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         Hashing:     more books (72)
  1. Robin Hood hashing (Research report. University of Waterloo. Department of Computer Science) by Pedro Celis, 1986
  2. Relative prime transformation aids the minimal perfect hashing function by Celestina T Fung, 1986
  3. Dynamic file organizations for partial match retrieval based on linear hashing (Technical report. University of Minnesota. Institute of Technology. Computer Science Dept) by T. S Yuen, 1985
  4. A general purpose scatter storage subsystem and a comparison of hashing methods (SuDoc NAS 1.26:175814) by Steven C. Macy, 1984
  5. Searching on alphanumeric keys using local balanced trie hashing (Technical report. Carleton University. School of Computer Science) by Ekow J Otoo, 1987
  6. Security and Privacy in Digital Rights Management: ACM CCS-8 Workshop DRM 2001, Philadelphia, PA, USA, November 5, 2001. Revised Papers (Lecture Notes in Computer Science)
  7. String Processing and Information Retrieval: 16th International Symposium, SPIRE 2009 Saariselkä, Finland, August 25-27, 2009 Proceedings (Lecture Notes ... Computer Science and General Issues)
  8. Cryptographic Libraries for Developers (Programming Series) by Ed Moyle, Diana Kelley, 2005-12-15
  9. Graph-Based Representations in Pattern Recognition: 7th IAPR-TC-15 International Workshop, GbRPR 2009, Venice, Italy, May 26-28, 2009. Proceedings (Lecture ... Vision, Pattern Recognition, and Graphics)
  10. Unique file identification in the National Software Reference Library [An article from: Digital Investigation] by S. Mead, 2006-09-01
  11. Accurate discovery of co-derivative documents via duplicate text detection [An article from: Information Systems] by Y. Bernstein, J. Zobel, 2006-11-01
  12. Searching algorithms (Teubner-Texte zur Mathematik) by J Wiedermann, 1987
  13. Using hash functions as a hedge against chosen ciphertext attack (Research report / International Business Machines Corporation. Research Division) by Victor Shoup, 1999
  14. A lexical analogy to feature matching and pose estimation (SuDoc C 13.58:6790) by John Albert Horst, 2002

61. Spaced Coast Biko Psycos
Bike hashing east central Florida, live chat, message board, updated daily, on on, new members always welcome, on on.
http://www.angelfire.com/fl4/hash
var cm_role = "live" var cm_host = "angelfire.lycos.com" var cm_taxid = "/memberembedded"
CLICK ON BIKO PSYCO LINK BELOW FOR CURRENT HASH INFO Our grand poobah is manure he can be reached at rod@bobsbicycles.com
  • We are The Biko Psychos: A drinking club with a biking problem!
  • A typical trail ride (Bash) involves two members (Hares) leaving the start point with a ten minute lead,the hares throw marks of flour for the pack to follow the object is to catch the hares before they reach the end where the beer,food and fun is! Click hash links for more info on hashing. HASH HOTLINE 321-773-9820
  • NEW HASHERS (virgins) ALWAYS WELCOME!!!
  • PICTURES: click on the chain for new hash pics and send your pics to be posted !
  • FREE STUFF: click on trails.com banner to sign up for 3 free issues of mounatin bike mag.
  • PLEASE SIGN THE GUESTBOOK !
  • SEE THE SCROLLING BANNER FOR UP TO THE MINUTE HASH NEWS AND FUN RIDES!
HASH LINKS THE WORLD HASH HOUSE HARRIERS
TRAIL MARKING GUIDE

HARRIER.NET HASH RESOURCES

DOWN DOWN
...
BIKO PSYCO

62. Password Hashing Using C
Password hashing using C by Salman. Password hashing in C . ASP.NET providesa very convenient way to create a hashed string from a user inputted value.
http://www.csharpfriends.com/Articles/getArticle.aspx?articleID=344

63. Arimta Crypto
Cryptography component with focus on interoperability. Supports MD5 hashing and AES (Rijndael) encryption / decryption with custom IV, CBC mode, and PKCS7 padding. Processes data in Hex, Base64, Unicode string, or binary formats. By Arimta Technology. Component, Commercial
http://www.arimta.com/?go=Crypto

