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Collective Attestation: for a Stronger Security in Embedded Networks

Ibrahim, Ahmad (2018)
Collective Attestation: for a Stronger Security in Embedded Networks.
IEEE. Salvador, Brazil, Brazil (02.10.2018-05.10.2018)
doi: 10.1109/SRDS.2018.00039
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Embedded devices are increasingly permeating our environment to collect data and act on the insight derived. Examples of such devices include smart environments and autonomous systems. The increasing ability to connect, communicate with, and remotely control such devices via the legacy internet has raised considerable security and privacy concerns. One key mechanism to protect the software integrity of these devices is attestation. In this dissertation, we devise attestation schemes that are scalable and applicable for large networks of embedded devices. In particular, we present attestation schemes that are capable of detecting remote malware infestation, physical, and run-time attacks in different settings including smart environments and autonomous systems.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2018
Autor(en): Ibrahim, Ahmad
Art des Eintrags: Bibliographie
Titel: Collective Attestation: for a Stronger Security in Embedded Networks
Sprache: Englisch
Publikationsjahr: 2 Oktober 2018
Veranstaltungstitel: IEEE
Veranstaltungsort: Salvador, Brazil, Brazil
Veranstaltungsdatum: 02.10.2018-05.10.2018
DOI: 10.1109/SRDS.2018.00039
Kurzbeschreibung (Abstract):

Embedded devices are increasingly permeating our environment to collect data and act on the insight derived. Examples of such devices include smart environments and autonomous systems. The increasing ability to connect, communicate with, and remotely control such devices via the legacy internet has raised considerable security and privacy concerns. One key mechanism to protect the software integrity of these devices is attestation. In this dissertation, we devise attestation schemes that are scalable and applicable for large networks of embedded devices. In particular, we present attestation schemes that are capable of detecting remote malware infestation, physical, and run-time attacks in different settings including smart environments and autonomous systems.

Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Systemsicherheit
Profilbereiche
Profilbereiche > Cybersicherheit (CYSEC)
Hinterlegungsdatum: 04 Feb 2019 07:57
Letzte Änderung: 04 Feb 2019 07:57
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