Malicious URLs Detection Based on a Novel Optimization Algorithm
Bo Wang, Zhang B. FANG, Liu X. WEI, Zou Cheng, Zhang Hua
Abstract
In this paper, the issue of malicious URL detection is investigated. Firstly a P system is proposed. Then the new P system is introduced to design the optimization algorithm of BP neural network to achieve the malicious URL detection with better performance. In the end some examples are included and corresponding experimental results display the advantage and effectiveness of the optimization algorithm proposed.
Topics & Concepts
Computer scienceOptimization algorithmAlgorithmArtificial neural networkData miningArtificial intelligenceMachine learningMathematical optimizationMathematicsSpam and Phishing DetectionAdvanced Malware Detection TechniquesNetwork Security and Intrusion Detection