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Prediction of Malicious Domains Using Smith Waterman Algorithm

  • B. AshwiniEmail author
  • Vijay Krishna Menon
  • K. P. Soman
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 625)

Abstract

IT security is an issue in today world. This is due to many reasons such as, malicious domains. Predicting the malicious domain in a set of domains is important. Here we have proposed a method for analysing such domains. In this method Wireshark is used for capturing the network packets. These packets are further given to client server machine and store in server database which makes an interface between the wireshark and machine. The data from the server database are then compared with the dictionary to predict the malicious websites. It is identified in such a way that if a word in a domain matches with any one of the dictionary word then it is considered as non-malicious websites others are malicious websites.

Keywords

Domain Name System (DNS) Data acquisition Wireshark Malicious Smith-Waterman 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2016

Authors and Affiliations

  • B. Ashwini
    • 1
    Email author
  • Vijay Krishna Menon
    • 1
  • K. P. Soman
    • 1
  1. 1.Centre for Computational Engineering and Networking (CEN)Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapetham, Amrita UniversityCoimbatoreIndia

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