From: cvs@openprivacy.orgCVS update: openprivacy/htdocs/notes
Date: Friday February 9, 19101 @ 13:16
Author: fen
CVSWEB Options: -------------------
Main CVSWeb: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi
View this module: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes
-----------------------------------
Update of /usr/local/cvs/public/openprivacy/htdocs/notes
In directory giga:/home/fen/projects/openprivacy/htdocs/notes
Modified Files:
whitepaper.shtml
Log Message:
last update for the weekend
*****************************************************************
File: openprivacy/htdocs/notes/whitepaper.shtml
CVSWEB Options: -------------------
CVSWeb: Annotate this file: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes/whitepaper.shtml?annotate=1.6
CVSWeb: View this file: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes/whitepaper.shtml?rev=1.6&content-type=text/x-cvsweb-markup
CVSWeb: Diff to previous version: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes/whitepaper.shtml.diff?r1=1.6&r2=1.5
-----------------------------------
Index: openprivacy/htdocs/notes/whitepaper.shtml
diff -u openprivacy/htdocs/notes/whitepaper.shtml:1.5 openprivacy/htdocs/notes/whitepaper.shtml:1.6
--- openprivacy/htdocs/notes/whitepaper.shtml:1.5 Fri Feb 9 02:26:31 2001
+++ openprivacy/htdocs/notes/whitepaper.shtml Fri Feb 9 13:16:01 2001
@@ -1,141 +1,193 @@
-<html>
- <head>
- <title>OpenPrivacy White Paper</title>
- <link title="Style"
- href="/resources/default.css"
- type="text/css"
- rel="stylesheet">
- </head>
- <body bgcolor="#ffffff">
-
-<!-- $Id: whitepaper.shtml,v 1.5 2001/02/09 10:26:31 fen Exp $ -->
-
- <h2>OpenPrivacy - Building a Better Internet</h2>
-
- <h3>Abstract</h3>
- <p>
- OpenPrivacy.org is building an Internet platform to take us into the
- next age - the age of personalized information. Basic to this goal is a
- platform that will provide people with complete control over their
- personal information and aid them in protecting their privacy while
- simultaneously enabling more efficient data mining and the access to
- specific market segments that advertisers crave.
- </p>
- <p>
- OpenPrivacy creates a secure marketplace for anonymous demographic and
- profile information, and a distributed, attack-resistant,
- reputation-based rating system that can be used for everything from item
- selection and ordering to search result filtering. Further, this system
- is completely open, allowing multiple communication mechanisms,
- languages and ontological meanings to co-exist - we thrive in diversity.
- </p>
- <p>
- To accomplish our goals, we introduce three new concepts: Opinions,
- Reputations and Bias. These are all first class, signed objects that
- are created at will under a multitude of pseudonymous entities
- maintained by the user's client. A fourth concept, that of a personal
- Profile, is created virtually from a collection of the first three
- objects in such a way that only the owner of the information can
- validate the connections between them, but others may - if granted
- access, can mine for potentially profitable correlations.
- </p>
- <h3>Background</h3>
- <p>
- The manner in which personal (profile) information is collected and used
- today is grossly inefficient not to mention a massive violation of
- privacy. It [current standard practice] developed over the course of
- the last hundred years as capitalism matured and corporations grew more
- powerful. New, precise mechanisms could replace the current shotgun
- approach, but Industry is so far along the path paved by their marketers
- that they can't see the opportunity. (Remember that the marketers were
- originally beholden to Industry, but now Industry is beholden to the
- marketers.) Their fear, reinforced by the marketers, is that ,
- </p>
- <h3>What a Profile Is (and How Is Profile Data Used)</h3>
- <p>
- <font color="red">
- <i>
- how is profile data collected? what does it comprise of? how is it
- used? what is its value?
- </i>
- </font>
- </p>
- <p>
- For traditional marketing mechanisms to work, profile data must be
- linkable to the people that it refers to. Such links may be one's phone
- number, postal or electronic mail address, a persistent cookie saved by
- a company's web site on one's computer, or other devices.
- </p>
- <h3>Privacy Concerns</h3>
- <p>
- <font color="red">
- <i>
- being tracked and watched. junk mail. spam. profile data being used,
- misused and sold without the principal's permission.
- </i>
- </font>
- </p>
- <h3>Anonymity</h3>
- <p>
- The concept of anonymous profile data strikes fear into the hearts of
- marketers, for while they could mine the data for concordances of
- interest, they would not be able to contact the market segments so
- identified.
