Title:
Physical signal-based intrusion detection for cyber physical systems
Physical signal-based intrusion detection for cyber physical systems
| dc.contributor.advisor | Beyah, Raheem A. | |
| dc.contributor.advisor | Cohen, Morris B. | |
| dc.contributor.advisor | Zonouz , Saman A. | |
| dc.contributor.author | Bayens, Christian Johannes | |
| dc.contributor.department | Electrical and Computer Engineering | |
| dc.date.accessioned | 2018-05-31T18:11:32Z | |
| dc.date.available | 2018-05-31T18:11:32Z | |
| dc.date.created | 2017-05 | |
| dc.date.issued | 2017-04-26 | |
| dc.date.submitted | May 2017 | |
| dc.date.updated | 2018-05-31T18:11:32Z | |
| dc.description.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. | |
| dc.description.degree | M.S. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1853/59808 | |
| dc.language.iso | en_US | |
| dc.publisher | Georgia Institute of Technology | |
| dc.subject | Cyber physical systems | |
| dc.subject | Electromagnetism | |
| dc.subject | Low frequency | |
| dc.subject | Acoustic | |
| dc.subject | Classification | |
| dc.subject | Digital signal processing | |
| dc.subject | Security | |
| dc.subject | Cyber physical security | |
| dc.subject | Power grid | |
| dc.subject | Power systems | |
| dc.subject | 3D printing | |
| dc.subject | Additive manufacturing | |
| dc.title | Physical signal-based intrusion detection for cyber physical systems | |
| dc.type | Text | |
| dc.type.genre | Thesis | |
| dspace.entity.type | Publication | |
| local.contributor.advisor | Beyah, Raheem A. | |
| local.contributor.advisor | Cohen, Morris B. | |
| local.contributor.advisor | Zonouz, Saman A. | |
| local.contributor.corporatename | School of Electrical and Computer Engineering | |
| local.contributor.corporatename | College of Engineering | |
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| thesis.degree.level | Masters |