64. Hashing Animation Tool
Trouble viewing the applet? Click for Operating Requirements.
http://www.engin.umd.umich.edu/CIS/course.des/cis350/hashing/WEB/HashApplet.htm
Trouble viewing the applet? Click for Operating Requirements

65. Index
Includes roster, history and hashing information.
http://www.carolinatrash.com/
NEXT (Local)
TRAIL
30 MAY 04 3 PM
The Pine Club
1103 Pamalee Drive
Between Blanton/Bragg Blvd
Hare: When Harry met Anus THRISTY THURSDAY
27 MAY 04
9 PM (ish)
The Big Apple
Yadkin Road OLD SCHOOL TT 7:30 PM Barnes and Knoble 28-31 MAY 2004: NASH HASH JUL 2-5: Tubing in the Shenandoah (TITS) AUG 13-15:; Devil Went Down to Dayton 666-669 SEP 24-26:; SavannaHHH Hashfest DEC 3-5:; CTrH3 20th Analversary and Prom from Hell (REGISTER NOW)
You Are Wanker Page updated 25 May 04 by I.U.D. I'M Back!!! The streets will flow with the blood of the non-belivers!!!

66. Southwest Hashing And Orienteering - Home Page
Information on hashing, Orienteering and Pedal Bashing in Southwest England, includingnews, a monthly diary, contacts, weblinks and a directory for southwest
http://www.btinternet.com/~james.head/hashwebsite/
Home Page
Welcome
Welcome to the Southwest Hashing and Orienteering Website. The aim of this website is to keep people informed of forthcoming events and news regarding Hashing, Hash House Harrier groups and Orienteering in the southwest of England. If you have any items of interest, comments or news for this site please contact me
News
Click on a subject to find out more. Kirton H3 and Ashburton H3 Charity Hash for the Samaritans 50th Birthday Biggles' Birthday Photos
What's New on the Website
The full June 2004 Southwest Hashing and Orienteering Diary is now ready to view. You can download a copy in Adobe Acrobat PDF format here A page has been added showing the Ordnance Survey National Grid References for some of the most commonly used areas, for hashing and orienteering, shown in the diary. You can view the page here and it's also linked from the diary pages . If you don't know how to use an Ordnance Survey National Grid Reference then you can find out how by following this link.

67. Index
Provides details about clubs in Dorset, Hampshire, and South Wiltshire. Contains pictures, a run listing, news items, and membership details. Running trails around 5 to 6 miles in length.
http://hashers.tripod.com
var cm_role = "live" var cm_host = "tripod.lycos.com" var cm_taxid = "/memberembedded"
font face="arial" color="#330099" size="6"> CLICK HERE TO ENTER THE WORLD OF HASHING

68. Charlotte Hash House Harriers
Information on hashing, events, members and related links.
http://www.charlotteh3.org/

Hash House Harriers Press Kit and FAQ
HASH HISTORY Go To The Hash Great National and International Hash Information: Home of the Swamp Member of the
International Hash House Harriers Web Ring.
W e l c o m e t o C harlotte .org(y) You have reached the Internet home of the Charlotte Hash House Harriers . The best little Hash House in the South! The CH³ have been running and drinking around the Queen City of Charlotte, North Carolina (USA) since 1992 . Founded in Kuala Lumpur, Maylasia in 1938, Hashing is a mixture of athleticism, sociability, hedonism and hard work; most of all its a refreshing break from the grind and a chance to drink beer with great friends. A Hash Trail is an exhilaratingly fun combination of running, orienteering, and partying, where bands of "Harriers" and "Hairiettes" chase hares or follow marks of flour on 3-to-5 kilometer (2-4 miles) long trails through town, the woods, sewers, even the airport*, all in search of exercise, camaraderie, and the ever elusive "Beer Stop." Click on the links to the left to learn more and to find the next Charlotte Hash . Need a Hash out of town ? Try some of the links here . The history and time line of the Charlotte Hash is here ONON!

