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Automatic analysis and classification of obfuscated bot binaries
Ying-Dar Lin
, Yi Ta Chiang
*
,
Yu-Sung Wu
, Yuan Cheng Lai
*
Corresponding author for this work
Department of Computer Science
Research output
:
Contribution to journal
›
Article
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peer-review
2
Scopus citations
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Computer Science
Automatic Classification
100%
Obfuscation
100%
Botnets
100%
System Calls
100%
Automatic Analysis
100%
Classification Process
50%
Internet Security
50%
Analysis Framework
50%
Instruction Sequence
50%
Pattern Matching
50%
Malware Detection
50%
Analysis Process
50%
True Positive Rate
50%
Good Understanding
50%
String Pattern
50%
True Negative
50%
Defense Strategy
50%
Runtime Systems
50%
Keyphrases
Automatic Classification
100%
Obfuscation
100%
Automatic Analysis
100%
Botnet
66%
System Call Traces
66%
Popular
33%
Experiment Results
33%
String Matching
33%
Classification Process
33%
Framework Analysis
33%
Internet Security
33%
Instruction Sequences
33%
Malware Detection
33%
Filtering Rules
33%
False Negative Rate
33%
Effective Analysis
33%
Longest Common Subsequence
33%
True Positive Rate
33%
Traffic Filtering
33%
Defense Strategy
33%
Runtime Systems
33%
Filter Detection
33%
Binary Obfuscation
33%