Statistical Techniques For Detecting Traffic Anomalies Through Packet Header Data

32 pages ID: CPU2370

Full material

₦ 5,000 $(29)
Pages32
DeliveryInstant, after payment
Order & Download Now Ask a question on WhatsApp

Project Details

DepartmentComputer Science
TypeProject
Pages32
Reference StyleYES
FormatMS Word & PDF
Reference No.CPU2370

Abstract

ABSTRACTThis paper proposes a traffic anomaly detector, operated in postmortem and in real-time, by passively monitoring packet headers of traffic. The frequent attacks on network infrastructure, using various forms of denial of service attacks, have led to an increased need for developing techniques for analyzing network traffic. If efficient analysis tools were available, it could become possible to detect the attacks, anomalies and to take action to contain the attacks appropriately before they have had time to propagate across the network. In this paper, we suggest a technique for traffic …

This is a preview.Unlock the full abstract, all chapters and references.
Unlock Full Material

Full material

₦ 5,000 $(29)
Pages32
DeliveryInstant, after payment
Order & Download Now Ask a question on WhatsApp
WhatsApp Us