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.
|Contributor||Chang, Laurence Hao (Author) / Yau, Stephen (Advisor) / Doupe, Adam (Committee member) / Huang, Dijiang (Committee member) / Arizona State University (Publisher)|
|Note||Masters Thesis Computer Science 2018|
|Collaborating Institutions||Graduate College / ASU Library|
|Additional Formats||MODS / OAI Dublin Core / RIS|