User Manual
Contents
1. 1 43 85 71 65 71 100 0055 85 7176 0 00 1 43 1 43 100 0055 Reporting page will display a table on attribute values and exposure 2 Exposure Visibility Over Time Attribute Visibility Over Time 1 1 1 0 9 0 8 07 0 6 0 5 04 03 02 0 1 0 0 1 0 1 Attribute Exposure Target 85 71 85 71 85 71 0 00 85 71 85 71 0 00 0 00 69 71 Attribute Exposure Change 0 0 0 055 056 0 0 0 0 2 HM age 25 MM phone number 14424878544 W gender Male location Austin Mj education None political view Center left W birthday 09 19 1991 il interest Cats E work Unemployed Reporting page will display a line graph for how attribute exposure changes over time xiii Communication Flow 1 Incoming vs Outgoing Contacts Frank Bryant Maon friend i IT H n ne B incoming Samuel Arseneault Friend B Outgoing Bi Incoming Reporting page will also display the flow of communication between the person and other people It chart shows percentage of total communication between two people xiv Content Sentiment 1 Sentiment Break down Mohammad Anwar Friend B VveryNegative Bl Negative Neutral Bi Positive Bl VeryPositive 43 596 Odiljon Akhmedov fou B ver Negative Bi Negative B Neutral Bi Positive Bl VerPositive Reporting will display donut charts that displays how each friend s includ2. 4 Click Remove Friend User 1 Mohammad Anwar GET FRIENDS LIST On the first part of the Remove Friend page the user must select a user to retrieve their friends list 1 Select a root user as User 1 2 Click Get Friends List to retrieve root users friends list 3 Select a friend to remove as User 2 4 Click Remove Friend Select a friend of Mohammad Anwar to un friend User 2 Odiljon Akhmedov REMOVE FRIEND Once the selected users friends list is retrieved you are then able to select a friend to remove Once selected clicking REMOVE FRIEND will remove the friendship relation between the two users A confirmation message will be displayed upon successful removal of friends A warning will be displayed if a user is selected that has no friends to begin with 4 Create Delete Group a Create Group Create Group Delete Group Enter a name for the new group CREATE GROUP The Create Group page allows the user to enter a name of a group and then click CREATE GROUP to create a new group If a group with that name already exists the user will be notified and the group will not be created A confirmation message will be displayed upon successful group creation b Delete Group Create Group Delete Group Select a group to delete Group Urban Science Project DELETE GROUP On the Delete Group page the user is able to select a group and delete it by clicking the DELETE GROUP button
3. C Program Files Java jre 1 8 0 40 ok Cancel d Click New and enter the listed environment variable above e MAKE SURE THE VARIABLE VALUE LEADS TO YOUR jre1 8 x xx INSTALLATION f Click OK g Go back to the Tomcat folder on your C drive 5 Open C apache tomcat 8 0 21 webapps 6 Delete the ROOT folder 7T Paste the WaynePrivacy war in this webapps directory This is found in the bundled files under PrivacyWayneState target 8 Rename WaynePrivacy war to ROOT war 9 Go back to the parent directory apache tomcat 8 0 21 10 Open the bin directory 11 Open a command window in this folder Hold SHIFT and right click in open white space in folder click Open Command Window Here 12 Enter startup aC apache tomcat 8 8 2isbintstartup Using CATALINA_BASE C2 apache tomeat 6 21 Using CATALINA_HOME OO sapache tomcat 8 BH 271 Using CATALINA_ITIMPDIR G apache tomcat 8 H 21 temp Using JRE HOME C Program Files Javas jrel 4_44 Using CLASSPATH C2 sapache tomcat 8 BH 21 hin bootstrap jar G apache tomc at 8 BH 21 hin tomcat juli jar C2 apache tomcat R2 PR ER E Congratulations If done properly the web application will extracted started and made available by accessing http localhost 8080 in a web browser