69. What Is Hashing? - Q&A
hashing? Rating Not yet rated, Rate this question N/A. What is hashing?Answer by naidu_trk. Submitted on 12/18/2003.
http://www.faqs.org/qa/qa-5883.html
...hashing?
Internet RFC Index Usenet FAQ Index Other FAQs Documents Search
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Home Answered Questions
Question by devi Submitted on 10/16/2003 Related FAQ: comp.lang.c FAQ list Table of Contents Rating: Not yet rated Rate this question: N/A Worst Weak OK Good Great What is hashing?
Answer by naidu_trk Submitted on 12/18/2003 Rating: Not yet rated Rate this answer: N/A Worst Weak OK Good Great hashing is a process of generating an index or address basing on ur data .For example file systems use hash table to generate the disk location using the filename. A good hash function is the one which generates distinct addresses for distinct file names.
Your answer will be published for anyone to see and rate. Your answer will not be displayed immediately. If you'd like to get expert points and benefit from positive ratings, please create a new account or login into an existing account below.
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70. FIRST UNITED KINGDOM FULL MOON HASH HOUSE HARRIERS
Traditional Moonlight hashing, around the Greater North London area. Details of future runs and past horrors.
http://www.fukfmh3.freeuk.com/
Welcome to the
F irst U K F ull M oon
H ash H ouse H arriers
W ebsite
Details of R*n 200
updated 20/05/2004
FUK History Hash History Virgins Guide Handy Hints Mismanagement Receding Hareline Run Reports Horrors Vindaloo Lynx Gallery fuk history hash history virgins guide hash hints ... gallery

71. Hashing In Forth
hashing in Forth. Xan Gregg Durham, North Carolina. The time/spacetradeoff is what hashing is all about. . hashing provides
http://www.forth.org/fd/hash.html
Hashing in Forth
Xan Gregg
Durham, North Carolina
"The time/space tradeoff is what hashing is all about." Hashing provides a fast way to search a large, unsorted data set at the cost of extra memory. Robert Sedgewick, in his book Algorithms, concisely describes hashing as "directly referencing records in a table by doing arithmetic transformations on keys into table addresses." That should make sense to you by the end of this article, but first, let's consider a simple example. Suppose you have to write code to manage a database of about 50,000 records referenced by 16-bit record numbers. Record insertions and deletions are common, so they can't be too slow, and record look-ups are frequent and must be fast. You are given 64K of RAM in addition to the memory and disk space occupied by the data, and you know that each record is referenced by a unique three-letter code, like airports are in the U.S. As a Forth programmer, you realize that a three-letter string is also a three-digit base-26 number, and you make a table with 26 x 26 x 26=17,576 entries, with each entry containing the record number. Insertion and deletion are straightforward you just have to update the table with each operation. Finding a record from its key involves only packing three letters into a 15-bit number and using it as an index into the table. Then you have the record number. If you can do that, you already understand the basic concepts of hashing. Hashing requires a hash function and a hash table. The hash function converts a key value, such as a text string or a large number, into a hash table address. Each entry in the hash table points to a record in the data set.

72. Music City Hash House Harriers
hashing club that runs every 1st, 3rd, and 5th Saturday, plus special occasions.
http://www.geocities.com/mch3_nashville/
Music City Hash House Harriers
Established June 15, 1991
"A Drinking Club with a Running Problem"
3P's MCH3 pages
Hareline
Photos
Mis-management ...
H.H.H Links
Info on the United nations anal hash
Click to subscribe to mchash
3holer your webmeister This site is a member of WebRing. To browse visit here

73. Indexing & Hashing
next previous Next Basic Concepts Previous No Title. Indexing hashing.Many queries reference only a small proportion of records in a file.
http://www.cs.sfu.ca/CC/354/zaiane/material/notes/Chapter11/node1.html
Next: Basic Concepts Previous: No Title
  • Many queries reference only a small proportion of records in a file. For example, finding all records at Perryridge branch only returns records where bname = ``Perryridge''.
  • We should be able to locate these records directly, rather than having to read every record and check its branch-name. We then need extra file structuring.
  • 74. Cambridge Hash House Harriers Website
    Meets every Sunday starting at 11am sharp. Site includes a run schedule, statistics, contacts, and information about hashing in the Cambridge area.
    http://www.ch3.co.uk/
    CLICK HERE FOR FREE DOMAINS CLICK HERE FOR FREE DOMAINS

