Читать книгу Cryptography, Information Theory, and Error-Correction - Aiden A. Bruen - Страница 28

An empirical rule that has held true for a few decades is Moore's Law. In 1965, Intel cofounder Gordon Moore asserted that, “The number of transistors incorporated in a chip will approximately double every 24 months” (see [Int19]). For many years, the computing power of our desktop and laptop computers doubled every 18 months or so. As processor power increases, we must ensure that an adversary, Eve, who should not have the appropriate decryption keys, cannot decrypt our data and messages. This led in part to the replacement of DES with AES (see Section 1.6).

Recently, some have argued that Moore's law is dead. (See [Hea18, Sim16, Tib19], for example.) However, the performance of chips can still increase from changes in chip design. For example, multicore chips are now common‐place. Multiple computations can be done in parallel (at the same time) on different cores in a chip. Other factors, such as artificial intelligence (AI), cloud computing, and quantum computing, mean that we must continue to keep our encryption algorithms up to date. The amount and types of data, some of which are very personal and/or sensitive (e.g. health records, financial records), have never been greater in quantity and sensitivity. The need for encryption using encryption algorithms that are not susceptible to attacks has never been greater.