4. O O O 2 2 2 O O O 3 3 3 O O O 4 4 4 ADD INTEREST On the Add Interest page the user is able to select a user type in an interest and set the privacy values for that interest b Remove Interest Add Interest Remove Interest 1 Select a root user as User 2 Click Get Interests List to retrieve root user s interest list 3 Select a interest to remove as Interest 4 Click Remove Interest User Jon Hopkins GET INTERESTS LIST Group Get Interests REMOVE INTEREST This page was not functionally implemented due to time and priority constraints T Change Privacy Levels 1 Select a user 2 Click Get Attribute List to retrieve attributes for that user tad Select new privacy values 4 Click Save Changes User 1 Odiljon Akhmedov GET ATTRIBUTE LIST On the Change Privacy Levels page the user must first select a user and click GET ATTRIBUTE LIST 1 Select a user 2 Click Get Attribute List to retrieve attributes for that user 3 Select new privacy values 4 Click Save Changes Select one of Odiljon Akhmedov s attributes to modify Attribute education 4 year degree P 3 V 3 S 1 Privacy Visibility Sensitivity 9 o o o O1 ak O1 O2 O2 Q2 O 3 Qs Os O4 Q4 O4 SAVE CHANGES DYNAMIC VISIBILITY Once the attribute list is retrieved the user can select the attribute they want to modify select the new privacy levels then click SAVE CHANGES Alternatively the user can s
5. how many friends the person has 5 Social Distance Social Distance WARN Alpeshkumar Patel has a high social distance SCORE 1 63 AVERAGE 1 11 THRESHOLD 1 26 WARN Summer Sandhu has a high social distance SCORE 1 44 AVERAGE 1 11 THRESHOLD 1 26 Analysis page will display warnings if any of the person s friend s Social Distance is lower than the threshold The threshold is calculated by the average minus the average divided by how many friends the person has IX Groups and Circles 1 Mutual Groups WARN Odiljon Akhmedov has a low number of mutual groups SCORE 1 AVERAGE 2 00 THRESHOLD 1 33 Mutual Groups presents the notification when a user s groups are compared with the groups of his or her friends If a Friend s mutual group score fall below a certain threshold the warning notification is displayed Threshold is calculated by the average minus the average divided by total 2 Highschool Friends Privacy Outliers WARN Joshua Davis is an outlier HS The Analysis runs through a user and tries to determine if the user is in Highschool If true the service then iterates through the user s friends and checks their education and location to determine if user and friends are friends through school If the friend is friends through school the analysis counts how many times that friend has sensitive attributes that he or she is leaving visible to the network If that number is greater that than count of the user
6. imported users will not be duplicated Warning Deleting the data set will DELETE THE DATA SET 1 Passcode B 2 users to import 10 3 E The Data Set Tools page is intended to be used by a super user From this page a sample network can be loaded consisting of predetermined and randomly generated data This is used for development and demonstrative purposes Other functions include clearing the database and running analysis on the entire network 1 In order to use any of the features on this page the passcode must be entered Because this site is open to the public and the IMPORT DELETE MEGAANALYSYS functions are VERY processing intensive their use must be limited The passcode is Erfan 2 The user may select between 1 and 43 users If the users already exist on the network they will not be added For example if you imported 5 users then imported 10 only 5 additional users would be added to the network 3 Clicking the IMPORT button will start the import processes 4 Clicking the DELETE button will start the delete processes that deletes all data in the database 5 Clicking the MEGAANALYSIS button will run a full analysis for every user on the network 6 This is the navigation bar for all the Social Network Tools page It will appear on each page under Social Network Tools 2 Create Delete User a Create User First Mame Last Name Age 21 Gender e Male Q Female Q Not Specified C