    75. H [Security]
    hash A fixedsize result obtained by applying a mathematical function (the hashingalgorithm) to an arbitrary amount of data. See also hashing functions.
    http://msdn.microsoft.com/library/en-us/security/security/h_gly.asp
    MSDN Home MSDN Library Security Security Glossary Platform SDK: Security
    H
    A B C D ... E F G H I J K L M N ... P Q R S T U ... X Y Z
    handle
    A token used to identify or access an object, such as the handle to a cryptographic provider, certificate store, message, or key pair.
    hash
    A fixed-size result obtained by applying a mathematical function (the hashing algorithm ) to an arbitrary amount of data. (Also known as "message digest.") See also hashing functions
    hash object
    An object used to hash messages or session keys. The hash object is created by a call to CryptCreateHash . The definition of the object is defined by the CSP specified in the call.
    hashing algorithm
    An algorithm used to produce a hash value of some piece of data, such as a message or session key. Typical hashing algorithms include MD2, MD4, MD5, and SHA-1.
    hashing functions
    A set of functions used to create and destroy hash objects, get or set the parameters of a hash object, and hash data and session keys.
    Hash-Based Message Authentication Code
    (HMAC) A keyed hashing algorithm implemented by Microsoft cryptographic service providers. It is a more complex algorithm than the simple CBC MAC algorithm because it uses a secret symmetric key to create the hash. It can be used with any iterated cryptographic hash algorithm, such as MD5 or SHA-1.
    HCSBC
    Data type which serves as a handle to a Certificate Services backup context. Its role is to maintain context state between the server and the backup APIs when a backup is being performed.

    76. Salisbury Hash House Harriers Home
    Human hare chasing club. Contact details and programme of future trails .
    http://freespace.virgin.net/martin.alien/hashing/ma.htm
    Haunch of Venison (MRC) Hash House Harriers
    Alias:
    sometimes found in our shorts! Check Here for our Programme of Future Trails to Run updated May 26th Check Here for the UK Nash Hash 2003!
    Check Here
    for the UK Hashing Directory Hosted by Bicester H3
    Check Here
    for the Worthy Winchester Hash on Mondays
    Check Here
    for the Wessex Hash on Sundays
    Check Here
    for the Dorset Hospitality Hash on Fridays Welcome to the Haunch of Venison Hash House Harriers homepage. (We rarely talk about the Mountain Rescue Club bit) We think we are a group who spend every Wednesday evening, running, walking, stopping, starting, crawling, shortcutting, backtracking, rushing, stopping, flirting, re-grouping, anything for an hour or so to get thirsty. Check here to read a better description. Then we DRINK, YES! Official start time is always 7pm (but we generally set off at 7pm prompt! leaving arrows for the retarded) Official contact is:
    Paul "Tall Paul" Simmonds Tel: 01722 502257.
    Unofficially, e-mail please to nellanitram@hotmail.com

    77. Security Briefs: Hashing Passwords, The AllowPartiallyTrustedCallers Attribute -
    hashing Passwords, The AllowPartiallyTrustedCallers Attribute. Keith Brown,Download the code for this article SecurityBriefs0308.exe (110KB).
    http://msdn.microsoft.com/msdnmag/issues/03/08/SecurityBriefs/
    Microsoft.com Home Site Map MSDN Home Developer Centers ... MSDN Worldwide Search for
    MSDN and KB MSDN Library Code and Downloads MSDN Magazine Knowledge Base (KB)
    Advanced Search
    MSDN Magazine Home August 2003 Search ... August 2003 Hashing Passwords, The AllowPartiallyTrustedCallers Attribute
    Keith Brown

