GitHub - V1shal-dev/Enhanced-AI-Driven-Malware-Detection: Developed an N-stage malware detection pipeline using multiple algorithms, improving detection accuracy by 98% and reducing response time by 40%. Integrated real-time monitoring with AI to minimize false positives and enhance cyber- security defense.

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Name		Name	Last commit message	Last commit date
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Backups		Backups
icons		icons
models		models
yrc		yrc
.gitattributes		.gitattributes
MLstage.py		MLstage.py
Stage4DecompileScript.java		Stage4DecompileScript.java
antivirus_config.json		antivirus_config.json
antivirus_log.log		antivirus_log.log
config.py		config.py
history.py		history.py
icon.png		icon.png
msfmd-final.py		msfmd-final.py
msfmd.py		msfmd.py
realtime_scanner.py		realtime_scanner.py
requirements.txt		requirements.txt
s4.py		s4.py
scan_history.log		scan_history.log
stage-4.py		stage-4.py
stage1.py		stage1.py
stage14.py		stage14.py
stage2.py		stage2.py
stage4-rdr2.py		stage4-rdr2.py
stage4.py		stage4.py
update.py		update.py
v2_excluded_rules.txt		v2_excluded_rules.txt

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Developed an N-stage malware detection pipeline using multiple algorithms, improving detection accuracy by 98% and reducing response time by 40%. Integrated real-time monitoring with AI to minimize false positives and enhance cyber- security defense.

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