A First Practical Fully Homomorphic Crypto-Processor Design: The Secret Computer is Nearly Here

Following a sequence of hardware designs for a fully homomorphic crypto-processor - a general purpose processor that natively runs encrypted machine code on encrypted data in registers and memory, resulting in encrypted machine states - proposed by the authors in 2014, we discuss a working prototype of the first of those, a so-called `pseudo-homomorphic' design. This processor is in principle safe against physical or software-based attacks by the owner/operator of the processor on user processes running in it. The processor is intended as a more secure option for those emerging computing paradigms that require trust to be placed in computations carried out in remote locations or overseen by untrusted operators. The prototype has a single-pipeline superscalar architecture that runs OpenRISC standard machine code in two distinct modes. The processor runs in the encrypted mode (the unprivileged, `user' mode, with a long pipeline) at 60-70% of the speed in the unencrypted mode (the privileged, `supervisor' mode, with a short pipeline), emitting a completed encrypted instruction every 1.67-1.8 cycles on average in real trials.Comment: 6 pages, draf

Copyright and Promotion: Oxymoron or Opportunity?

Copyright in the cultural sphere can act as a barrier to the dissemination of high-quality information. On the other hand it protects works of art that might not be made available otherwise. This dichotomy makes the area of copyright difficult, especially when it applies to the digital arena of the web where copying is so easy and natural. Here we present a snapshot of the issues for online copyright, with particular emphasis on the relevance to cultural institutions. We concentrate on Europe and the US; as an example we include a special section dedicated to the situation in Italy.Comment: 10 pages, 0 figure

Empirical Patterns in Google Scholar Citation Counts

Scholarly impact may be metricized using an author's total number of citations as a stand-in for real worth, but this measure varies in applicability between disciplines. The detail of the number of citations per publication is nowadays mapped in much more detail on the Web, exposing certain empirical patterns. This paper explores those patterns, using the citation data from Google Scholar for a number of authors.Comment: 6 pages, 8 figures, submitted to Cyberpatterns 201