From: cvs@openprivacy.orgCVS update: openprivacy/htdocs/notes
Date: Monday February 12, 19101 @ 20:02
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:
added philosophy
*****************************************************************
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=1.7
CVSWeb: View this file: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes/whitepaper.shtml?rev=1.7&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=1.7&r2=1.6
-----------------------------------
Index: openprivacy/htdocs/notes/whitepaper.shtml
diff -u openprivacy/htdocs/notes/whitepaper.shtml:1.6 openprivacy/htdocs/notes/whitepaper.shtml:1.7
--- openprivacy/htdocs/notes/whitepaper.shtml:1.6 Fri Feb 9 13:16:01 2001
+++ openprivacy/htdocs/notes/whitepaper.shtml Mon Feb 12 20:02:47 2001
@@ -1,193 +1,201 @@
<!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">
+<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 1.7 2001/02/13 04:02:47 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>
+ <h3>Philosophy</h3>
+ <p>
+ Though we provide a system that securely protects one's
+ <i>privacy</i>, we are focused on <i>openness</i>. In order to be
+ able to freely search for and collect, read, write, publish and
+ distribute information in a highly networked society without fear of
+ reprisal, there must be a mechanism that can dissociate a user from
+ her actions. It is our intention and firm belief that pseudonymous
+ entities combined with our concepts of reputation and ins intrinsic
+ value will form the cornerstone for a powerful and unlimited
+ communications mechanism that will allow us all to make better
+ informed - and more profitable in every sense of the word -
+ decisions.
+ </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>
+ 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>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>
- <!-- $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>
-
-
<!-- LocalWords: principal's
-->
-
-
-
This archive was generated by hypermail 2b30 : Mon Feb 12 2001 - 20:02:49 PST