Stoettinger, Marc ; Huss, Sorin ; Mühlbach, Sascha ; Koch, Andreas (2010)
Side-Channel Resistance Evaluation of a Neural Network Based Lightweight Cryptography Scheme.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Side-channel attacks have changed the design of secure cryptographic systems dramatically. Several published attacks on implementations of well known algorithms such as, e.g., AES, show the need to consider these aspects to build more resistant cryptographic systems. On the other hand, with the increasing use of cryptography in embedded systems a significant demand exists for cryptographic algorithms that are both resource- and power-efficient. These can be either modified existing or completely new ones. One of the candidates for such a new algorithm is the Tree Parity Machine Public Key Exchange, an algorithm based on artificial neural networks. While it has been evaluated in a number of practical applications in the past, its side-channel resistance has not been examined yet. We would like to close this gap and present a side-channel attack strategy as well as results gathered from measurements made on a real implementation.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2010 |
| Autor(en): | Stoettinger, Marc ; Huss, Sorin ; Mühlbach, Sascha ; Koch, Andreas |
| Art des Eintrags: | Bibliographie |
| Titel: | Side-Channel Resistance Evaluation of a Neural Network Based Lightweight Cryptography Scheme |
| Sprache: | Englisch |
| Publikationsjahr: | Dezember 2010 |
| Buchtitel: | 6th IEEE/IFIP International Symposium on Trusted Computing and Communications (TrustCom 2010) |
| Kurzbeschreibung (Abstract): | Side-channel attacks have changed the design of secure cryptographic systems dramatically. Several published attacks on implementations of well known algorithms such as, e.g., AES, show the need to consider these aspects to build more resistant cryptographic systems. On the other hand, with the increasing use of cryptography in embedded systems a significant demand exists for cryptographic algorithms that are both resource- and power-efficient. These can be either modified existing or completely new ones. One of the candidates for such a new algorithm is the Tree Parity Machine Public Key Exchange, an algorithm based on artificial neural networks. While it has been evaluated in a number of practical applications in the past, its side-channel resistance has not been examined yet. We would like to close this gap and present a side-channel attack strategy as well as results gathered from measurements made on a real implementation. |
| Freie Schlagworte: | Secure Things |
| Fachbereich(e)/-gebiet(e): | LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt 20 Fachbereich Informatik > Integrierte Schaltungen und Systeme 20 Fachbereich Informatik > Eingebettete Systeme und ihre Anwendungen LOEWE > LOEWE-Zentren 20 Fachbereich Informatik LOEWE |
| Hinterlegungsdatum: | 31 Dez 2016 00:15 |
| Letzte Änderung: | 17 Mai 2018 13:02 |
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