data

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Cyber-Physical Systems Virtual Organization

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

machine learning algorithms

Network Intrusion Detection in Smart Grids for Imbalanced Attack Types Using Machine Learning Models

Tackling Class Imbalance in Cyber Security Datasets

An AI Software Test Method Based on Scene Deductive Approach

Malware Classification Using Machine Learning Algorithms and Tools

A Novel Machine Learning Based Malware Detection and Classification Framework

Behavioral malware analysis algorithm comparison

Insights into Malware Detection via Behavioral Frequency Analysis Using Machine Learning

Classification of XSS Attacks by Machine Learning with Frequency of Appearance and Co-occurrence

Evaluating the Performance of Machine Learning Sentiment Analysis Algorithms in Software Engineering

Detection of Phishing Attacks with Machine Learning Techniques in Cognitive Security Architecture