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         Hashing:     more books (72)
  1. Design of Hashing Algorithms (Lecture Notes in Computer Science) by Josef Pieprzyk, Babak Sadeghiyan, 1994-01-07
  2. Design and Analysis of Coalesced Hashing (International Monographs on Computer Science) by Jeffrey Scott Vitter, Wen-chin Chen, 1986-10-16
  3. Half a Mind: Hashing : The Outrageous Running Sport by Alice Johnson, 1990-04
  4. Hashing in Smalltalk: Theory and Practice by Andres Valloud, 2008
  5. Hashing in Computer Science: Fifty Years of Slicing and Dicing by Alan G. Konheim, 2010-07-06
  6. Hashing: Hash table, HMAC, Collision, Rabin-Karp string search algorithm, Bloom filter, Cryptographic hash function, Extendible hashing
  7. Half a Mind: Hashing [Signed By Author] by Alice A. Johnson, 1990
  8. Hash Functions: Hash function, Pearson hashing, Rolling hash, Perfect hash function, Fowler-Noll-Vo hash function, Zobrist hashing
  9. Hashing, Searching, Sketching by Rina Panigrahy, 2009-09-18
  10. Data Structure Introduction: Splay Tree, Sparse Array, Extendible Hashing, Pairing Heap, Skew Heap, Search Data Structure, Finger Tree
  11. Things of Each Possible Relation Hashing Against One Another by Juliana Spahr, 2003-11
  12. md5bloom: Forensic filesystem hashing revisited [An article from: Digital Investigation] by V. Roussev, Y. Chen, et all 2006-09-01
  13. Hashing in Smalltalk: Theory and Practice by Andres Valloud, 2008-01-01
  14. Hashing Out Encryption Solutions.: An article from: Security Management by John N. Bumgarner, 2001-06-01

1. What Is Hashing?
hashing . . . it s a mixture of athleticism and sociability, hedonism and hard work, a refreshing escape from the nineto-five dweebs you re stuck with five
Who Are the Hash House Harriers?
Hashing . . . it's a mixture of athleticism and sociability, hedonism and hard work, a refreshing escape from the nine-to-five dweebs you're stuck with five days a week. Hashing is an exhilaratingly fun combination of running, orienteering, and partying, where bands of harriers and harriettes chase hares on eight-to-ten kilometer-long trails through town, country, and desert, all in search of exercise, camaraderie, and good times. Hashing began in Kuala Lumpur, Malaysia, in 1938, when a group of British colonial officials and expatriates founded a running club called the Hash House Harriers. They named the group after their meeting place, the Selangor Club, nicknamed the "Hash House." Hash House Harrier runs were patterned after the traditional British paper chase. A "hare" was given a head start to blaze a trail, marking his devious way with shreds of paper, all the while pursued by a shouting pack of "harriers." Only the hare knew where he was going . . . the harriers followed his clues to stay on trail. Apart from the excitement of chasing the hare and solving the clues, reaching the end was its own reward . . . for there, thirsty harriers would find a tub of iced-down beer. Hashing died out during World War II (Japanese occupying forces being notoriously anti-fun) but picked up in the post-war years, spreading through the Far East, Australia, and New Zealand . . . then exploding in popularity in the mid-70s. Today there are thousands of Hash House Harrier clubs in all parts of the world, with newsletters, directories, and even regional and world hashing conventions.

2. What Is Hashing? - A Definition From - See Also: Hash, Hash Function
hashing is the transformation of a string of character s into a usually shorter fixedlength value or key that represents the original string.,,sid87_gci212230,00.html
mboxCreate('global'); hashing Home SQL Server Definitions - Hashing Definitions (Powered by EMAIL THIS LOOK UP TECH TERMS Powered by: Search listings for thousands of IT terms: Browse tech terms alphabetically: A B C D ... Z
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ttWriteMboxDiv('searchSQLServer_Definition_Body'); ttWriteMboxContent('searchSQLServer_Definition_Body'); - Hashing is the transformation of a string of character s into a usually shorter fixed-length value or key that represents the original string. Hashing is used to index and retrieve items in a database because it is faster to find the item using the shorter hashed key than to find it using the original value. It is also used in many encryption algorithms. As a simple example of the using of hashing in databases, a group of people could be arranged in a database like this: Abernathy, Sara Epperdingle, Roscoe Moore, Wilfred Smith, David (and many more sorted into alphabetical order) Each of these names would be the key in the database for that person's data. A database search mechanism would first have to start looking character-by-character across the name for matches until it found the match (or ruled the other entries out). But if each of the names were hashed, it might be possible (depending on the number of names in the database) to generate a unique four-digit key for each name. For example:

