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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
ransomware families
biblio
Identification of Ransomware families by Analyzing Network Traffic Using Machine Learning Techniques
Submitted by aekwall on Thu, 07/14/2022 - 4:20pm
Classification algorithms
composability
Computer hacking
feature extraction
machine learning
machine learning algorithms
Metrics
network traffic
Protocols
pubcrawl
Ransomware
ransomware attacks
ransomware families
Resiliency
telecommunication traffic
biblio
API-Based Ransomware Detection Using Machine Learning-Based Threat Detection Models
Submitted by aekwall on Thu, 07/14/2022 - 4:20pm
privacy
machine learning
Analytical models
feature extraction
Metrics
Resiliency
composability
Ransomware
ransomware detection
API calls
telecommunication traffic
Nonhomogeneous media
pubcrawl
network traffic
ransomware attacks
ransomware families
biblio
An I/O Request Packet (IRP) Driven Effective Ransomware Detection Scheme using Artificial Neural Network
Submitted by aekwall on Thu, 04/08/2021 - 4:36pm
ransomware behavior
malware
microsoft windows
neural nets
Neural networks
newly found research paradigm
pubcrawl
Ransomware
ransomware attacks
low-level file system
ransomware detection
ransomware families
ransomware researchers
ransomware samples
ransomware samples every day
Resiliency
retail to critical infrastructure
global surge
artificial neural network
Compositionality
Cryptography
cyber-attacks
Data collection
discovering novel ransomware families
driven effective ransomware detection scheme
effective artificial neural network structure
i-o systems security
I/O Monitoring
industry-based security researchers
Information Reuse and Security
invasive software
IRP logs
Kernel
learning (artificial intelligence)
biblio
Analysis of Machine Learning Techniques for Ransomware Detection
Submitted by aekwall on Mon, 03/23/2020 - 1:25pm
malware detection
Resiliency
ransomware families
Ransomware
Random Forest
Scalability
pubcrawl
policy-based governance
pattern classification
Metrics
CICAndMal2017 dataset
machine learning-based ransomware detection
machine learning
learning (artificial intelligence)
invasive software
Human behavior
cryptology
computer networks
composability
classification methods
biblio
RansHunt: A Support Vector Machines Based Ransomware Analysis Framework with Integrated Feature Set
Submitted by grigby1 on Wed, 05/09/2018 - 2:53pm
ransomware families
malwares
Policy
Policy-Governed Secure Collaboration
Policy-Governed systems
pubcrawl
RansHunt
Ransomware
ransomware analysis framework
malware
ransomware samples
ransomware variants
sandboxing
static analysis
static code features
static features
Support vector machines
Algorithm design and analysis
machine learning
learning (artificial intelligence)
invasive software
integrated feature set
individual analysis approach
hybrid cryptosystem
Heuristic algorithms
feature extraction
Electronic mail
dynamic analysis
cyber-crime
Cryptography
crypto-ransomwares
composability
collaboration
