21. Dynamic Hashing Schemes A new type of dynamic file access called dynamic hashing has recently emerged. It promises the flexibility of handling dynamic files while preserving the http://portal.acm.org/citation.cfm?id=330532

22. Dchashing.org/net/com Weekly calendar of local hashes. Coming Local Events . . . WH4 Holiday Party. Saturday, January 26th,2008 8pm2am Finn macCool s Irish PublickHouse http://www.dchashing.org/

Weekly calendar of local hashes Coming Local Events WH4 Holiday Party Saturday, January 26th,2008 8pm-2am Finn macCool's Irish PublickHouse 713 8th St SE, Washington DC MVH3 Annual General Meeting (AGM) April 25-27th, 2008 Theme: "Think Beach!" Details to come Last update: January 7th, 2008 Hard Drive t SE

23. Libketama - A Consistent Hashing Algo For Memcache Clients – RJ’s Jour This meant that whenever we added or removed servers from the pool, everything hashed to different servers, which effectively wiped the entire cache. http://www.last.fm/user/RJ/journal/2007/04/10/392555/

Music Users Listen Events ... Upload music and videos You are not logged in Log in Help English RJ Overview Charts Journal Groups ... Tags Loading… RJ’s Journal libketama - a consistent hashing algo for memcache clients libketama - a consistent hashing algo for memcache clients 10 Apr 2007, 17:36 server = serverlist[hash(key)%serverlist.length]; This meant that whenever we added or removed servers from the pool, everything hashed to different servers, which effectively wiped the entire cache. We add (and sometimes remove) servers from the memcached pool often enough to warrant writing this - if your memcached pool never changes, you can probably stop reading now :) Ketama is an implementation of a consistent hashing algorithm, meaning you can add or remove servers from the memcached pool without causing a complete remap of all keys. Here's how it works: * Take your list of servers (eg: 1.2.3.4:11211, 5.6.7.8:11211, 9.8.7.6:11211) * Hash each server string to several (100-200) unsigned ints * Conceptually, these numbers are placed on a circle called the continuum. (imagine a clock face that goes from to 2^32) * Each number links to the server it was hashed from, so servers appear at several points on the continuum, by each of the numbers they hashed to.

24. How To Use Maresware To Validate Voter Machine Software. A procedure using Hash and Hashcmp programs (based on the MD5 and SHA algorithm) Using hashing , as it is called, they can authenticate electronic data http://www.dmares.com/maresware/articles/hash_faqs.htm

Computer Forensics and Data Analysis Software Training Services Search: Featuring Home What's New Software Training Services Reference About Us FAQs Articles Resources Our Company Legal Notices Contact Us Quick Help Order: online Order: online (secure) How to Order e-mail us Data Integrity: How to Authenticate Your Electronic Records A procedure using Hash and Hashcmp programs (based on the MD5 and SHA algorithm) Voting machine/software section How do you prove that electronically-stored records are authentic? It is a problem faced daily, in both the public and private sectors. For example: Banks must have verifiable storage procedures for customers' financial transaction records. Libraries and other archivists must be able to prove that their documents are authentic. State voting authorities must guarantee that the voting machine software has not been altered from its original installation. Public safety 911 centers must confirm that the software which runs the 911 systems has not been altered. Auditors, corporate CEOs and CFOs must be able to validate data that forms the basis for audit reports, tax returns, employee pension plan records, and financial statements filed with the Securities and Exchange Commission. The Sarbanes-Oxley Act of 2002 , section 1102 and others, served to heighten awareness of just how critical such validation capabilities are. And, in every setting, software users handling sensitive data must have a way to confirm that the software they originally installed hasn't been altered, contaminated, or tampered with.

25. MD5 Hashing Function - Version 1.0 The following example shows a valid MD5 resinfo extension with two MD5 hashes of the referenced information resource. The first without a date, http://www.w3.org/TR/1998/REC-DSig-label/MD5-1_0