    Download the code for this article: SecurityBriefs0308.exe
    Q How can I store passwords in a custom user database?
    A There are several options. The simplest might leave you with cleartext passwords. The following example is XML, but you could easily use a database table:
    The first approach you might take to protect these passwords is to encrypt them. That's better than nothing, but it's not the best solution either. In order to validate a user's password, you need the encryption key, which means it needs to be available on the machine where the passwords are processed. While this does raise the bar a bit because the attacker must find the key, there's a better solution that doesn't require any key at all: a one-way function.
    A cryptographic hash algorithm like SHA-1 or MD5 is a sophisticated one-way function that takes some input and produces a hash value as output, like a checksum, but more resistant to collisions. This means that it's incredibly unlikely that you'd find two messages that hash to the same value. In any case, because a hash is a one-way function, it can't be reversed. There is no key that you need to bury. So let's imagine you hash the password before storing it in the database:

    78. Bibliography On Hashing
    Bibliography on hashing. This bibliography is a part of the ComputerScience Bibliography Collection. The Bibliography on hashing.
    http://liinwww.ira.uka.de/bibliography/Theory/hash.html
    The Collection of
    Computer Science Bibliographies Up: Bibliographies on Theory/Foundations of Computer Science Collection Home
    Bibliography on Hashing
    About Browse Statistics Number of references: Last update: January 26, 2004 Number of online publications: Supported: yes Most recent reference: September 2003 Info: Version 1.29 Search the Bibliography Query: Options case insensitive Case Sensitive partial word(s) exact online papers only Results Citation BibTeX Count Only Maximum of matches Help on: [ Syntax Options Improving your query Query examples
    Boolean operators: and and or . Use to group boolean subexpressions.
    Example: (specification or verification) and asynchronous Information on the Bibliography
    Author:
    Nelson H. F. Beebe (email mangled to prevent spamming)
    Center for Scientific Computing
    Department of Mathematics
    University of Utah
    Salt Lake City, UT 84112
    USA
    Abstract:
    This bibliography records publications on the subject of hashing, i.e., algorithms for lookup of keys in large lists in (on average) constant time. For static collections of text, such as data on CD ROMs, minimal perfect hash functions are of considerable interest, and the reader's attention is drawn to the important breakthroughs represented by the work of E. Fox and collaborators (19881992), which now permit derivation of hash functions for collections of millions of keys, instead of at most a few hundred with the methods of earlier work.

    79. Isca Hash House Harriers
    hashing in and around Exeter, Devon every Wednesday evening. Provides pictures, a hash diary, news items, and related links.
    http://www.alandhel.eurobell.co.uk/
    Isca Hash House Harriers Hashing in and around Exeter every Wednesday evening at Diary Roman Away Day Check out forthcoming Isca H3 hash venues (with helpful maps to get you there!) Photos from previous Roman Away Days. South West Interhash Post Ramble Incorporating the 2004 Roman Away Day Click HERE for more info and registration details South West Hash Diary All About Isca Hash venues for the month ahead and contact details for all South West hashes. Isca H3’s history, contact details and statistics. The UK H3 Homepage Buzby’s Hash Pages Information Line: 07005 860 130

    80. Hashing
    hashing is a mathematical technique to convert a key into an array index.It is useful if we have keys with a limited set of unique values.
    http://www.delphiforfun.org/Programs/Math_Topics/hashing.htm
    Home Programs Math Topics Circle touching 3 points ...
    X^4 - X^2

    Hashing is a mathematical technique to convert a key into an array index. It is useful if we have keys with a limited set of unique values. For example, the set of Delphi reserved words or the set of words in the dictionary. It is further desirable that we access the entries many times - since retrieval is much faster than other types of searching, applications with many lookups are ideal candidates. The function that performs this conversion is called the hashing function and the array that we will index is called the hash table, the positions in the table are frequently referred to as buckets . The ideal hashing function for a fixed size set of key values would translate every valid key into a unique bucket. For the more general case, the best we can hope for is that the hashing function creates hashed keys that are uniformly randomly distributed across the the table. Clearly the hash table must be at least as large as the number of unique values that will be inserted. For performance reasons, it is desirable to have the table considerably larger. This is because, most hashing functions are many to one, i.e. it is possible that more than one input will produce the same output. For valid entries, this is known as a collision , and must be handled. One common technique is to start checking buckets sequentially until we find a matching entry or we find an empty bucket. There are other techniques as well. The ratio of the number of entries to the number of buckets is called the

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