Data mining

biblio

A New Technique for Detecting Android App Clones Using Implicit Intent and Method Information

Submitted by aekwall on Mon, 08/10/2020 - 10:32am

Metrics
android encryption
repackaged apps
online markets
method information
malicious codes
intent
implicit intents
code obfuscation techniques
Cloning
clone detection
class method
Android app clones detection
Andorid app
Code Obfuscation
Scalability
Android ecosystem
reverse engineering
Android (operating system)
Data mining
tools
pubcrawl
Human behavior
Resiliency
feature extraction
mobile computing
invasive software
malware
encryption

biblio

Overprivileged Permission Detection for Android Applications

Submitted by aekwall on Mon, 08/10/2020 - 10:32am

Data mining
android encryption
permission mechanism
overprivileged permission detection
frequent item set mining
Droidtector
App protection technology
Android system
smartphone
Metrics
Android applications
Android (operating system)
Cameras
security of data
smart phones
tools
privacy
Google
pubcrawl
Human behavior
Resiliency
privacy leakage
mobile computing
data privacy
encryption
Scalability

biblio

PRADA: Protecting Against DNN Model Stealing Attacks

Submitted by aekwall on Mon, 08/03/2020 - 10:38am

nontargeted adversarial examples
Adversarial Machine Learning
API queries
confidentiality protection
DNN model extraction attacks
DNN model stealing attacks
machine learning applications
ML models
model extraction attacks
model stealing
model extraction
PRADA
prediction accuracy
prediction API
prior model extraction attacks
stolen model
transferable adversarial examples
well-defined prediction APIs
Adversary Models
Neural networks
Scalability
learning (artificial intelligence)
Resiliency
Human behavior
pubcrawl
Computational modeling
Metrics
neural nets
security of data
query processing
Business
Training
Mathematical model
Data mining
Predictive models
Deep Neural Network
application program interfaces

biblio

Same App, Different Countries: A Preliminary User Reviews Study on Most Downloaded iOS Apps

Submitted by grigby1 on Thu, 07/30/2020 - 2:33pm

iOS Security
User Reviews Analysis
US App Store
Text Mining
software maintenance
software evolution
requirement engineering
preliminary user reviews study on most downloaded iOS apps
mobile app reviews
mining
differentiate reviews
App Store Analytics
analyzing user reviews
643 user reviews
300 user reviews
15 most downloaded iOS apps
security
Google
Software algorithms
operating systems (computers)
Compositionality
Metrics
mobile computing
software quality
Resiliency
resilience
Human Factors
Human behavior
pubcrawl
Forestry
Data mining

biblio

Privacy Mining of Large-scale Mobile Usage Data

Submitted by grigby1 on Thu, 07/30/2020 - 2:32pm

machine learning tools
android
mobile devices
ios
iOS (operating system)
mobile network
privacy leakage detection
iOS Security
iOS system
inference mechanisms
mobile privacy leakage
mobile traffic data
mobile usage data
privacy analysis
privacy detection model
privacy inference mining
privacy mining
private usage patterns
data privacy
security of data
data analysis
Data mining
pubcrawl
Human behavior
Human Factors
resilience
Resiliency
learning (artificial intelligence)
privacy
Object recognition
mobile computing
smart phones
Metrics
Compositionality
password

biblio

Profiling of secure chat and calling apps from encrypted traffic

Submitted by aekwall on Mon, 07/27/2020 - 12:20pm

nonreadable contents
ios
android
chat and voice/ video app
chat apps
cryptograhically secure sessions
encrypted traffic
iOS mobile platform
network forensic
Windows
secure app
secure chat profiling
service provider networks
voice/ video apps
voice/ video calling apps
voice/ video calls
iOS Security
internet
Cryptography
Protocols
Trusted Computing
mobile computing
Resiliency
pubcrawl
Social network services
Metrics
Servers
Forensics
Data mining
security architecture
Human Factors
Android (operating system)
confidentiality
Compositionality

biblio

Performance Evaluation of Intrusion Detection Streaming Transactions Using Apache Kafka and Spark Streaming

