Visible to the public Biblio

Filters: Author is Schneider, S.  [Clear All Filters]
2020-12-07
Whitefield, J., Chen, L., Sasse, R., Schneider, S., Treharne, H., Wesemeyer, S..  2019.  A Symbolic Analysis of ECC-Based Direct Anonymous Attestation. 2019 IEEE European Symposium on Security and Privacy (EuroS P). :127–141.
Direct Anonymous Attestation (DAA) is a cryptographic scheme that provides Trusted Platform Module TPM-backed anonymous credentials. We develop Tamarin modelling of the ECC-based version of the protocol as it is standardised and provide the first mechanised analysis of this standard. Our analysis confirms that the scheme is secure when all TPMs are assumed honest, but reveals a break in the protocol's expected authentication and secrecy properties for all TPMs even if only one is compromised. We propose and formally verify a minimal fix to the standard. In addition to developing the first formal analysis of ECC-DAA, the paper contributes to the growing body of work demonstrating the use of formal tools in supporting standardisation processes for cryptographic protocols.
2015-05-05
Schneider, S., Lansing, J., Fangjian Gao, Sunyaev, A..  2014.  A Taxonomic Perspective on Certification Schemes: Development of a Taxonomy for Cloud Service Certification Criteria. System Sciences (HICSS), 2014 47th Hawaii International Conference on. :4998-5007.

Numerous cloud service certifications (CSCs) are emerging in practice. However, in their striving to establish the market standard, CSC initiatives proceed independently, resulting in a disparate collection of CSCs that are predominantly proprietary, based on various standards, and differ in terms of scope, audit process, and underlying certification schemes. Although literature suggests that a certification's design influences its effectiveness, research on CSC design is lacking and there are no commonly agreed structural characteristics of CSCs. Informed by data from 13 expert interviews and 7 cloud computing standards, this paper delineates and structures CSC knowledge by developing a taxonomy for criteria to be assessed in a CSC. The taxonomy consists of 6 dimensions with 28 subordinate characteristics and classifies 328 criteria, thereby building foundations for future research to systematically develop and investigate the efficacy of CSC designs as well as providing a knowledge base for certifiers, cloud providers, and users.