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[PDF] Top 20 Classification of Malicious URLS for Web Using Ripper Algorithm

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Classification of Malicious URLS for Web Using Ripper Algorithm

Classification of Malicious URLS for Web Using Ripper Algorithm

... to RIPPER algorithm, it is clear from the confusion matrix of the true positive rate of this algorithms proportion of examples which were classified the last rule, among all examples which truly have rules, ... See full document

5

Email Phishing: An Enhanced Classification Model to Detect Malicious URLs

Email Phishing: An Enhanced Classification Model to Detect Malicious URLs

... cybercrime. Malicious URL are challenging threat in cyber space which steals the user’s sensitive ...Phishing URLs are challenging threat in cyber space which steal the user’s sensitive ...are using ... See full document

12

Malicious Websites Classification Based On Web Address Features

Malicious Websites Classification Based On Web Address Features

... on using very large data sets and also short life cycle of malicious URL’s ...a malicious web site browser may warn for not disclose and compromise their personal ...of web page ... See full document

6

Malicious Website Detection Based on URLs Static Features

Malicious Website Detection Based on URLs Static Features

... URL-based malicious website detection. Based on the analysis of malicious URLs construction pattern, this paper puts forward a method to detect malicious website based on URLs static ... See full document

7

Machine Learning Approach for Classifying Malicious URLs

Machine Learning Approach for Classifying Malicious URLs

... on classification tasks, on par with or surpassing full-text and anchor text approaches in sure ...multiclass classification technique aimed toward finding malicious URL on the idea of some data each ... See full document

8

Analytic System Based on Prediction Analysis of Social Emotions from users

Analytic System Based on Prediction Analysis of Social Emotions from users

... to malicious post blocking using pattern matching algorithms, ration calculation based naïve baise classification for the classification of malicious user, determination of ... See full document

5

Machine Learning Approach for Detection of Malicious Urls and Spam in Social Network

Machine Learning Approach for Detection of Malicious Urls and Spam in Social Network

... detect malicious websites by verifying lexical features and host based features of ...in malicious URLs and their features over time can simply be ...of malicious websites ... See full document

5

Malicious Web Page Detection through Classification Technique: A Survey

Malicious Web Page Detection through Classification Technique: A Survey

... of malicious nature of web ...legitimate URLs (class label –1), one needs to apply a decision threshold, which is then used to control the fraction of false positive versus false negative ... See full document

6

WarningBird MailAlert Based Malicious URLs Blocker System in Twitter

WarningBird MailAlert Based Malicious URLs Blocker System in Twitter

... featuresof malicious landing pages that may not be ...real-time classification system using these features, and evaluated the system’s accuracy and ...timeline. Using offline supervised ... See full document

6

Predicate based Algorithm for Malicious Web Page Detection using Genetic Fuzzy Systems and Support Vector Machine

Predicate based Algorithm for Malicious Web Page Detection using Genetic Fuzzy Systems and Support Vector Machine

... trained using a set of manually created fuzzy rules with features as antecedence and consequences of the ...rule classification. Thus we are using radial basis function as kernel ... See full document

7

Second Order Online Active Learning based Malicious Web Classification

Second Order Online Active Learning based Malicious Web Classification

... Pernicious Web locales are a foundation of Internet criminal ...a Web website as it is visited. This system comprises a gathering of Web destinations & through the Internet clients access the ... See full document

5

Malicious Face Book Application Using FRAppE Algorithm

Malicious Face Book Application Using FRAppE Algorithm

... of web services such as social networks and URL shorteners, scams, phishing, and malware have become regular ...crawls URLs as they are submitted to web services and determines whether the ... See full document

9

Finding Malicious Web Page in Mobile

Finding Malicious Web Page in Mobile

... Tree-fashioned structures that correspond to sets of choices. These decisions generate rules for the classification of a dataset. Particular choice tree strategies encompass classification and Regression ... See full document

5

Web Page Classification Using Relational Learning Algorithm and Unlabeled Data

Web Page Classification Using Relational Learning Algorithm and Unlabeled Data

... By using first-order logic as the representational mechanism for hypotheses and examples, relational learning can overcome the two main limitations of classical machine learning techniques, 1) the use of a limited ... See full document

6

A Comparative Study on Web Crawling for
          searching Hidden Web

A Comparative Study on Web Crawling for searching Hidden Web

... one web page to other web page. It is a web tool for the search engines and other information seekers to gather data for indexing and to enable them to keep their database up to ...use web ... See full document

5

Performance Comparison between Keyword-based and Semantic-based Web Page Classification Systems

Performance Comparison between Keyword-based and Semantic-based Web Page Classification Systems

... To measure the performance of this system, this system uses the holdout method. It is the simplest kind of cross validation. The data set is separated into two sets, called the training set and the testing set. The ... See full document

9

Opinion classification system using supervised learning algorithm

Opinion classification system using supervised learning algorithm

... Wide Web has affected the way of making decisions on certain products because people posts online reviews immensely on Social ...through web using various supervised learning ...for ... See full document

5

ISSN: 2321-8363 UGC Approved Journal Impact Factor: 5.515

ISSN: 2321-8363 UGC Approved Journal Impact Factor: 5.515

... performed using digital ...URL classification a machine learning based data model is proposed and discussed proposed work on this ...phishing URLs, we work on the phish tank dataset with the proposed ... See full document

10

Semi supervised Graph based Genre Classification for Web Pages

Semi supervised Graph based Genre Classification for Web Pages

... genre classification by keeping them constant across the genre classes in the training ...genre classification. For that reason, we (Asheghi et al., 2014) created a web genre annotated corpus which ... See full document

9

N-grams Based Supervised Machine Learning Model for Mobile Agent Platform Protection against Unknown Malicious Mobile Agents

N-grams Based Supervised Machine Learning Model for Mobile Agent Platform Protection against Unknown Malicious Mobile Agents

... the agent or discard it; and to decide the trust level, privileges, resources and services that should be acknowledged to the agent if it is permitted to. Path History contains the identities of the current platform as ... See full document

7

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