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Camera Controls 4-Way Controller Top camera controls Rear camera controls Front camera controls Camera terminals Side and bottom camera features LCD Monitor Screen Positioning Quick Shot mode Face Detection modes Grid Display Clock Display Lens Controls Image Stabilization Optical zoom ..

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1-2.1 Basic Principles 5 1-2.2 Retrospective Study 5 1-2.3 Observational Study 6 1-2.4 Designed Experiments 6 1-2.5 A Factorial Experiment for the Connector Pull-Off Force Problem (CD Only) 8 1-2.6 Observing Processes Over Time 8

Cumulative Distribution Functions 63 Mean and Variance of a Discrete Random Variable 66 Discrete Uniform Distribution 70 Binomial Distribution 72 Geometric and Negative Binomial Distributions 78

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Most of this chapter is devoted to introducing terminology and discussing a select few classic pen and paper ciphers. Our goal here is not to cover classical cryptography in detail, since there are already many excellent sources of information on such ciphers. For example, Kahn s history [74] has a general discussion of virtually every cipher developed prior to its original publication date of 1967, Barr [7] presents a readable introduction to cryptography, Spillman [139] nicely covers the cryptanalysis of several classic cipher systems and Bauer [8]provides rigorous coverage of a large number of classical crypto topics. The ciphers we discuss in this chapter have been selected t o illustrate a few important points that arise in upcoming chapters. Even if you are familiar with classical cryptosystems, you should read the next two sections where terminology is discussed, since the terminology in cryptography is not always consistent. In addition, the material in Sections 1.4.3 and 1.4.4 is directly referenced in upcoming chapters.

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In cryptography, it is traditional that Alice and Bob are the good guys who are trying to communicate securely over an insecure channel. We employ Trudy (the intruder ) as our generic bad guy. Some books have a whole cast of bad guys with the name indicating the particular evil activity (Eve, the eavesdropper, for example), but we use Trudy as our all-purpose bad guy . 1

2-1.1 Random Experiments 17 2-1.2 Sample Spaces 18 2-1.3 Events 22 2-1.4 Counting Techniques (CD Only) 25

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Since this is a cryptanalysis book, we often play the role of Trudy. Trudy is an inherently more interesting character than boring old Alice and Bob, and this is part of what makes cryptanalysis so much more fun than cryptography. Trudy does not have to play by any preconceived set of rules. However, it is important to remember that attacks on real systems are almost certainly illegal, so do not attempt to play Trudy in the real world.

Continuous Random Variables 98 4-2 Probability Distributions and Probability Density Functions 98 4-3 Cumulative Distribution Functions 102 4-4 Mean and Variance of a Continuous Random Variable 105 4-5 Continuous Uniform Distribution 107 4-6 Normal Distribution 109 4-7 Normal Approximation to the Binomial and Poisson Distributions 118 4-8 Continuity Corrections to Improve the Approximation (CD Only) 122 4-9 Exponential Distribution 122 4-10 Erlang and Gamma Distribution 128

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Oryptology is the art and science of making and breaking secret codes Cryptology can be subdivided irito cryptography (the art and science of making secret codes) and cryptanalysis (the breaking of secret codes) The secret codes themselves are known as ciphers or cryptosystems In this book, we are focused on cryptanalysis, but many topics in cryptography naturally arise It is common practice to use the term cryptography as a synonym for cryptology, and we generally follow this practice In fact, we often use crypto as shorthand for cryptology, cryptography, cryptanalysis, or any variety of other crypto-related topics The precise meaning should be clear from the context The original readable message is the plaintext, while the ciphertext is the unreadable text that results from encrypting the plaintext Decryption is the inverse process, where the ciphertext is converted into plaintext A k e y is used to configure a cryptosystem.

14 14 15 17 20 21 22 23 24 25 27 28 29 29 30 31

5-1.1 Joint Probability Distributions 142 5-1.2 Marginal Probability Distributions 144 5-1.3 Conditional Probability Distributions 146 5-1.4 Independence 148

7-2.1 Unbiased Estimators 222 7-2.2 Proof that S is a Biased Estimator of (CD Only) 224 7-2.3 Variance of a Point Estimator 224 7-2.4 Standard Error: Reporting a Point Estimator 225 7-2.5 Bootstrap Estimate of the Standard Error (CD Only) 226 7-2.6 Mean Square Error of an Estimator 226

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