3. Half-Mind Catalog
Historical Information on the Hash House Harriers, compiled from various sources.
Half-Mind,com Catalog

4. Hashing
A small paper that explains how hashing works with examples in Pascal.
home Hashing
V 0.1 Hashing is a method to store data in an array so that storing, searching, inserting and deleting data is fast (in theory it's O(1)). For this every record needs an unique key. The basic idea is not to search for the correct position of a record with comparisons but to compute the position within the array. The function that returns the position is called the 'hash function' and the array is called a 'hash table'. In our examples our key is an integer value as is the actual data. [note that I use pascal syntax since this is easily readable by everybody I asume] type record key integer data integer end the hash table now looks like this: const type array of If we know that the key is in a small range we could use the key itself as an index (also called hash address) for our array. However this is very rarely the case so we have to find some kind of hash function. A very common and not so bad function is a simple MODulo function: function key integer integer begin key MOD end If we now want to insert a record into the hash we could do it this way: procedure VAR hash rec begin hash rec key rec end But wait! What happens if two different keys return the same hash address from the hash function? Well if you have a good hash function this happens very rarely but it can and will happen. There are two ways to handle a so called 'hash collision'.

5. PHP Security Consortium: Password Hashing
In this article I m going to cover password hashing, a subject which is often poorly understood by newer developers. Recently I ve been asked to look at
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Password Hashing
by James McGlinn
In this article I'm going to cover password hashing, a subject which is often poorly understood by newer developers. Recently I've been asked to look at several web applications which all had the same security issue - user profiles stored in a database with plain text passwords. Password hashing is a way of encrypting a password before it's stored so that if your database gets into the wrong hands, the damage is limited. Hashing is nothing new - it's been in use in Unix system password files since long before my time, and quite probably in other systems long before that. In this article I'll explain what a hash is, why you want to use them instead of storing real passwords in your applications, and give you some examples of how to implement password hashing in PHP and MySQL.
As you read on you'll see that I advocate the use of a hashing algorithm called Secure Hashing Algorithm 1 (or SHA-1). Since I wrote this article, a team of researchers - Xiaoyun Wang, Yiqun Lisa Yin, and Hongbo Yu - have shown SHA-1 to be weaker than was previously thought. This means that for certain purposes such as digital signatures, stronger algorithms like SHA-256 and SHA-512 are now being recommended. For generating password hashes, SHA-1 still provides a more than adequate level of security for most applications today. You should be aware of this issue however and begin to think about using stronger algorithms in your code as they become more readily available.

6. Hashing Animation Tool
Trouble viewing the applet? Click for Operating Requirements.
Trouble viewing the applet? Click for Operating Requirements

7. What Is Hashing? - A Word Definition From The Webopedia Computer Dictionary
This page describes the term hashing and lists other pages on the Web where you can find additional information.
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hashing Last modified: Tuesday, October 14, 2003 Producing hash values for accessing data or for security . A hash value (or simply hash ), also called a message digest , is a number generated from a string of text. The hash is substantially smaller than the text itself, and is generated by a formula in such a way that it is extremely unlikely that some other text will produce the same hash value. Hashes play a role in security systems where they're used to ensure that transmitted messages have not been tampered with. The sender generates a hash of the message, encrypts it, and sends it with the message itself. The recipient then decrypts both the message and the hash, produces another hash from the received message, and compares the two hashes. If they're the same, there is a very high probability that the message was transmitted intact.

8. MySQL :: MySQL 5.0 Reference Manual :: 5.4.9 Password Hashing As Of MySQL 4.1
When a client attempts to connect to the server, there is an initial authentication step in which the client must present a password that has a hash value
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9. Cuckoo Hashing
Definition of cuckoo hashing, possibly with links to more information and implementations.
cuckoo hashing
(data structure) Definition: A dictionary implemented with two hash tables , T and T , and two different hash functions , h and h . Each key , k, is either in T [h (k)] or T [h (k)]. A new key , k, is stored in T [h (k)]. If that location is already occupied by another key, l, the other key is moved to T [h (l)]. Key are moved back and forth until a key moves to an empty location or a limit is reached. If the limit is reached, new hash functions are chosen, and the tables are rehashed. For tables that are a bit less than half full and universal hashing functions, performance is good. A key is deleted by removing it from a table. Generalization (I am a kind of ...)
hash table
Aggregate parent (I am a part of or used in ...)
Aggregate child (... is a part of or used in me.)
hash function See also 2-left hashing Note: The name comes from the European cuckoo , whose young pushes other, competing eggs out of the nest. Author: PEB
More information
Rasmus Pagh and Flemming Friche Rodler Cuckoo Hashing , Proceedings of ESA 2001, Lecture Notes in Computer Science, vol. 2161, pages 121-?, 2001.