7. s the friend is an outlier and the user is notified 3 College Friends Privacy Outliers WARN Samuel Arseneault is an outlier College The Analysis runs through a user and tries to determine if the user is in College If true the service then iterates through the user s friends and checks their education and location to determine if user and friends are friends through college If the friend is friends through school the analysis counts how many times that friend has sensitive attributes that he or she is leaving visible to the network If that number is greater that than count of the user s the friend is an outlier and the user is notified 4 Attribute Prediction WARN Your age can be guessed with 81 82 accuracyfrom your affiliation with the group PC Master Race The Analysis goes through the groups of the user and selects a relevant group which has the highest composition of user s friends One of the quantifiable attributes for the user is age so for the sake of attribute prediction the service goes through the groups members and gets their age Dividing this total age with the group size gives the average age of the group The analysis compares the average age with the age of the user and computes the percentage similarity which becomes the accuracy at which someone could predict the user s age If this accuracy value is greater than 80 there user is notified X Content 1 Comment Sentiments WARN Your friend Odiljo
8. web privacy research tool The project itself consists of proprietary social network privacy analysis and reporting systems Web Service sowas aM 0 ED Ahianantivn On this Help page the user can find out an overview of the application There are terms that could provide help in understanding how the Social Network implements a Privacy framework It also covers the different types of analysis that are performed Visit the actual help page for additional information b Analysis Types viii Relationships 1 Relationship Strength Analysis Get privacy warnings for a specific user User Odiljon Akhmedov RUN ANALYSIS Privacy analysis for the user Odiljon Akhmedov Relationships Relationship Strength WARN Alpeshkumar Patel has a low relationship strength SCORE 0 82 AVERAGE 2 28 THRESHOLD 1 95 WARN Summer Sandhu has a low relationship strength SCORE 1 00 AVERAGE 2 28 THRESHOLD 1 95 WARN Alyssa Wilkins has a low relationship strength SCORE 1 01 AVERAGE 2 28 THRESHOLD 1 95 WARN Matthew Tunesi has a low relationship strength SCORE 1 05 AVERAGE 2 28 THRESHOLD 1 95 WARN Idlir Peshkepia has a low relationship strength SCORE 1 01 AVERAGE 2 28 THRESHOLD 1 95 Friend s Privacy Scores ERR LL LLALAM r Analysis page will display warnings if any of the person s friend s relationship strength is lower than the threshold The threshold is calculated by the average minus the aver
9. 5 Join Leave Group a Join Group What if Odiljon Akhmedov were to join the group Asian Society of Asians No issues here Select a user and a group to join Person Odiljon Akhmedov M Group Urban Science Project X JOIN GROUP WHAT IF ANALYSIS On the Join Group page the user is able to select a user and a group They are then able to click either JOIN GROUP or WHAT IF ANALYSIS What if Mohammad Anwar were to join the group Unreal Engine Game Development WARN Unreal Engine Game Development has a low number of friends that are members Friends in Group 0 0 Members of Group that are friends 0 00 THRESHOLD 0 25 select a user and a group to join Person Odiljon Akhmedov hi Group Urban Science Project z JOIN GROUP WHATJF ANALYSIS Clicking JOIN GROUP will add the user to the group if they are not already a member and clicking WHAT IF ANALYSIS will return privacy warnings if applicable b Leave Group 1 Select a root user as User 2 Click Get Groups List to retrieve root user s groups list 3 Select a group to remove as Group 4 Click Leave Group User Jon Hopkins GET GROUPS LIST Group Get Groups LEAVE GROUP This page is not completely implemented due to time restraints and priority shifts 6 Add Remove Interest a Add Interest Add Interest Remove Interest User Odiljon Akhmedov M Interest Privacy Visibility Sensitivity 0 0 0 O O O 1 1 1