MD5 Hash Algorithm - Version 1.0 This document provides an overview of the Message Digest 5, and details how a MD5 digest is encoded in a Resource Reference Information Extension, providing the digest of a referenced web resource. Status of this Document This document is part of the DSig 1.0 Recommendation . It has been reviewed by W3C Members and other interested parties and has been endorsed by the Director as a W3C Recommendation. It is a stable document and may be used as reference material or cited as a normative reference from another document. Last updated: 1998-05-27T18:31:36Z Overview This hash algorithm is identified by the URL http://www.w3.org/TR/1998/REC-DSig-label/MD5-1_0 The hash algorithm is defined in The MD5 Message Digest Algorithm , R.L. Rivest, RFC 1321 , April 1992 The MD5 algorithm (Message Digest 5) is a cryptographic message digest algorithm. MD5 was designed by Ron Rivest , who is also the `R' in `RSA' in 1991. MD5 is described in . C source code is included with the RFC. It is basically MD4 with "safety-belts" and while it is slightly slower than MD4, it is more secure. The algorithm consists of four distinct rounds, which have a slightly different design from that of MD4. Message-digest size, as well as padding requirements, remains the same. Den Boer and Bosselaers [B. den Boer and A. Bosselaers. Collisions for the compression function of MD5. In Advances in Cryptology - Eurocrypt '93 , pages 293-304, Springer-Verlag, 1994.] have found pseudo-collisions for MD5 (

26. Hashing A small paper that explains how hashing works with examples in Pascal. http://www.palfrader.org/hashing/

home Hashing 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'.

27. 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 http://www.ibm.com/developerworks/java/library/j-jtp05273.html

Country/region select All of dW AIX and UNIX IBM Systems Information Mgmt Lotus Rational Tivoli WebSphere Architecture Autonomic computing Grid computing Java technology Linux Open source Power Architecture Web development XML dW forums alphaWorks All of IBM Home Products My IBM developerWorks ... Rate this page Related links Java technology technical library developerWorks Java technology Java theory and practice: Hashing it out Document options Document options requiring JavaScript are not displayed Discuss Rate this page Help us improve this content Level: Introductory Brian Goetz brian@quiotix.com ), Principal Consultant, Quiotix Corp 27 May 2003 Every Java object has a and an method. Many classes override the default implementations of these methods to provide a higher degree of semantic comparability between object instances. 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 in order to define and effectively and appropriately.

28. Hashing In Forth 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 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.

29. Tom White: 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 http://problemsworthyofattack.blogspot.com/2007/11/consistent-hashing.html

skip to main skip to sidebar Tom White Problems worthy of attack prove their worth by hitting back. Piet Hein Tuesday, 27 November 2007 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 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 Last.fm ). 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 n changes and every object is hashed to a new location . This can be catastrophic since the originating content servers are swamped with requests from the cache machines. It's as if the cache suddenly disappeared. Which it has, in a sense. (This is why you should care - consistent hashing is needed to avoid swamping your servers!)

30. What Is Hashing? The trail consists of chalk or flour marks, or pieces of paper, depending on the particular hash. The trail can be prelaid or begun just a few minutes http://www.kobehash.com/what.htm

What Is Hashing? Basically a hash consists of: 1. A run. A trail is laid by one of the hashers (the hare). The trail consists of chalk or flour marks, or pieces of paper, depending on the particular hash. The trail can be pre-laid or begun just a few minutes ahead. At a given signal the rest of the hash, (the harriers, hounds or pack) set off in pursuit. The idea is that there will be tricks, or false trails, so that the pack stays somewhat together. The length and difficulty of the run depends on the hash, and the hare, but will typically be between 6 and 10 km, or about an hour. 2. A circle. When the run is over the harriers gather together to drink beer and observe their religious ceremonies which consist of drinking more beer, this time ritualistically. Down downs (drinking in one) are given to the hare, newcomers, and anyone else for which it is thought appropriate. The ceremonies can last a couple of minutes or half the night depending on the level of religious fervor of the hash. 3. The On On. Most hashes suspend the religious activities for while to repair to a local hostelry where more beer is drunk and food may be served. Religious activities then continue. Depending on the nature of a particular hash the On On may become somewhat debauched, (if you are lucky).

31. BioRUST.com :: Tutorials >> Md5() Hashing Using PHP md5() converts a string of text into a 32character hash, using a secret algorythm, so as to protect its source. md5() encrypted......Tutorial http://biorust.com/tutorials/detail/99/en/

BioRUST SiteWide Search - Biorust Tutorials ONLY - Biorust Downloads ONLY - Biorust Forums ONLY PHOTOSHOP FLASH ILLUSTRATOR BLENDER ... WEB-CODING A Simple MD5-Hashing Script $encstring = md5($string); echo $encstring; This will produce a 32-character jumble of letters and numbers, which will not resemble the original input string in the slightest. In this case, the output would be "fc8de8ee2c43a9ae2f9023f205d960d6". You can use this method to protect admin areas and member only pages, but it has limited reliability, so I do not recommend using this function to protect administration areas for big businesses or important websites. It is, however, more than sufficient for small businesses and for personal use. The md5 hashing algorithm is a non-reversible hash, although recently there has been much activity in building scripts that have this functionality. There are numerous accomplishments from people who have achieved this so far, although the de-hashing of an md5 hash takes an incredibly powerful computer and a lot of time (I ran a PHP script to do a 5 character password hashed into an md5 hash and it crashed my PC). A Log-in Password Verifier (using MD5) login.php

