For example, in September 1995, a colleague and I reported serious security flaws in the techniques used for encrypting credit card numbers in the leading products facilitating the implementation of electronic commerce over the Internet.
The DVD copy protection system, which sometimes goes by the name "CSS," includes several components: the CSS cipher, the CSS authentication protocol, and the cryptographic keys associated with these algorithms.
the cryptographic properties of CSS, various documents written by the designers of the DVD security architecture, the DeCSS computer program, scholarly analysis of information about CSS by several researchers, and a number of other documents available on the Internet, including the Hoy reply.
In my lecture, I presented the CSS DVD security system as an example of a failed security system where students could learn from the designer's mistakes.
search_ini http://www.schrode.net/opera/search/search_ini.pdf
Want to adjust the little search buttons on the personal bar, too?
Andrzej is also the author of the Opera 6 Search.ini Editor (read more about it).
If you want to comment out a search, put a semi-colon; in front of each lines of this query.
This entry determines the order in which Opera will list the search entries in its dialogs, e.
You can add up to 50 "normal" (customized) search entries (plus Hotclick entries), but it's easier to just replace one of existing 17 entries.
The ampersand & denotes the mnemonic (some call it accelerator or shortcut key).
CIVR Seventy-one image searches conducted by graduate students on the web were analyzed to identify patterns of search state transitions used, and the overall frequency of specific state transitions.
Any combination of alpha, numeric, mathematical symbol, or image features input in order to match against system surrogates.
Original Queries: Used to distinguish the opening query in a search.
As can be seen in Table 4, sixty-eight percent of state transitions demonstrate this type of browsing activity while only eighteen percent were directly related to querying.
Because of limited space, it is not possible to show all the frequntly occuing state transition patterns.
START 18 Starting search with a SO:QOT textual query followed by QOT:WS viewing website surrogates WS:W and individual websites.
compared http://www.llrx.com/features/compared.PDF
Click Here for a PDF format of this article General Web search engines are getting smarter.
Additionally, the advanced search provides a variety of specialized search engines for finding specific information.
Special photo and media finder related searches can be performed by clicking on related pages on search results page basic search ranks by relevancy; advanced search users MUST use the sort by box to control ranking preferences punctuation other than mentioned in search language and restrictors is read as a word separator, or blank space using concept searching, now called intelligent search.
Results Display display reveals short summary, url, file size, page date and language word count reveals the number of times each search term appears translation option allows translation of any page display reveals url, relevancy score, and summary results show hits in directory first, then web, then news user can sort results by site or relevancy similar search feature allows a related search site compression in basic search shows only one page per web site; site compression is not automatic in advanced search, but can be turned on by a questions.
EEncannoucement
As the first joint project between the UK's leading family reference publisher and the world's most popular search engine, DK and Google are developing an innovative encyclopedia, e.encyclopedia, that will give families the best of conventional publishing hand-in-hand with the most satisfying and most effective use of the Internet.
e.encyclopedia, set for publication in October 2003, is a reference work that links a conventional book format with an updated web research resource.
Keywords on each entry in the book will direct readers to the DK/Google e.encyclopedia website, where they will be connected to information from a pre-selected range of more than 1,000 useful sites.
airlines
Which search engine is best at finding airline site home pages?
We evaluate the e ectiveness of 20 Web search engines on 95 site finding queries.
Each query names an airline, with the correct answer being the airline's o cial home page URL (as listed by the International Air Transport Association).
Performance varies widely across the 20 engines, indicating that site finding problem is not consistently well solved in practice.
The methodology was first developed by Craswell, Hawking and Robertson [1].
We used the IATA listing of its member airlines, choosing 95 sites.
3. Apply the queries at the engines being evaluated (Appendix B lists our 20 engines).
MSSearchOptions http://www.niso.org/committees/MSpapers/MSSearchOptions.pdf
Search options for Metasearch services promote efficient multi-target and multi-resource searching to enable fast retrieval of the most meaningful results.
This paper introduces the need for Metasearch tools, states the problems that must be overcome, and reviews the strengths and weaknesses of existing solutions with respect to critical search options.
The typical library of today offers access to well over one hundred electronic resources.
The Metasearch tools strive to simulate the Google 'one search' experience by offering a single UI to the end user that masks the variety of vendor specific UI's and databases.
The solution to these problems would obviously adhere to published industry standards, be parsimonious and friendly wrt to content vendor search server resources, and provide mechanisms to reduce information overload to end-users.
Bhavnani-CHI-2002 http://www-personal.si.umich.edu/~bhavnani/papers/Bhavnani-CHI-2002.pdf
An increasing number of users are performing searches on the Web in unfamiliar domains such as healthcare.
Towards that goal, healthcare and online shopping experts were observed while they performed search tasks within and outside their domains of expertise.
The verbal protocols were transcribed to understand the goals of the participants, and the interactions were codified to record the websites they visited.
Access Reliable Source rxlist.com healthfinder .com google.com niad .gov wyeth.com google .com
Knowledge of goal sequencing, and of specific URLs for each goal were also present in the search behavior of the shopping experts performing the Figure 1B, 3 of the 4 shopping experts (S1, S3, and S4) first identified highly reviewed cameras by visiting review sites such as CNET and ZDnet.
WISEnutWhitePaper
Using the latest and most powerful technologies, the WiseNut search engine crawls the Web faster than any other search engine on the market today, ensuring results are the freshest and best available on the Web.
And WiseNut's patent pending technology automatically categorizes search results on the fly for each and every query.
Any search engine user knows, however, that this often results in the retrieval of thousands of Web pages that are related to the query only by the fact that the keyword appears somewhere on each of those pages.
The ranker reads the link information from the Link Database and calculates page weight.
It then reads the list of indexed words in the Index Database, and calculates the rank value for each "Keyword-Page" pairing.
www2002-tek http://www.cag.lcs.mit.edu/commit/papers/02/www2002-tek.pdf
TEK stands for "Time Equals Knowledge," since the user exchanges time (waiting for email) for knowledge.
In a low-bandwidth environment, exploring the various links on a search engine's results page can require a large amount of time.
One goal of the TEK Server is to identify pages that are "highly informational", or that contain content, instead of references to other sources of information.
All of the results are compressed into a zip file before sending them back to the client, thereby further reducing the bandwidth needed to download the results.
A word-frequency table would let the TEK Client evaluate the semantic content of a query term or the number of likely 'hits'; the system could prompt the user for a different, or an additional, term.
prog7
In this assignment you will build a simple web crawler and search engine.
Your main tasks are to crawl a specified portion of the web, to build an index that allows you to quickly access portions of this web, and to respond to various types of queries---or web searches---much like Google queries.
For example, you should be able to type "hoojiedoober" and get a list of pages that contain the word "hoojiedoober."
This assignment asks you to choose appropriate data structures to support various query operations.
Thus, we ask you to consider three different types of queries, and we allow you to use different data structures to support each type of query.
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