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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

antivirus applications

biblio

Visible to the public DeCrypto Pro: Deep Learning Based Cryptomining Malware Detection Using Performance Counters

Submitted by grigby1 on Fri, 01/22/2021 - 2:38pm
  • DeCrypto Pro
  • LSTM
  • defense mechanisms
  • advanced persistent threats
  • antivirus applications
  • APTs
  • behavior profiling
  • benign compression
  • classification model
  • collaborative attacks
  • computational resources
  • cryptographic operations
  • cryptojacking
  • cryptomining
  • Long short-term memory
  • DeCrypto Profiler framework
  • deep cryptomining profiler
  • mission-critical cybersystems
  • model selection
  • operating context profiling system
  • performance counters
  • Ransomware
  • system features
  • system functionalities
  • Trojan Laziok
  • utility function
  • Windows performance counters
  • cyberattacks
  • Predictive models
  • machine learning
  • Data mining
  • pubcrawl
  • Human behavior
  • Metrics
  • resilience
  • Resiliency
  • Scalability
  • Data models
  • Computational modeling
  • random forests
  • recurrent neural nets
  • Cryptography
  • deep learning
  • pattern classification
  • malware
  • invasive software
  • malware detection
  • nearest neighbour methods
  • k-nearest neighbors
  • Random Forest
  • advanced persistent threat
  • APT
  • deep neural networks
  • encoding

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