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.

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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).

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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: 30 Jul 2019 06:13
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