10. PrivacyWayne User Manual Dishank Patel 1 INTRODUCTION TABLE OF CONTENTS b Website Accesses a About 2 WEBSITE a Pages l li lii IV V Vi Vil Home Social Network Tools 1 Data Set Tools 2 Create Delete User a Create User b Delete User 3 Add Remove Friends a Add Friend b Remove Friend 4 Create Delete Group a Create Group b Delete Group 5 Join Leave Group a Join Group b Leave Group 6 Add Remove Interest a Add Interest b Remove Interest 7 Change Privacy Levels 8 New Like Comment a New Comment b Like Comment 9 View User Profile Social Network Simulator 1 Login 2 View Profile Page a Own b Others c Reply View Network Analysis Reporting Help b Analysis Types Relationships 1 Relationship Strength 2 Friend s Privacy Scores 3 Interactions 4 Mutual Friends 5 Social Distance Groups and Circles 1 Mutual Groups 2 Highschool Friends Privacy Outliers 3 College Friends Privacy Outliers 4 Attribute Prediction Content 1 Comment Sentiments 2 Your Comment Content 3 Others Comment Content 4 Possible Content Concerns c Reporting Types l Privacy Score 1 Score Over Time 2 Score Composition ii Attribute Exposure Visibility 1 Chart Breakdown 2 Exposure Visibility Over Time iii Communication Flow 1 Incoming vs Outgoing Contacts IV Content Sentiment 1 Sentiment Break down V Relationships 1 Strength Break down Over Time 2 Streng
11. age divided by how many friends the person has 2 Friend s Privacy Scores Friend s Privacy Scores WARN Alpeshkumar Patel has a high Privacy Score SCORE 58 AVERAGE 45 00 THRESHOLD 51 43 WARN Matthew Tunesi has a high Privacy Score SCORE 58 AVERAGE 45 00 THRESHOLD 51 43 WARN Mohammad Anwar has a high Privacy Score SCORE 66 AVERAGE 45 00 THRESHOLD 51 43 Analysis page will display warnings if any of the person s friend s privacy score is lower than the threshold The threshold is calculated by the average minus the average divided by how many friends the person has 3 Interactions Interactions WARN Alpeshkumar Patel has a low number of interactions SCORE 0 00 AVERAGE 0 04 THRESHOLD 0 03 WARN Summer Sandhu has a low number of interactions SCORE 0 00 AVERAGE 0 04 THRESHOLD 0 03 WARN Alyssa Wilkins has a low number of interactions SCORE 0 00 AVERAGE 0 04 THRESHOLD 0 03 Analysis page will display warnings if any of the person s friend s interactions is lower than the threshold The threshold is calculated by the average minus the average divided by how many friends the person has 4 Mutual Friends Mutual Friends WARN Samuel Arseneault has a low number of mutual friends SCORE 0 AVERAGE 1 14 THRESHOLD 0 98 Analysis page will display warnings if any of the person s friend s mutual friends is lower than the threshold The threshold is calculated by the average minus the average divided by
12. elect an attribute and click DYNAMIC VISIBILITY This will set user s visibility based on sensitivity and privacy values 8 New Like Comment a New Comment SUCCESS Added Comment User Odiljon Akhmedov Comment Hello world ADD COMMENT j A AA M On the New Comment page you can select a user enter a comment and click ADD COMMENT The site does not allow for duplicate original comments A confirmation message will be displayed if successful b Like Comment SUCCESS Odiljon Akhmedov likes the selected comment User Odiljon Akhmedov 7 Comment Mohammad Anwar am mad Someone stole my car LIKE COMMENT On the Like Comment page select User from list and select a Comment from the list Once the Like Comment button is clicked the user should be notified with a success message View User Profile User Odiljon Akhmedov VIEW PROFILE Mohammad Anwar Attributes Work Unemployed Interest Art Interest Soccer Interest Sports Location Detroit Interest Music Education Ged Interest Politics Phone number 12497589584 Birthday 02 14 1994 Interest Dance Gender Male Political view Right Comments Hey was just thinking deeply about you Do you want to talk about the significance of Austin and what it means to you as an individual in society just wanted to publicly say that my interest is Soccer W