10. Hmac Keyed Hashing For Message Authentication
Network Working Group H. Krawczyk Request for Comments 2104 IBM Category Informational M. Bellare UCSD R. Canetti IBM February 1997 HMAC Keyedhashing

11. RFC 2104 (rfc2104) - HMAC: Keyed-Hashing For Message Authentication
RFC 2104 HMAC Keyed-hashing for Message Authentication.
RFC 2104 (RFC2104)
Internet RFC/STD/FYI/BCP Archives RFC Index RFC Search Usenet FAQs Web FAQs ... Cities Alternate Formats: rfc2104.txt rfc2104.txt.pdf
RFC 2104 - HMAC: Keyed-Hashing for Message Authentication
RFC 1826 , August 1995. [BCK1] M. Bellare, R. Canetti, and H. Krawczyk, "Keyed Hash Functions and Message Authentication", Proceedings of Crypto'96, LNCS 1109, pp. 1-15. ( ) [BCK2] M. Bellare, R. Canetti, and H. Krawczyk, "Pseudorandom Functions Revisited: The Cascade Construction", Proceedings of FOCS'96. [Dobb] H. Dobbertin, "The Status of MD5 After a Recent Attack", RSA Labs' CryptoBytes, Vol. 2 No. 2, Summer 1996. [PV] B. Preneel and P. van Oorschot, "Building fast MACs from hash functions", Advances in Cryptology CRYPTO'95 Proceedings, Lecture Notes in Computer Science, Springer-Verlag Vol.963, 1995, pp. 1-14. [MD5] Rivest, R., "The MD5 Message-Digest Algorithm", RFC 1321 , April 1992. [MM] Meyer, S. and Matyas, S.M., Cryptography, New York Wiley, 1982. [RIPEMD] H. Dobbertin, A. Bosselaers, and B. Preneel, "RIPEMD-160: A strengthened version of RIPEMD", Fast Software Encryption, LNCS Vol 1039, pp. 71-82.

New Hash In Southern Maryland SMUTTy Crab H3. Saturday, March 15th, 2008 200 PM Joint BAH3-SMUTTy Crab Green Dress Hash (Annapolis)
Weekly calendar
of local hashes Coming Local Events MVH3 Annual General Meeting (AGM)

April 25-27th, 2008 Theme: "Think Beach!" Details here (updated 3/10) New Hash In Southern Maryland - SMUTTy Crab H3
Joint BAH3-SMUTTy Crab Green Dress Hash (Annapolis)

More SMUTTy Crab HHH information
EWH3 Presents the 469th / $15 Prom Hash
Saturday, March 29th, 2008 4-10:00 PM details OTH4 17th Annual Hash-A-Thon
Saturday, April 5th, 2008 Sign-in 11:00 AM
Gathering of the Clans DC Full Moon Hash
Sponsor: S.H.I.T.
Saturday, April 19th, 2008 5:00 PM Birthday Hash
OTH4 presents the 12th Anal Tubing In The Shenandoah (T.I.T.S) July 3rd-6th, 2008 Details Last update: March 24th, 2008 Hard Drive t SE

13. PwdHash
As a result, the site only sees a domainspecific hash of the password, PwdHash must somehow recognize the old password field and avoid hashing it.
Web Password Hashing
Description Publications Download Challenges ... Project Staff
The Common Password Problem. Users tend to use a single password at many different web sites. By now there are several reported cases where attackers breaks into a low security site to retrieve thousands of username/password pairs and directly try them one by one at a high security e-commerce site such as eBay. As expected, this attack is remarkably effective. A Simple Solution. PwdHash is an browser extension that transparently converts a user's password into a domain-specific password. The user can activate this hashing by choosing passwords that start with a special prefix ( ) or by pressing a special password key (F2). PwdHash automatically replaces the contents of these password fields with a one-way hash of the pair (password, domain-name). As a result, the site only sees a domain-specific hash of the password, as opposed to the password itself. A break-in at a low security site exposes password hashes rather than an actual password. We emphasize that the hash function we use is public and can be computed on any machine which enables users to login to their web accounts from any machine in the world. Hashing is done using a Pseudo Random Function (PRF).

