An improved ELM-based and data preprocessing integrated approach for phishing detection considering comprehensive features

Liqun Yang
Liqun Yang
Xiaozhe Wang
Xiaozhe Wang
Zhi Li
Zhi Li
Yueying He
Yueying He

Expert Syst. Appl., pp. 1138632021.

Cited by: 0|Views12
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Abstract:

Abstract In this paper, a novel approach based on non-inverse matrix online sequence extreme learning machine (NIOSELM) for phishing detection is presented, which takes into account three types of features to comprehensively characterize a website. For the NIOSELM algorithm, we use Sherman Morriso Woodbury equation to avoid the matrix i...More

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