Detecting Concurrent Distributed Anomalies in Multi-Domain SDN

Katiyar, Rohit (2016) Detecting Concurrent Distributed Anomalies in Multi-Domain SDN. Masters thesis, Indian Institute of Technology Hyderabad.

[img] Text
CS13M1016.pdf - Submitted Version
Restricted to Registered users only until 12 July 2019.

Download (4MB) | Request a copy

Abstract

Anomaly Detection is essential to understand the di ff erence between normal and anomalous tra ffi c. An anomaly maybe something that disrupts the network or allows an attacker unwanted access to modify or steal data. An anomaly in a network may occur at various layers. There are applica- tion speci fi c anomalies which attack a speci fi c application or group of applications e.g., MAC layer anomalies mostly DOS/DDOS attacks and anomaly at transport layer is SYN-Flood Attack. It’s a very widely studied concept in both traditional and Software-de fi ned Networking (SDN).

[error in script]
IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: Concurrent, Distributed, Anomalies, SDN, Attacks, DoS, TD652
Subjects: Computer science > Big Data Analytics
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 09 Sep 2016 10:29
Last Modified: 09 Sep 2016 10:29
URI: http://raiith.iith.ac.in/id/eprint/2744
Publisher URL:
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 2744 Statistics for this ePrint Item