32. Portable PHP Password Hashing Framework A portable public domain password hashing framework for use in PHP applications. Tested with PHP 3, 4, and 5. http://www.openwall.com/phpass/

Openwall Project /home Owl JtR ... CVSweb bringing security into open environments This website is powered by Openwall GNU/*/Linux security-enhanced OS Portable PHP password hashing framework Please note that password hashing is often wrongly referred to as "password encryption". Hashing is a more appropriate term since encryption is something that is supposed to be easily reversible. This is a portable public domain password hashing framework for use in PHP applications. It is meant to work with PHP 3 and above, and it has actually been tested with at least PHP 3.0.18, 4.3.x, 4.4.x, 5.0.x, 5.1.x, and 5.2.x so far. The preferred (most secure) hashing method supported by phpass is the OpenBSD-style Blowfish-based bcrypt , also supported with our public domain package (for C applications), and known in PHP as CRYPT_BLOWFISH, with a fallback to BSDI-style extended DES-based hashes, known in PHP as CRYPT_EXT_DES, and a last resort fallback to an MD5-based variable iteration count password hashing method implemented in phpass itself. To ensure that the fallbacks will never occur, the

33. Hashing Thycotic Software developer Kevin Jones discusses hashing and in particular, SHA512. He provides an overview of what hashing is as well as the risks, http://www.thycotic.com/articles_hashing.html

Home Store My Account Forums ... About (empty) Login Secure Licensing API Two Factor Authentication Overview More Products Typing Test DatabaseScripter Open Source AJAX Remote Scripting TddStarterKit The Company Careers Consultant Blogs Publications Articles Hashing Extranet Services Custom Development Support Training Secret Server Overview Features/Screens Testimonials Download ... Migrating from eWallet Some users who are currently using eWallet and other single user password managers want to migrate to an enterprise solution. This will give them the benefit of tracking and managing all privileged passwords in a company. We are currently working with one customer to produce a tool that will allow a user to migrate from eWallet to Secret Server as painlessly as possible. Remote Desktop - peek into the future ... Here is a teaser trailer showing automatic opening of Remote Desktop from a secret in Secret Server. Watch movie (Remote Desktop from Internet Explorer) Watch movie (Remote Desktop from Firefox) Secret Server 4.0 We are happy to announce that Secret Server 4.0 is scheduled for release on December 21st Bulk Operation "Edit Share" explained

34. PlanetMath: Hashing hashing refers to an information storage and retrieval technique which is very widely used in realworld applications. There many more potential places it http://planetmath.org/encyclopedia/LinearProbing.html

(more info) Math for the people, by the people. Encyclopedia Requests Forums Docs ... RSS Login create new user name: pass: forget your password? Main Menu sections Encyclop¦dia Papers Books Expositions meta Requests Orphanage Unclass'd Unproven ... Classification talkback Polls Forums Feedback Bug Reports downloads Snapshots PM Book information News Docs Wiki ChangeLog ... About hashing (Topic) Introduction Hashing refers to an information storage and retrieval technique which is very widely used in real-world applications. There many more potential places it could profitably be applied as well. In fact, some programming languages these days (such as Perl) are designed with hashing built-in, so the programmer does not even have to know about them (or know much about them) to benefit. Hashing is inspired by both the classical searching and sorting problems . We know that with comparison-based sorting, the quickest we can put a set of n items in lexicographic order is . We can then update the sorted structure with new values either by clumsy reallocations of memory and shifting of elements, or by maintaining list structures. Searching for an item in a sorted set of items is then no faster than While fast compared to other common algorithms , these time complexities pose some problems for very large data sets and real-time applications. In

35. Seletar Hash House Harriers, Singapore The Hash House Harriers is a running/drinking/social club which was started by bored expatriates in Kuala Lumpur, Malaysia in 1938. ( Hash House is the http://seletar.hash.org.sg/hashingSH3.html

