Showing posts with label intelligence. Show all posts
Showing posts with label intelligence. Show all posts

Elementary Cryptanalysis 2nd edition (Anneli Lax New Mathematical Library) Review

Elementary Cryptanalysis 2nd edition (Anneli Lax New Mathematical Library)
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Elementary Cryptanalysis 2nd edition (Anneli Lax New Mathematical Library) ReviewThis book would be an excellent text for courses in cryptology where some of the students are in computer science. The mathematics behind the encryption/decryption is completely explained at a level where people with a weaker mathematical background can understand it. Basic number theory concepts such as congruences, simple linear algebra and frequency statistics are all the mathematics that is needed. The coverage is introductory, yet the reader is given a sufficiently deep exposure so that they can appreciate the significance and value of encryption in the modern world. The worked examples also impart the sense of intellectual challenge and stimulation that working in encryption can give.
The areas examined are:
*) Monoalphabetic ciphers using additive alphabets
*) General monoalphabetic substitution
*) Polyalphabetic substitution
*) Polygraphic systems
*) Transposition
*) RSA encryption
*) Perfect security - one-time pads
Many exercises with solutions are also included, which would allow a reader to use the book for self study as well.
Of all the areas of mathematics that I have taught, I had the most fun teaching a course in encryption and compression. Furthermore, given the feedback that I received from the students, they enjoyed it as well. This is one of the very best books on the basic tactics of encryption that has ever been published; I would not hesitate to use it as a text.
Published in Journal of Recreational Mathematics, reprinted with permission.Elementary Cryptanalysis 2nd edition (Anneli Lax New Mathematical Library) OverviewOriginally published in the New Mathematical Library almost half a century ago, this charming book explains how to solve cryptograms based on elementary mathematical principles, starting with the Caesar cipher and building up to progressively more sophisticated substitution methods. Todd Feil has updated the book for the technological age by adding two new chapters covering RSA public-key cryptography, one-time pads, and pseudo-random-number generators.Exercises are given throughout the text that will help the reader understand the concepts and practice the techniques presented. Software to ease the drudgery of making the necessary calculations is made available. The book assumes minimal mathematical prerequisites and therefore explains from scratch such concepts as summation notation, matrix multiplication, and modular arithmetic. Even the mathematically sophisticated reader, however, will find some of the exercises challenging. (Answers to the exercises appear in an appendix.)

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Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems) Review

Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)
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Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems) ReviewThis book is great stuff for Enterprise Architects. The discussion of Zachman is better than any of the Zachman Institues articles. The explanation of the value of architectural meta-models is excellent.
On the down side, the meta-models presented are very good EXCEPT that the author still presents data as being a part of an application. Surely 20 or so years after James Martin we are past that. Applications with their own data schemata are to be avoided and suppressed, rather than endorsed.
If your are a "real" Enterprise Architect, then this is book indispensable, but review all of the meta-models carefully to insure that they comply with your particular religion.
Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems) OverviewIn recent years, companies and government agencies have come to realize that the data they use represent a significant corporate resource, whose cost calls for management every bit as rigorous as the management of human resources, money, and capital equipment. With this realization has come recognition of the importance to integrate the data that has traditionally only been available from disparate sources. An important component of this integration is the management of the "metadata" that describe, catalogue, and provide access to the various forms of underlying business data. The "metadata repository" is essential keeping track both of the various physical components of these systems, but also their semantics. What do we mean by "customer?" Where can we find information about our customers? After years of building enterprise models for the oil, pharmaceutical, banking, and other industries, Dave Hay has here not only developed a conceptual model of such a metadata repository, he has in fact created a true enterprise data model of the information technology industry itself.* A comprehensive work based on the Zachman Framework for information architecture-encompassing the Business Owner's, Architect's, and Designer's views, for all columns (data, activities, locations, people, timing, and motivation)* Provides a step-by-step description of model and is organized so that different readers can benefit from different parts* Provides a view of the world being addressed by all the techniques, methods and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.)* Presents many concepts that are not currently being addressed by such tools - and should be

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