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Enhancement of Detecting Wicked Website Through Intelligent Methods

  • Tarik A. RashidEmail author
  • Salwa O. MohamadEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 625)

Abstract

Noticeably, different environments of wicked website include different types of information which could be a threat for all web users such as incitement for hacking sites and encouraging them for spreading notions through learning theft networks, Wi-Fi, websites, internet forums, Facebook, email accounts, etc. The proposed work deals with sites to protect from hacking through designing a method that takes full advantage of machine learning and intelligent systems’ capabilities to realize the informative contents. The ultimate goal of this work of research is to understand the system behavior and determine the best solution to secure the vulnerable users, state and society via Random Forest (RF) and Support Vector Machines (SVM) methods instead of traditional methods. Random Forest exhibited Promising Results in terms of accuracy.

Keywords

Arabic websites Multi-class Random forest 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2016

Authors and Affiliations

  1. 1.Software and Informatics EngineeringCollege of Engineering, Salahaddin University-ErbilHawlerIraq
  2. 2.School of Computer ScienceCollege of Science, University of SulaimaniaSulaimaniaIraq

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