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System Call-Based Detection of Malicious Processes
Raymond Canzanese
, Spiros Mancoridis
,
Moshe Kam
Electrical and Computer Engineering
Office of the Dean - NCE
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
66
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Scopus citations
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Keyphrases
Detection Accuracy
100%
System Call Analysis
100%
System Call
100%
Malicious Processes
100%
Processing Methods
50%
Popular
50%
Detection Method
50%
Detection System
50%
Support Vector Machine
50%
Logistic Support
50%
Feature Selection
50%
Logistic Regression
50%
Malware
50%
Malware Sample
50%
Production Environment
50%
Feature Extraction Methods
50%
Model Complexity
50%
Small Sets
50%
False Positive Rate
50%
Log-likelihood Ratio
50%
Malware Detection
50%
Detection Result
50%
Ease of Implementation
50%
Compromised Host
50%
Host Configuration
50%
System Monitoring
50%
Evade
50%
Multi-scale Feature Extraction
50%
Behavioral Malware Detection
50%
Regression Vector
50%
Computer Science
Malicious Process
100%
System Calls
100%
Detection Accuracy
50%
Feature Extraction
50%
Case Study
25%
Experimental Result
25%
Feature Selection
25%
Detection Method
25%
Logistic Regression
25%
Malware Sample
25%
Production Environment
25%
System Monitor
25%
False Positive Rate
25%
Processing Method
25%
Likelihood Ratio
25%
Malware Detection
25%
Detect Malware
25%
Compromised Host
25%
Host Configuration
25%
Executing Process
25%
Support Vector Machine
25%