Sec-lib: Protecting scholarly digital libraries from infected papers using active machine learning framework

Keyphrases

• PDF Documents 100%
• Scholarly Digital Library 100%
• Machine Learning Framework 100%
• Active Machine Learning 100%
• Malicious PDF 60%
• Malware 40%
• Attacker 20%
• Cyber-attacks 20%
• Vulnerability 20%
• Digital Libraries 20%
• Security Analysts 20%
• Detection Framework 20%
• Manual Inspection 20%
• Innocent 20%
• Security Solutions 20%
• Scholarly Articles 20%
• Malware Distribution 20%
• Corporate Sector 20%
• Vulnerability Distribution 20%
• Layered Detection 20%
• Unknown Malware 20%
• Machine Learning Based 20%
• US Universities 20%
• Distribution-based Approach 20%
• Citeseerx 20%
• Two-layered 20%

Computer Science

• Learning Framework 100%
• Machine Learning 100%
• Learning System 100%
• Digital Library 100%
• Malware 50%
• Attackers 16%
• Cyber Attack 16%
• Security Expert 16%
• Security Solution 16%
• Unknown Malware 16%
• United States of America 16%