- </p>
- <h3>Collaborative Filtering and Recommendation Systems</h3>
- <p>
- The data mining of anonymous data can have its uses, as in simple
- collaborative filtering systems. These systems collect inputs from many
- people on a particular subject (say, what their current favorite movie
- is) and then average the results and come up with recommendations. This
- works with reasonable accuracy in a well behave populace...
- </p>
- <h3>Publishing with Pseudonymity</h3>
- <p>
- Pseudonymity
- </p>
- <h3>Reputations Aid Discovery</h3>
- <p>
-
- </p>
- <h3>The Value of Information [Quality]</h3>
- <p>
-
- </p>
- <h3>An Agoric, Reputation-based Marketplace [Capitalism]</h3>
- <p>
-
- </p>
- <h3>Efficiency Via Chaos and Bias</h3>
- <p>
- Chaos is an essential element for systems to evolve, for without it the
- unexpected changes and mutations that lead to new, often revolutionary
- processes will not have a chance to occur. The very fact that people are
- all different - not only from each other but even with one's self from
- moment to moment - has a valuable ramification: that we all have
- different opinions and bias. This points to a major failing of search
- engines: that each person who enters the same search X probably has a
- slightly different mind set of what they would like to see as results.
- </p>
- <p>
- OpenPrivacy thrives in this multitude of opinion, this diversity of
- thought, for though we are all different, there are certain areas that
- two very different people may align with. For example, suppose person A
- reads the New York Times every day and finds an average of four articles
- that A considers tops - well worth the cost of the paper and her time to
- find them. Now consider that there probably exists a person B who finds
- the same four articles to be indispensable. The safe, secure,
- pseudonymous publishing environment of OpenPrivacy, along with the
- agoric marketplace of a million infomediaries looking for valuable
- concordances, make it possible for these two people to virtually meet.
- Further, A may strike a deal with B to provide her with the editorial
- filtering process, saving A time and aiding B at least in reputation if
- not also financially.
- </p>
+<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+ <html>
+ <head>
+ <title>OpenPrivacy White Paper</title>
+ <link title="Style"
+ href="/resources/default.css"
+ type="text/css"
+ rel="stylesheet">
+ </head>
+ <body bgcolor="#ffffff">
+
+ <!-- $Id: whitepaper.shtml,v 1.6 2001/02/09 21:16:01 fen Exp $ -->
+
+ <h1>OpenPrivacy - Building a Better Internet</h1>
+
+ <h2>Abstract</h2>
+ <blockquote>
+ <p>
+ OpenPrivacy.org is building an Internet platform to take us into
+ the next age - the age of personalized information. Basic to this
+ goal is a platform that will provide people with complete control
+ over their personal information and aid them in protecting their
+ privacy while simultaneously enabling more efficient data mining
+ and the access to specific market segments that advertisers crave.
+ </p>
+ <p>
+ OpenPrivacy creates a secure marketplace for anonymous demographic
+ and profile information, and a distributed, attack-resistant,
+ reputation-based rating system that can be used for everything
+ from item selection and ordering to search result
+ filtering. Further, this system is completely open, allowing
+ multiple communication mechanisms, languages and ontological
+ meanings to co-exist - we thrive in diversity.
+ </p>
+ <p>
+ To accomplish our goals, we introduce three new concepts:
+ Opinions, Reputations and Bias. These are all first class, signed
+ objects that are created at will under a multitude of pseudonymous
+ entities maintained by the user's client. A fourth concept, that
+ of a personal Profile, is created virtually from a collection of
+ the first three objects in such a way that only the owner of the
+ information can validate the connections between them, but others
+ may - if granted access, can mine for potentially profitable
+ correlations.
+ </p>
+ </blockquote>
+ <h2>Background</h2>
+ <blockquote>
+ <p>
+ The manner in which personal (profile) information is collected
+ and used today is grossly inefficient not to mention a massive
+ violation of privacy. It [current standard practice] developed
+ over the course of the last hundred years as capitalism matured
+ and corporations grew more powerful. New, precise mechanisms
+ could replace the current shotgun approach, but Industry is so far
+ along the path paved by their marketers that they can't see the
+ opportunity. (Remember that the marketers were originally
+ beholden to Industry, but now Industry is beholden to the
+ marketers.) Their fear, reinforced by the marketers, is that ,
+ </p>
+ <h3>What a Profile Is (and How Profile Data Is Used)</h3>
+ <p>
+ <font color="red">
+ <i>
+ how is profile data collected? what does it comprise of? how
+ is it used? what is its value?