Submitted by aekwall on Mon, 07/27/2020 - 12:14pm

cybersecurity intrusion detection
Sparks
Real-Time Decision Making
intrusion tolerance
Processing time
Big Data Analytics
apache kafka
Apache Spark Streaming
complex attacks
performance evaluation
extremely competitive financial market
high-level protection
intrusion detection streaming transactions
intrusion detection system
massive Internet-based services
short period time
Spark Streaming
stream data
machine learning
security of data
Big Data
real-time systems
Resiliency
pubcrawl
composability
internet
Decision Making
Intrusion Detection
telecommunication traffic
data analysis
Government
Data mining
fault tolerant computing
network traffic
parallel processing

biblio

Light-weight white-box encryption scheme with random padding for wearable consumer electronic devices

Submitted by aekwall on Mon, 07/20/2020 - 10:45am

white-box attacks
white box cryptography
white-box attack contexts
wearabledevices
wearable consumer electronic devices
wearable computing
random secret components
random padding
physical nature
low computational power
limited memory
lightweight white box encryption scheme
decryption algorithms
Consumer electronics
Cryptography
cryptosystem
wearable computers
Wearable devices
Context
privacy protection
pubcrawl
Data mining
Metrics
composability
Resiliency
performance evaluation
encryption

biblio

The Anti-Data-Mining (ADM) Framework - Better Privacy on Online Social Networks and Beyond

Submitted by aekwall on Mon, 07/13/2020 - 11:06am

New Paradigms for Privacy
big data security
Cloud Privacy
data centers
deception
eavesdropping governments
enhanced privacy
enormous growth
Financial Terminal Privacy
financial terminal providers
Financial Terminal Security
Future of Privacy
information accumulators
big data privacy
Obfuscation for Privacy
Privacy against Ad Networks
Privacy against timing attacks
Search Engine Privacy
sensitive data suppression
social network
social-bots
unprecedented growth
user privacy
users privacy
user privacy in the cloud
obfuscation
Big Data
data privacy
security
Resiliency
pubcrawl
privacy
Facebook
online social networks
social networking (online)
Metrics
Data mining
Scalability
Cloud Computing
Cloud Security
search engines
disinformation
ADM
Adversarial Face Detection
Adversarial Face Recognition
Adversarial Machine Learning
adversaries
Advertising Privacy
Anti-Data-Mining
anti-data-mining principle

biblio

Detecting cryptocurrency miners with NetFlow/IPFIX network measurements

Submitted by grigby1 on Fri, 07/10/2020 - 1:08pm

Internet activity
unknown mining servers
telecommunication traffic
telecommunication computing
Resiliency
resilience
pubcrawl
NetFlow network measurements
NetFlow measurements
mine cryptocurrencies
Metrics
machine learning
learning (artificial intelligence)
IPFIX network measurements
IP networks
computer network security
internet
Human Factors
Human behavior
DNS traffic
Distributed databases
deep packet inspection
Data mining
Cryptojacking detection
cryptojacking
cryptocurrency mining
cryptocurrency miner detection
cryptocurrencies
cost-efficiency miner detection

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Cyber-Physical Systems Virtual Organization

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

Data mining

A New Technique for Detecting Android App Clones Using Implicit Intent and Method Information

Overprivileged Permission Detection for Android Applications

PRADA: Protecting Against DNN Model Stealing Attacks

Same App, Different Countries: A Preliminary User Reviews Study on Most Downloaded iOS Apps

Privacy Mining of Large-scale Mobile Usage Data

Profiling of secure chat and calling apps from encrypted traffic

Performance Evaluation of Intrusion Detection Streaming Transactions Using Apache Kafka and Spark Streaming

Light-weight white-box encryption scheme with random padding for wearable consumer electronic devices

The Anti-Data-Mining (ADM) Framework - Better Privacy on Online Social Networks and Beyond

Detecting cryptocurrency miners with NetFlow/IPFIX network measurements