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Titlebook: What Is Computer Science?; An Information Secur Daniel Page,Nigel Smart Textbook 2014 Springer International Publishing Switzerland 2014 Al

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11#
發(fā)表于 2025-3-23 12:59:20 | 只看該作者
Picking Digital Pocketsshifts the perspective slightly. As well as reasoning in theory about how secure a scheme is, the premise is that we also need to worry about the physical implementation..Two examples scenarios are examined. The first deals with guessing passwords: given the basic strategy of trying every password a
12#
發(fā)表于 2025-3-23 14:29:47 | 只看該作者
Textbook 2014broadly connected by the theme of information security, for which the presentation of each topic can be treated as a "mini" lecture course, demonstrating how it allows us to solve real problems, as well as how it relates to other subjects. The discussions are further supported by numerous examples a
13#
發(fā)表于 2025-3-23 20:10:05 | 只看該作者
Playing Hide-and-Seek with Virus Scannersechnical mechanism used by computer viruses to evade detection by virus scanners..Specifically, the ability for a program to modify itself during execution (so-called self-modifying code) allows polymorphic viruses to hide their intentions from a scanner seeking to detect them.
14#
發(fā)表于 2025-3-24 00:35:05 | 只看該作者
15#
發(fā)表于 2025-3-24 04:15:12 | 只看該作者
16#
發(fā)表于 2025-3-24 07:17:51 | 只看該作者
17#
發(fā)表于 2025-3-24 11:33:52 | 只看該作者
18#
發(fā)表于 2025-3-24 17:08:50 | 只看該作者
How Long Is a Piece of String?aracters. Faced with a practical need to represent strings in memory however, a range of options exist. By examining two different string data structures and a range of algorithms that operate on them, various trade-offs in terms of efficiency are highlighted: ultimately, what seem be subtle or unimportant differences have a major impact.
19#
發(fā)表于 2025-3-24 20:25:47 | 只看該作者
20#
發(fā)表于 2025-3-25 01:19:02 | 只看該作者
Generation and Testing of Random Numbersifferentiating between random versus non-random (or ”good” and ”bad” randomness); various simple experiments to generate and test random numbers provide practical evidence. It then introduces the concept of pseudo-randomness, which unlike real randomness can be generated by algorithms such as the Linear Congruential Generator (LCG).
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