International Journal of Management, IT and Engineering
  • Year: 2014
  • Volume: 4
  • Issue: 12

Finding patterns of DNS packets from the clustered internet traffic data

  • Author:
  • Rohini Badgujar, Shrikant Lade
  • Total Page Count: 8
  • Page Number: 294 to 301

*M. Tech Scholar, Department of Computer Science and Engineering Engineering, RKDF Institute of science and Technology, (R.G.P.V), Bhopal

**Asst. Professor, Department of Computer Science and Engineering Engineering, RKDF Institute of science and Technology, (R.G.P.V), Bhopal

Online published on 24 January, 2015.

Abstract

The Domain name Service (DNS) offers a discriminating capacity in pointing Internet targeted visitors. Shielding DNS hosting space from move speed approaches is supported from the capability for you to viably my personal DNS log information intended for measurable designs. Processing as well as handling DNS log information can be classified because data-intensive issue, and the idea represents issues special to this particular class involving issue. On the point as soon as issues come about in finding log info, or if the DNS server encounters a blackout (booked or maybe unscheduled), the standard pattern involving traffic for your server obtains blurred. Basic direct insertion from the openings in the information isn't going to save gimmicks, by way of example, crests with traffic (which can happen throughout the ambush, doing them especially note). In this particular paper a novel regular trend mining method is proposed, or a periodic tendency pattern based traffic conjecture method. Clustering is adopted for you to partition numerous websites into different groups from the characteristics in their query targeted visitors time series.

Keywords

Clustering, Data mining, Pattern extraction, Pattern matching, Rule mining etc