13. h the selected comment and an empty text box to post the reply iv View Network View Network MATCH n RETURN n LIMIT 25 gt MD CD cD rm Cm enm 59 FRIENDS J HAsiz2 ELLEN attrbutes 22 J comments J friends iest tempCommentCollection2 EB View Network page is accessed by providing Username Neo4j and Pass pass This page then provides access to the graph database v Analysis Analysis Get privacy warnings for a specific user User Odiljon Akhmedov RUN ANALYSIS Privacy analysis for the user Mohammad Anwar The Analysis page is the most valuable amp detailed page of the application Select a user and click Run Analysis to see all of the Notifications the analysis generates Analysis on Relationships include Relationship strength friend s privacy scores interactions mutual friends and social distance Analysis on Groups and Circles include Mutual groups highschool friends privacy outliers college friends privacy outliers and attribute prediction Analysis on Content include Comment sentiments your comment content other comment content and possible content concerns vi Reporting Reporting Get a full privacy report for a specific user User Odiljon Akhmedov i GET REPORT This report shows all attributes comments friends groups and liked comments that are connected to the specified User vii Help Help About What is PrivacyWayne PrivacyWayne is a cutting edge
14. ick the SUBMIT button to add the user to the network A confirmation message will be displayed on the top of the page when it is refreshed You will be notified if all fields are not completely filled out There cannot be two users on the network with the same name If this is the case an error message will be displayed informing the user that the new user was not created b Delete User Create User Delete User User Mohammad Anwar DELETE USER On the Delete User page the user is able to select a user from the drop down list and click DELETE USER This deletes the user 3 Add Remove Friends a Add Friend Add Friend Remove Friend FAIL Odiljon Akhmedov and Samuel Arseneault are already friends elect two users to become friends User 1 Odiljon Akhmedov User 2 Odiljon Akhmedov M ADD FRIEND WHAT IF ANALYSIS On the Add Fiend page the user is given the option to select two users and join them as friends The user is also able select the WHAT IF ANALYSIS button and get select privacy warnings as to what would be the case if they were to become friends If the two selected users are the same person neither functions will work and the user will be notified If the two selected users are already friends neither function will work the user will be notified b Remove Friend 1 Select a root user as User 1 2 Click Get Friends List to retrieve root user s friends list 3 Select a friend to remove as User 2
15. ing user percentage of sentiment pertaining to their comments XV Relationships 1 Strength Break down Over Time 0 1 2 3 lll Mutual Friends Ill Common Groups Interactions lli Social Distance ll Relationship Strength Reporting page will display a line graph on how relationship strength metrics change over time 2 Strength Composition How your relationship strength is calculated with Mohammad Anwar 16 996 71 8 Bi Mutual Friends E Common Groups Interactions Bill Social Distance Reporting page will display a pie graph on how much relationship strength metrics affect the relationship strength 1 2 3 4 5 6 T 8 9 10 DEPLOYMENT a Dependencies This Java web application could most likely be ran using any linux OS X or windows based system but please use the following recommend configuration Windows 7 64 bit 3 0Ghz Dual Core 4GB DDR3 Apache Tomcat 8 https tomcat apache org download 80 cqgi Neo4j Community Edition http neo4j com If you wish to edit the source and run the server from an IDE https www jetbrains com PRO or Student version required Java SE Development Tool Kit 8 http www oracle com technetwork java javase downloads jdk8 downloads 2133151 html Source Code https github com soutenniza PrivacyWayneState git currently private For running the source code you must still complete part b Neo4j Otherwise if running without an IDE do both
