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same algorithm against the data So you could hash a message to get a message authentication code (MAC), and the computational number of the message would show that no intermediary has modified the message This process works because hashing methods are typically public, and anyone can hash data using the specified method It is computationally simple to generate the hash, so it is simple to check the validity or integrity of something by matching the given hash to one that is locally generated A hash algorithm can be compromised with what is called a collision attack, in which an attacker finds two different messages that hash to the same value This type of attack is very difficult and requires generating a separate algorithm that will attempt to find a text that will hash to the same value of a known hash This must occur faster than simply editing characters until you hash to the same value, which is a brute-force type attack The consequences of a hash function that suffers from collisions is that integrity is lost If an attacker can make two different inputs purposefully hash to the same value, she might trick people into running malicious code and cause other problems Two popular hash algorithms are the Secure Hash Algorithm (SHA) series and Message Digest (MD) hash of varying versions (MD2, MD4, MD5) EXAM TIP The hashing algorithms in common use are MD2, MD4, MD5, and SHA-1, SHA-256, SHA-384, and SHA-512 Hashing functions are very common, and they play an important role in the way information, such as passwords, is stored securely, and the way in which messages can be signed By computing a digest of the message, less data needs to be signed by the more complex asymmetric encryption, and this still maintains assurances about message integrity This is the primary purpose for which the protocols were designed, and their success will allow greater trust in electronic protocols and digital signatures.

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Secure Hash Algorithm (SHA) refers to a set of four hash algorithms designed and published by the National Institute of Standards and Technology (NIST) and the National Security Agency (NSA) These algorithms are included in the SHA standard Federal Information Processing Standards (FIPS) 180-2 Individually, each standard is named SHA-1, SHA-256, SHA-384, and SHA-512 The latter variants are occasionally referred to as SHA-2

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Table 11-3: SOHO Router Capabilities Series Router Routing CPU Standard Maximum Standard Maximum PPS Model Protocols Model DRAM DRAM Flash Flash RAM RAM

As you can see in the chart: Values rise most steeply along the EP% axis, meaning that EP% (or equivalently, Discounted Cash Flow) is the most powerful driver of share price Revenue Growth, the darling of the internet bubble, is only of sustained value when EP is greater than 2%

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Because Economic Profit accounts for costs as well as returns, it holds a critical lesson for us that other metrics overlook: Most of us have been trained to think of growth as a good thing, but growth will actually accelerate the destruction of shareholder value if Economic Profit is negative Understand that for every shareholder dollar invested by the corporation in projects that yield below the cost of capital, the investor has suffered economic losses; growth simply magnifies this shareholder loss10 Figure 43 shows an example of how this happens The chart shows the stock performance of Value City (VCD now owned by parent company Retail Ventures, Inc, which also owns DSW Shoe Warehouse and Filene s Basement stores), Kohl s (KSS), and May Department Stores Co (MAY), all department store chains, versus the S&P 500 Index Both Value City and Kohl s saw revenue growth rates of about 20% But from 1999 to 2004, Value City saw negative ROIC, while Kohl s remained at a solid 13% This is reflected in the value of the shares Value City was thus valued at less than book value May Co, on the other hand, while maintaining a relatively robust ROIC of 97%, had an anemic growth rate of 083% Its market-to-book ratio, while better than Value City s, is only 188 The market performer had strong growth rates working to leverage its strong return on capital For Value City, growth served only to magnify the value destruction In short, growth can be an accelerant to value destruction, a conclusion not too surprising to people who are attuned to the true impact of complexity on costs and speed

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Table 11-3: SOHO Router Capabilities Series Router Routing CPU Standard Maximum Standard Maximum PPS Model Protocols Model DRAM DRAM Flash Flash RAM RAM 69360

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