Home Hashing with SH3 Committee/Contacts Newsletters ... OnHome Memorial Page Seletar Hash House Harriers (The Drinking Club with a Running Problem) How do I join? The Seletar HHH runs every Tuesday no matter if it rains, shines, snows, or if there is an earthquake, a strike, a revolution, a drought, or any other man-made or God-sanctioned catastrophe. All wankers (notice the male gender) are most welcome to a Seletar run. Want to be a Seletar Hashman? Download the application form Who are the Hash House Harriers? Stolen shamelessly from the rec.running FAQ. The Hash House Harriers is a running/drinking/social club which was started by bored expatriates in Kuala Lumpur, Malaysia in 1938. ("Hash House" is the nickname of the restaurant/bar to which they retired for food and beer after a run). Hashing is based on the English schoolboy game of "Hare and Hounds"; a Hash is a non-competitive cross-country run set by one or more runners called hares. The hares run out in advance of the other runners (the pack of hounds), and set a course marked by white flour, toilet paper, and/or chalk marks. Don't be shy about hashing - if you've half a mind to join the hash, that's all you'll need!

36. Phil Dawes’ Stuff » Blog Archive » Hashing Searching Sketching In particular it includes a remarkable recent observation for the improvement of hash tables Hash table loading and performance can be dramatically http://www.phildawes.net/blog/2007/03/08/hashing-searching-sketching/

Home Programming, Semantic Web, AI, stuff like that. Feed on Posts Comments Hashing Searching Sketching Mar 8th, 2007 by Phil Dawes For the computer scientists in the room: Google techtalks rock, and this one about recent advances in retrieval techniques was especially interesting to me. In particular it includes a remarkable recent observation for the improvement of hash tables: Hash table loading and performance can be dramatically improved simply by using more than one hash algorithm in the lookup I.e. instead of doing one hash lookup, you hash the item with two functions (to get two results) and look in both buckets - one of them will contain the element. (i.e. constant lookup time) On insert you hash twice and put the element in the bucket with the smallest number of elements. A further optimisation: moving elements to their pairs to optimise loading With this scheme you can store ~1.7n values in n buckets with very low probablility of overflow. The techtalk is definitely worth a watch - I found the speaker entertaining and easy to follow. Posted in workfriendly programming algorithms hashing ... Comments RSS Leave a Reply OpenID Sign in with your OpenID WARNING - using this feature means that your comment won't appear on the page until it's approved, so it actually looks like you haven't submitted it. I'll hopefully have this fixed soon

37. Hashing [CiteSeer; NEC Research Institute; Steve Lawrence, Kurt DDH extends the idea of dynamic hashing algorithms to distributed systems. DDH spreads data across multiple servers in a network using a novel autonomous http://citeseer.ist.psu.edu/SoftwareEngineering/DataStructures/Hashing/

38. Hashing - Advanced .NET Encryption And Hashing Library The Best Tool For Hashing hashing Advanced .NET encryption and hashing library The best tool for hashing and checksumming. http://hashing.qarchive.org/

Laboratory Online Antivirus Software Forum Submit News ... Submit Product Hashing Search: Close Top queries md5 hash library best encyption hash net checksum algorithm best encryption algorithm net ... net encryption algorithm hash key Last queries vbscript algorithm of encryption hash library windows crc checksum algorithm aes symmetric net ... gaming Additional functions Create User Account Submit Product Account Email: Password: Hyper Hasher Suite No worky on Vista Aplication would not run at all on windows vista where i tried it. it installed fine, but died on start up. var template = "728x90"; var adblockBorderStyle = "border:#FFFFFF 1px solid"; var adblockTitleColor = "#FF0000"; var adblockBackgroundColor = "#FFFFFF"; var adblockTextColor = "#333333"; var adblockURLColor = "#FF0000"; var userKeyword = ""; var aid = "12028"; var said = ""; LLCryptoLib EDCrypt SetLiFu (Set Line Full) MSCCrypto for Linux LLCryptoLib is a .NET library which allows programmers to easily add encryption, integrity and authentication services to their software. It is compatible with MS .NET and Novell Mono environments. It also provides shredding methods. EDCrypt is an ActiveX control performing following functions: - encrypts and decrypts data using 6 strong symmetrical block ciphers - computes message digests of data using 18 hashing algorithms - securely shreds files The game of an increased level of complexity, will be interesting to the adults and children from 9 years.The objective of the game is the installation of blocks in a source state, which is demonstrated before the beginning of the game.

39. Geometric Hashing An Overview Your browser may not have a PDF reader available. Google recommends visiting our text version of this document. http://ieeexplore.ieee.org/iel4/99/13939/00641604.pdf

40. PwdHash The user can activate this hashing by choosing passwords that start with a PwdHash must somehow recognize the old password field and avoid hashing it. http://crypto.stanford.edu/PwdHash/

Web Password Hashing Description Publications Download Challenges ... Project Staff Description 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).

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