16. ion Austin ATTRIBUTE EXPOSURE 100 00 Phone number 14424878544 ATTRIBUTE EXPOSURE 100 00 Work Unemployed ATTRIBUTE EXPOSURE 0 00 Friends Mohammad Anwar RELATIONSHIP STRENGTH 2 23 Samuel Arseneault RELATIONSHIP STRENGTH 2 67 Groups Urban Science Project Craft Beer Lover s Group Potluck Fridays Society Comments Odiljon Akhmedov am mad Someone stole my car LIKE REPLY V2 Odiljon Akhmedov cry all the time LIKE REPLY Y Odiljon Akhmedov You are beautiful LIKE A REPLY 3 Make a new post ADD COMMENT The Social Network Simulator page is interactable from clicking the friend s to see their profile Additionally you can click like to like a comment or reply if you want to submit a reply to that comment This page displays multiple useful data about the person You can see the person s Privacy Score Attribute Exposure Relationship Strength between their friends and how many likes each comment has received b Others Logged in as Odiljon Akhmedov MY PROFILE Samuel Arseneault Privacy Score 45 00 Attributes Wark Accountancy banking and finance ATTRIBUTE EXPOSURE 33 33 Location Detroit ATTRIBUTE EXPOSURE 100 005 Political view Far right ATTRIBUTE EXPOSURE 100 00 Interest Books ATTRIBUTE EXPOSURE 33 33 Interest Politics ATTRIBUTE EXPOSURE 33 33 Education Associates ATTRIBUTE EXPOSURE 33 33 Interest Art ATTRIBUTE EXPOSURE 33 33 Phone
17. ivacywayneneo4j zapto org Credential for Neo4j login user neo4j pass pass DISCLAIMER These services have no guarantee of any kind and service altogether can be suspended at any time For faster processing and a better overall experience see section 4 DEPLOYMENT for instruction on local use WEBSITE a Pages i Home PrivacyWayne Home Social Network Tools Social Network Simulator View Network Analysis Reporting Help 4 Welcome to PrivacyWayne 1 2 3 Click the ADMIN button for a more Click the USER button for a more user Click the HELP button if you have no idea what is high level experience perspective experience going on or what any of this means The Home page is the first page the user will see when visiting the website It provides basic direction to familiar and unfamiliar users 1 Clicking the ADMIN button will redirect you to the Social Network Tools Create User page 2 Clicking the USER button will redirect you to the Social Network Simulator User Login page 3 Clicking the HELP button will redirect you to the Help page 4 This navigations bar can be used from anywhere on the site to quickly navigate between pages ii Social Network Tools 1 Data Set Tools Social Network Tools Data Create Delete Add Remove Create Delete Join Leave Add Remove Change New Like View User Friend Group Group Interest Privacy Comment User Levels Profile select the number of users to import Existing
18. n Akhmedov generally makes negitive comments posts SCORE 42 The comment sentiment analysis will evaluate your friends comments and determine their cmulative overall sentiment If the analysis service determines that the person makes generally negative comments the user will be notified and a relative score will be included 2 Your Comment Content WARN You gave the interest music a low visibility score but you talk about it in the comment I just wanted to publicly say that my interest is Music Visibility Value 0 The content analysis also check to make sure that you have not mentioned any attribute information that you have set as either low visibility high sensitivity or high privacy 3 Others Comment Content WARN Odiljon Akhmedov s reply to one of your comments your birthday is soon indirectly mentions the attribute birthday that you set as invisible to others The content analysis will also check to make sure that others do not unintentionally bring up your attribute information set as either low visibility high sensitivity or high privacy when talking to you 4 Possible Content Concerns WARN Your own comment I am mature this week seems to be referring to your attribute age that you have set invisible to others Flagged words mature i Confidence 50 0 WARN The reply made by Odiljon Akhmedov to one of your posts I know you like teaching seems to be referring to your at