14. Locality Sensitive Hashing (LSH) Home Page
LocalitySensitive hashing (LSH) is an algorithm for solving the (approximate/exact) Near Neighbor Search in high dimensional spaces.
LSH Algorithm and Implementation (E2LSH)
Locality-Sensitive Hashing (LSH) is an algorithm for solving the (approximate/exact) Near Neighbor Search in high dimensional spaces. On this webpage, you will find pointers to the newest LSH algorithm in Euclidean (l_2) spaces, as well as the description of the package , an implementation of this new algorithm for the Euclidean space.

15. Tom White's Blog: Consistent Hashing
I ve bumped into consistent hashing a couple of times lately. The paper that introduced the idea (Consistent hashing and Random Trees Distributed Caching
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Tom White's Blog
Consistent Hashing
Posted by tomwhite on November 27, 2007 at 09:56 AM Comments (2)
I've bumped into consistent hashing a couple of times lately. The paper that introduced the idea ( Consistent Hashing and Random Trees: Distributed Caching Protocols for Relieving Hot Spots on the World Wide Web by David Karger et al ) appeared ten years ago, although recently it seems the idea has quietly been finding its way into more and more services, from Amazon's Dynamo to memcached (courtesy of ). So what is consistent hashing and why should you care? The need for consistent hashing arose from limitations experienced while running collections of caching machines - web caches, for example. If you have a collection of n cache machines then a common way of load balancing across them is to put object o in cache machine number hash(o) mod n . This works well until you add or remove cache machines (for whatever reason), for then

16. Java Theory And Practice: Hashing It Out
In this installment of Java theory and practice, Java developer Brian Goetz shows you the rules and guidelines you should follow when creating Java classes
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17. Hashing, Hash Tables, And Scatter Tables
hashing, Hash Tables, and Scatter Tables. A very common paradigm in data processing involves storing information in a table and then later retrieving the
Data Structures and Algorithms with Object-Oriented Design Patterns in Java
Hashing, Hash Tables, and Scatter Tables
A very common paradigm in data processing involves storing information in a table and then later retrieving the information stored there. For example, consider a database of driver's license records. The database contains one record for each driver's license issued. Given a driver's license number, we can look up the information associated with that number. Similar operations are done by the Java compiler. The compiler uses a symbol table to keep track of the user-defined symbols in a Java program. As it compiles a program, the compiler inserts an entry in the symbol table every time a new symbol is declared. In addition, every time a symbol is used, the compiler looks up the attributes associated with that symbol to see that it is being used correctly and to guide the generation of the bytecodes Typically the database comprises a collection of key-and-value pairs. Information is retrieved from the database by searching for a given key. In the case of the driver's license database, the key is the driver's license number and in the case of the symbol table, the key is the name of the symbol. In general, an application may perform a large number of insertion and/or look-up operations. Occasionally it is also necessary to remove items from the database. Because a large number of operations will be done we want to do them as quickly as possible.

18. Hashing - Definition From The Merriam-Webster Online Dictionary
Definition of hashing from the MerriamWebster Online Dictionary with audio pronunciations, thesaurus, Word of the Day, and word games.
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One entry found.
hash[1,transitive verb]
Main Entry:
Pronunciation: Function:
transitive verb
French hacher, from Old French hachier, from hache battle-ax, of Germanic origin; akin to Old High German sickle; akin to Greek koptein capon
1 a  to chop (as meat and potatoes) into small pieces b confuse muddle  to talk about review over or out Learn more about "hash" and related topics at Find Jobs in Your City Pronunciation Symbols

19. Consistent Hashing And Random Trees Distributed Caching Protocols
We describe a family of caching protocols for distributed networks that can be used to decrease or eliminate the occurrence of hot spots in the network.

20. Hashing In Smalltalk « The Weekly Squeak
hashing in Smalltalk Andrés Valloud has just published “hashing in Smalltalk Theory and Practice” on Lulu. He describes the book as providing “a strong
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The Weekly Squeak
Hashing in Smalltalk
February 25, 2008
Andr©s Valloud Hashing in Smalltalk: Theory and Practice Lulu Andr©s has also posted a great illustration of the dangers of the use of inappropriate hashing functions Posted by Michael Davies Filed in Books Smalltalk Squeak
Tags: book hashing
  • Brian Says:
    February 26, 2008 at 1:34 am
    Any chance this will come out for the Amazon Kindle? Andres Says:
    February 29, 2008 at 11:00 pm
    Brian, At this time, the book will only be available through Lulu. Is there a reason why Lulu is not suitable for you? Thanks,
  • Leave a Reply
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