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Phishing Detection with Image Retrieval Based on Improved Texton Correlation Descriptor

Computers, Materials & Continua 2018年第12期57卷 533-547页

作者： Guoyuan Lin Bowen Liu Pengcheng Xiao Min Lei Wei Bi School of Computer Science and Technology China University of Mining&TechnologyXuzhou221116China State Key Laboratory for Novel Software Technology hosted at Nanjing University Nanjing210023China Department of Mathematics University of EvansvilleIndiana47722USA Information Security Center Beijing University of Posts and TelecommunicationsBeijing100876China SeeleTech corporation San Francisco94107USA zabatech corporation Beijing100088China

Anti-detection is becoming as an emerging challenge for *** paper solves the threats of anti-detection from the threshold setting *** webpages are considered to complicate threshold setting condition when the threshold is *** to the common visual behavior which is easily attracted by the salient region of webpages,image retrieval methods based on texton correlation descriptor(TCD)are improved to obtain enough webpages which have similarity in the salient region for the images of *** are two steps for improving TCD which has advantage of recognizing the salient region of images:(1)This paper proposed Weighted Euclidean Distance based on neighborhood location(NLW-Euclidean distance)and double cross windows,and combine them to solve the problems in TCD;(2)Space structure is introduced to map the image set to Euclid space so that similarity relation among images can be used to complicate threshold setting *** results show that the proposed method can improve the effectiveness of anti-phishing and make the system more stable,and significantly reduce the possibilities of being hacked to be used as mining systems for blockchain.

关键词： Anti-phishing blockchain texton correlation descriptor weighted euclidean distance image retrieval

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