[PDF] Top 20 Phishing Analysis in URL Using Machine Learning
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Phishing Analysis in URL Using Machine Learning
... Nevertheless, the statistical-based classification is not per-fect. There are primarily three limitations. Firstly, it is difficult and expensive to obtain a balanced training data set with the uniformly distributed ... See full document
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Title: A Review: Phishing Detection using URLs and Hyperlinks Information by Machine Learning Approach
... etc. Phishing is the social engineering attacks and currently attacks on mobile ...techniques using URL, Hyperlinks features that can be used to differentiate between the defective and non-defective ... See full document
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Detecting Spam Classification on Twitter Using URL Analysis, Natural Language Processing and Machine Learning
... Abstract- In the present day world, people are so much habituated to Social Networks. Because of this, it is very easy to spread spam contents through them. One can access the details of any person very easily through ... See full document
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Machine Learning Algorithms for Questing of Phishing URLs
... spoofed-mails; phishing software is used to steal privacy data and financial ...of phishing web sites by analyzing fraudulent features of benign and phishing URLs assessed by Machine ... See full document
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Intelligent phishing url detection using association rule mining
... of phishing tech- niques create an enormous challenge in web ...the URL matches with N top search result and is considered as ...with machine learning technique to identify phishing web ... See full document
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A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites
... applied machine learning (ML) approaches for predicting zero hour phishing ...the URL, for the prediction. By evaluating the features using seven classifiers, Random Forest produced the ... See full document
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Land Titling: A Sine Qua Non For Enhancing Property Taxation
... Malicious URL detection plays a serious role for many cyber security applications, and networking ...a phishing page or become target to a drive-by download resulting in a malware ...showed phishing ... See full document
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Detection of Phishing Website using Machine Learning
... of phishing attack ...the phishing attack based on checking phishing websites features, Blacklist and WHOIS ...checked using several criteria such as IP Address, long URL address, ... See full document
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Phishing Website Detection based on Machine Learning
... A phishing website’s URL have some unique characteristics which make it different from the URLs of the legitimate web ...networks, URL is used ... See full document
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Phish Alert: An Efficient Phishing URL Detection via Hybrid Methodology
... recognize phishing sites and also examines the website page code and utilizes TF- IDF to identify the keywords which frequently ...applied machine learning techniques to identify phishing ... See full document
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INCORPORATION OF NEGOTIATION PROCESS INTO AN E COMMERCE PLATFORM TO INCREASE SALES
... the Phishing attacks. Unlike email, Phishers have started using OSNs typically Twitter as a medium to spread Phishing due to its vast information dissemination and difficult to be detected because of ... See full document
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Preventing Phishing Attack using Evolutionary Algorithms
... method using SVM classification. SVM is a supervised Machine learning algorithm which can be mainly used for ...the phishing and legitimate sites by using the kernel functions such as ... See full document
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Analysis of various Machine Learning Techniques to Detect Phishing Email
... Microsoft Azure platform provides tools for machine learning. In these experiments, the two class boosted decision tree and the two class support vector machine (SVM) were used as spam classifiers. ... See full document
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Machine Learning Framework to Analyze Against Spear Phishing
... implement machine learning based ensemble algorithm on dataset to fit into the models that can be understood and executed by ...and machine learning concepts that can be implemented on the ... See full document
7
Agro Genius: Crop Prediction using Machine Learning
... Abstract:- This paper present a way to aid farmers focusing on profitable vegetable cultivation in Sri Lanka. As agriculture creates an economic future for developing countries, the demand of modern technologies in this ... See full document
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A practical rule based technique by splitting SMS phishing from SMS spam for better accuracy in mobile device
... Thus, to replace SMS spam that contain URL to the phishing class is not proposed- As an alternative, a rule based technique was dcveloped to split the SMS phishing from SMS sparn accordi[r] ... See full document
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A Data Mining approach to Deal with Phishing URL Classification Problem
... the phishing attack is one of the serious and complex ...malicious URL is pushed to the user and user visit the URLs and provides their confidential information to the ... See full document
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How Bigdata Analytics and Machine Learning can help in Social Engineering (Phishing)
... action. Phishing emails also have some link where victims must click, and it will guide to other website/web page where personal information/credentials are ...Ant phishing working people, 25000 ... See full document
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Artificial Neural Network for Websites Classification with Phishing Characteristics
... summary, phishing is a technique used on the Internet by criminals for online ...as learning, association, generalization and ab- straction when subjected to ...with phishing cha- ... See full document
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A NOVEL APPROACH TO GENERATE DISTRIBUTED GLOBAL AND LOCAL USE CASES: A NEW NOTATION
... a phishing website. The abnormal attributes that usually appear on phishing website include some uncommon symbols in the URL and some irregular HTML form and title ...the phishing detection ... See full document
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