LiveZilla Live Chat Software
Warning STRICT ERROR REPORTING IS ON
A minimum enclosing ball-based support vector machine approach for detection of Phishing websites

A minimum enclosing ball-based support vector machine approach for detection of Phishing websites

Starting at: Rs.4,500.00

4500 reward points

A minimum enclosing ball-based support vector machine approach for detection of Phishing websites

 A novel approach based on minimum enclosing ball support vector machine (BVM) to phishing Website detection is proposed, which aims at achieving high speed and high accuracy for detecting phishing Website. In order to enhance the integrity of the feature vectors, we ?rst perform an analysis of the topology structure of website according to the DOM tree and use the Web crawler to extract 12 topological features of the website. Then, the feature vectors are detected by BVM classi?er. Compared with the general SVM, this method has relatively high precision of detecting, and complements the dis-advantage of slow speed of convergence on large-scale data. The experimental results show that the proposed method has better performance than SVM, and further validate the validity and correctness of our scheme.


 


ClickMyProject Specifications
 
 
Including Packages
 
Specialization
 
  * Supporting Softwares   * 24/7 Support
  * Complete Source Code   * Ticketing System
  * Complete Documentation   * Voice Conference
  * Complete Presentation Slides   * Video On Demand *
  * Flow Diagram   * Remote Connectivity *
  * Database File   * Code Customization **
  * Screenshots   * Document Customization **
  * Execution Procedure   * Live Chat Support
  * Readme File   * Toll Free Support *
  * Addons    
  * Video Tutorials    
       
 

*- PremiumSupport Service (Based on Service Hours) ** - Premium Development Service (Based on Requirements)


Add to Cart:

  • Model: PROJ5119
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

Please Choose:

Downloadable







This product was added to our catalog on Monday 12 September, 2016.

  0