+ </i>
+ </font>
+ </p>
+ <p>
+ For traditional marketing mechanisms to work, profile data must be
+ linkable to the people that it refers to. Such links may be one's
+ phone number, postal or electronic mail address, a persistent
+ cookie saved by a company's web site on one's computer, or other
+ devices.
+ </p>
+ <h3>Data Mining</h3>
+ <p>
+
+ </p>
+ <h3>Collaborative Filtering and Recommendation Systems</h3>
+ <p>
+ The data mining of anonymous data can have its uses, as in simple
+ collaborative filtering systems. These systems collect inputs
+ from many potentially anonymous people on a particular subject
+ (say, what their current favorite movie is) and then average the
+ results and come up with recommendations. This works with
+ reasonable accuracy in a well behaved populace - that is, within a
+ group that does not have shills and spoofers that may attempt to
+ throw the decision one way or the other by flooding the system
+ with bogus or weighted inputs.
+ </p>
+ <h3>Direct ("One-to-One") Marketing</h3>
+ <p>
+
+ </p>
+ <h3>Privacy Concerns</h3>
+ <p>
+ <font color="red">
+ <i>
+ being tracked and watched. junk mail. spam. profile data
+ being used, misused and sold without the principal's
+ permission.
+ </i>
+ </font>
+ </p>
+ <h3>Anonymity and Fear</h3>
+ <p>
+ The concept of anonymous profile data strikes fear into the hearts
+ of marketers, for while they could mine the data for concordances
+ of interest, their present understanding is that they would not be
+ able to contact the market segments so identified.
+ </p>
+ </blockquote>
+ <h2>The New Internet Economy</h2>
+ <blockquote>
+ <h3>Publishing with Pseudonymity</h3>
+ <p>
+ Pseudonymity
+ </p>
+ <h3>Reputations and Trust</h3>
+ <p>
+
+ </p>
+ <h3>The Value of Information [Quality]</h3>
+ <p>
+
+ </p>
+ <h3>An Agoric, Reputation-based Marketplace [Capitalism]</h3>
+ <p>
+
+ </p>
+ <h3>Efficiency Via Chaos and Bias</h3>
+ <p>
+ Chaos is an essential element for systems to evolve, for without
+ it the unexpected changes and mutations that lead to new, often
+ revolutionary processes will not have a chance to occur. The very
+ fact that people are all different - not only from each other but
+ even with one's self from moment to moment - has a valuable
+ ramification: that we all have different opinions and bias. This
+ points to a major failing of search engines: that each person who
+ enters the same search X probably has a slightly different mind
+ set of what they would like to see as results.
+ </p>
+ <p>
+ OpenPrivacy thrives in this multitude of opinion, this diversity
+ of thought, for though we are all different, there are certain
+ areas that two very different people may align with. For example,
+ suppose person A reads the New York Times every day and finds an
+ average of four articles that A considers tops - well worth the
+ cost of the paper and her time to find them. Now consider that
+ there probably exists a person B who finds the same four articles
+ to be indispensable. The safe, secure, pseudonymous publishing
+ environment of OpenPrivacy, along with the agoric marketplace of a
+ million infomediaries looking for valuable concordances, make it
+ possible for these two people to virtually meet. Further, A may
+ strike a deal with B to provide her with the editorial filtering
+ process, saving A time and aiding B at least in reputation if not
+ also financially.
+ </p>
+ </blockquote>
+ <h2>The OpenPrivacy Platform</h2>
+ <blockquote>
+ <h3>Opinion</h3>
+ <h3>Reputation</h3>
+ <h3>Bias</h3>
+ <h3>Profile</h3>
+ <h3>Security, Trust, Verifiability</h3>
+ <h3>Attack Resistance</h3>
+ <p>
+ <ul>
+ <li><b>Denial of service (DOS):</b>
+ </li>
+ <li><b>Spoofing:</b>
+ </li>
+ <li><b>Replay:</b>
+ </li>
+ <li><b>Flooding:</b>
+ </li>
+ <li><b>Shills/Slander/False claims:</b>
+ </li>
+ </ul>
+ </p>
+ </blockquote>
+ </body>
+ </html>
-</body>
-</html>
-
<!-- LocalWords: principal's
-->
+
+
+
This archive was generated by hypermail 2b30 : Fri Feb 09 2001 - 13:16:02 PST