19. number 12494578563 ATTRIBUTE EXPOSURE 100 00 Age 23 ATTRIBUTE EXPOSURE 33 33 Interest Movies ATTRIBUTE EXPOSURE 33 33 Gender Male ATTRIBUTE EXPOSURE 100 005 Birthday 04 19 1993 ATTRIBUTE EXPOSURE 100 00 Odiljon Akhmedov RELATIONSHIP STRENGTH 1 67 Groups PC Master Race NPR Fan Club Math Learning Ipad App Comments Samuel Arseneault just wanted to publicly say that my birthday is 04 19 1993 LIKE Samuel Arseneault Who cares tr LIKE Samuel Arseneault am mad and full of rage r LIKE Odiljon Akhmedov LOL r LIKE Mohammad Anwar Hey was just thinking deeply about you Do you want to talk about the significance of Austin and what it means to you as an individual in society Xr LIKE Samuel Arseneault This made me cry Xr LIKE REPLY REPLY REPLY REPLY REPLY REPLY Social Network Simulator allows user to log in as a specified user It shows the privacy score and a list of all user Attributes followed by their Attribute Exposure percentages There is a list of Friends along with their relationship strength and also list of groups The comment section shows comments by users and allows logged in user to like reply or favorite listed comment or add new comment C Reply Logged in as Odiljon Akhmedov MY PROFILE Reply to Samuel Arseneault s post Reply to post care REPLY If the logged in user clicks reply on a comment the page above is loaded wit
20. ow did you hear of that murder just wanted to publicly say that my interest is Politics This made me laugh Everyone smells bad Friends Odiljon Akhmedov Groups Chocolate Anonymonous Asian Society of Asians GM Big Data Liked comments Samuel Arseneault am mad and full of rage Odiljon Akhmedov LOL The View User Profile page allows a basic non interfaceable view of any selected users profile iii Social Network Simulator 1 Login PrivacyWayne Home Social Network Tools Social Network Simulator View Network Analysis Reporting Help Select a user to login as User Odiljon Akhmedov bi LOGIN CREATE USER When clicking Social Network Simulator on the main navigation bar the user will be directed into the mock login page for the Social Network Simulator Select a user and click LOGIN Clicking CREATE USER will redirect you to the Create User page under Social Network Tools 2 View Profile Page a Own Logged in as Odiljon Akhmedov MY PROFILE LOG OUT Odiljon Akhmedov Privacy Score 32 00 When viewing one s own page the normal layout will be displayed for all information The current user is listed at the top Attributes Political view Center left ATTRIBUTE EXPOSURE 0 00 Interest Cats ATTRIBUTE EXPOSURE 0 00 Gender Male ATTRIBUTE EXPOSURE 100 00 Age 25 ATTRIBUTE EXPOSURE 0 00 Education None ATTRIBUTE EXPOSURE 100 00 Birthday 09 19 1991 ATTRIBUTE EXPOSURE 100 00 Locat
21. part b and c b Neo4j Download Neo4j Community Edition http neo4j com download Install the software on your computer Start Neo4j Community Edition The default Database location is OK as is but you can change it if you would like Click Start After the Database starts up you can now connect to the DB service Database location C Users Zachary Documents Neo4y default qraphdb Browse Status For first time use you must configure the username and password Enter the default username neo4j and default password IMPORTANT When prompted set the username to neo4j and the password to pass These are the credentials that the web application will be expecting when connecting to your Database Keep the Neo4j Community program running You are now ready to start the web application via Tomcat or using an IDE c Tomcat 8 1 If you do not have Java SE Development Tool Kit 8 http www oracle com technetwork java javase downloads jdk8 downloads 21 3315 1 html download it and install it 2 Download and install Apache Tomcat 8 https tomcat apache org download 80 cgi For convienence you can download the 64 bit Windows Zip 3 Extract the apache tomcat 8 0 21 folder to your root drive Most Likely C 4 Set the following environment variables by a Type env in Start gt Search Box b Select Edit Environment Variables for your Account Edit User Variable Variable name JRE HOME Variable value
