Hardware Mechanisms for Memory Authentication: A Survey of Existing Techniques and Engines - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Accéder directement au contenu
N°Spécial De Revue/Special Issue Transactions on Computational Science Année : 2009

Hardware Mechanisms for Memory Authentication: A Survey of Existing Techniques and Engines

Résumé

Trusted computing platforms aim to provide trust in computations performed by sensitive applications. Verifying the integrity of memory contents is a crucial security service that these platforms must provide since an adversary able to corrupt the memory space can affect the computations performed by the platform. After a description of the active attacks that threaten memory integrity, this paper surveys existing cryptographic techniques - namely integrity trees - allowing for memory authentication. The strategies proposed in the literature for implementing such trees on general-purpose computing platforms are presented, along with their complexity. This paper also discusses the effect of a potentially compromised Operating System (OS) on computing platforms requiring memory authentication and describes an architecture recently proposed to provide this security service despite an untrusted OS. Existing techniques for memory authentication that are not based on trees are described and their performance/security trade-off is discussed. While this paper focuses on memory authentication for uniprocessor platforms, we also discuss the security issues that arise when considering data authentication in symmetric multiprocessor (shared memory) systems.

Dates et versions

lirmm-00372052 , version 1 (31-03-2009)

Identifiants

Citer

Reouven Elbaz, David Champagne, Lionel Torres, Ruby B. Lee, Catherine Gebotys, et al.. Hardware Mechanisms for Memory Authentication: A Survey of Existing Techniques and Engines. Transactions on Computational Science, LNCS (5430), pp.1-22, 2009, Transactions on Computational Science IV - Special Issue on Security in Computing, ⟨10.1007/978-3-642-01004-0_1⟩. ⟨lirmm-00372052⟩
120 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More