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A Proactive Approach to Detect IoT Based Flooding Attacks by Using Software Defined Networks and Manufacturer Usage Descriptions

Abstract The advent of the Internet of Things (IoT) and its increasing appearances in

Small Office/Home Office (SOHO) networks pose a unique issue to the availability

and health of the Internet at large. Many of these devices are shipped insecurely, with

poor default user and password credentials and oftentimes the general consumer does

not have the technical knowledge of how they may secure their devices and networks.

The many vulnerabilities of the IoT coupled with the immense number of existing

devices provide opportunities for malicious actors to compromise such devices and

use them in large scale distributed denial of service attacks, preventing legitimate

users from using services and degrading the health of the Internet in general.

T... (more)
Created Date 2018
Contributor Chang, Laurence Hao (Author) / Yau, Stephen (Advisor) / Doupe, Adam (Committee member) / Huang, Dijiang (Committee member) / Arizona State University (Publisher)
Subject Computer science
Type Masters Thesis
Extent 106 pages
Language English
Note Masters Thesis Computer Science 2018
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis