The Science of Quantitative Information Flow
The Science of Quantitative Information Flow
复制标题
定量信息流科学
DOI:
10.1007/978-3-319-96131-6
复制
发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Geoffrey Smith
中科院分区:
文献类型:
--
作者:
M. Alvim;K. Chatzikokolakis;Annabelle McIver;Carroll Morgan;C. Palamidessi;Geoffrey Smith
Information Flow is the transfer of information from a source (who knows the information) to a target (who does not yet know it). In history, that topic has sometimes been studied in order to impede flow (eg Caesar’s Cipher from millennia ago), and sometimes to facilitate it (eg Shannon’s work in the 1940’s). Usually, however, the aims are a careful mixture of the two: to let information flow to those who need to know it, but to keep it from those who must not have it. That is the focus of our contemporary perspective–facilitate some flows, impede others–and our main (but not exclusive) concern here is computer systems.But first: what is so special about now? Information-flow security is a critical problem today because of recent technological developments and their–largely uncontrolled–spread to many hands: all the way from everyday home users to super-skilled hackers, and all over the earth. Data is being collected more than ever before (smart phones, surveillance cameras,“loyalty” cards); networks then enable its transmission to unknown (or unintended) destinations; and powerful corporate and governmental agents gain financial and/or political benefits by collecting and analyzing that data. And, of course, there are the criminals.