A trusted monotonic counter is a valuable primitive thatenables a wide variety of highly scalable offlineand decentralized applications that would otherwise be prone to replay attacks, including offline payment, e-wallets, virtual trusted storage, and digital rights management (DRM).In this paper, we show how one can implement a very large number of virtual monotonic counters on an untrusted machine with a Trusted Platform Module (TPM) or similar device, without relying on a trusted OS. We first present a log-based scheme that can be implemented with the current version of the TPM (1.2) and used incertain applications.We then show how the addition of a few simple features tothe TPM makes it possible to implement a hash-tree-based schemethat not only offers improved performance and scalability compared to the log-based scheme, but also makes it possible to implement count-limited objects (or ``clobs'' for short) -- i.e., encrypted keys, data, and other objectsthat can only be used when an associated virtual monotonic counter is within a certain range.Such count-limited objects include n-time use keys, n-out-of-m data blobs,n-copy migratable objects, and other variants, which have many potential uses in digital rights management (DRM), digital cash, digital voting, itinerant computing,and other application areas.
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