Title:
Physical signal-based intrusion detection for cyber physical systems
Physical signal-based intrusion detection for cyber physical systems
Author(s)
Bayens, Christian Johannes
Advisor(s)
Beyah, Raheem A.
Cohen, Morris B.
Zonouz , Saman A.
Cohen, Morris B.
Zonouz , Saman A.
Editor(s)
Collections
Supplementary to
Permanent Link
Abstract
In recent years, a significant emerging target of cyber-based attacks by nation-states and other advanced groups is cyber-physical systems (CPS). These attacks target major utility, manufacturing, or public service infrastructure in order to collect ransom or intellectual property. A major feature of these attacks is the ability to spoof network traffic to indicate normal activity to a user while malicious instructions are sent to the physical machinery. This thesis investigates methods by which physical sensing and signal analysis may
be used as intrusion detection in such a scenario. For the sector of additive manufacturing (AM), we use audio classification and motion detection to identify malicious prints. For the power utility sector, we use a specialized low-frequency radio receiver to detect switching events which can then be compared to network traffic to detect the presence of malicious activity.
Sponsor
Date Issued
2017-04-26
Extent
Resource Type
Text
Resource Subtype
Thesis