22. reate User Privacy 0 Q1 Q2 Qs Q 4 Privacy 0 Q1 Q2 Qs Q 4 Visibility o Q1 Q2 Qa Q 4 Visibility 0 Q1 Q2 Qa Q 4 Delete User Sensitivity 0 Q1 Q2 Qs Q 4 Sensitivity 0 Q1 Q2 Qs Q 4 On the Create User page the user is given the option to create a new user on the network All fields are required While filling out the information fields the user is also required to select a Privacy Visibility and Sensitivity score for each value For a clear explanation of what each value represents visit the Help page or section of this manual Privacy Visibility Sensitivity o o o O1 O1 O1 Location O2 O2 O2 Qs Qs Os O4 O4 O4 Privacy Visibility Sensitivity o e o o Political Extreme Right O1 O1 O1 View Q P O 7 O Qs Qs Os O4 O4 O4 Privacy Visibility Sensitivity o o o Work Unemployed SE SE O O2 O2 Q2 Os Qs Qs O4 O4 O 4 Privacy Visibility Sensitivity o o Education None O O O O2 O2 OQ Qs Qs Qs Q4 O4 O4 Privacy Visibility Sensitivity 0 o o ak O1 O1 OQ OQ OQ Qs Os Qs O4 O4 O4 Birthday mm dd yyyy Privacy Visibility Sensitivity o 9 o o O 1 O 1 O 1 O2 O2 O2 Os Os Os O 4 O4 O4 Phone All fields must be completed Do not use factual of sensitive information Privacy Visibility Sensitivity o o o O1 O1 O1 O2 O2 O2 Os Os Os O4 O4 O4 SUBMIT Interest When completed cl
23. th Composition 3 DEPLOYMENT a Dependencies b Neod4j c Tomcat 8 INTRODUCTION a About PrivacyWayne is a mock social network with integrated privacy features The general goal of the project was to implement a privacy analysis service that could be applied to a social network PrivacyWayne consists of both a completely original and proprietary social network framework and a privacy analysis service There are many types of social networks but this one is a mix of some of the most popular in today s culture PrivacyWayne gives the user the ability to create a profile and interact with other users on a basic level They are given the ability to set privacy values to all of their profile attributes They can make posts similar to Twitter that can be viewed by everyone on the network Users are able to freely like and reply to others comments as well Using all of the user information on the network and the relations and content shared between users the analysis service is able to make privacy based decisions and collect historical data Due to the open nature of this service there are no actual ways to hide private data on a user profile Do not put factual and or sensitive data on this website b Website Access The website can be accessed using the following addresses https wayne ddns me https privacywayne zapto org The Neo4j server that is used by the website can be directly accessed using the following address http pr
24. tribute education that you have set invisible to others Flagged words teaching you Confidence 50 0 The content analysis service will try to predict if invisible attributes were being eluded to you by yourself or others directing their comments to you C Reporting Types xi Privacy Score 1 Score Over Time Privacy report for the user Odiljon Akhmedov Privacy score 27 25 Wi Privacy Score Reporting page will display a line graph of how the person s privacy score has changed over time 2 Score Composition How Privacy Score is calculated for Odiljon Akhmedov 29 6 29 6 W education Visibility 2 Sensivitity 4 B work Visibility 0 Sensivitity 3 Bi gender Visibility O Sensivitity 1 Bl age Visibility 1 Sensivitity 2 E phone number Visibility 2 Sensivitity 0 Bl interest Visibility 4 Sensivitity 2 I9 political view Visibility 2 Sensivitity 4 Bi location Visibility 1 Sensivitity 1 Bi birthday Visibility O Sensivitity 3 Reporting page will display a pie graph on how the privacy score is calculated for the person Attribute location Austin interest Cats phone number 14424878544 gender Male education 4 year degree xii political view Center left work Unemployed age 25 birthday 09 19 1991 Attribute Exposure Visibility Privacy Value 1 Chart Breakdown Visibility Value Sensitivity Value Attribute Exposure Actual
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