Canvas Developer Guide

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Canvas Developer Guide Version 53.0, Winter ’22 @salesforcedocs Last updated: August 5, 2021 © Copyright 2000–2021 salesforce.com, inc. All rights reserved. Salesforce is a registered trademark of salesforce.com, inc., as are other names and marks. Other marks appearing herein may be trademarks of their respective owners. CONTENTS GETTING STARTED . 1 Chapter 1: Introducing Canvas . 1 Canvas Scenarios . 3 Where Canvas Apps Appear . 3 Supported Browsers . 4 Supported Salesforce Editions . 4 User Permissions Required . 5 User Interface Considerations . 5 Canvas App Process . 6 Canvas Personal Apps . 8 Canvas Personal App Process . 8 Enabling Canvas Personal Apps within an Organization . 9 Making an App a Canvas Personal App . 10 Uninstalling a Canvas Personal App . 10 Chapter 2: Quick Start . 12 Prerequisites . 13 Create the App . 13 Set the App Location . 14 Chapter 3: Quick Start—Advanced . 16 Prerequisites . 17 Clone the Project from GitHub . 17 Run the Web App Locally . 18 Create the Canvas App . 19 Configure Who Can Access the Canvas App . 21 Deploy the Web App to Heroku . 22 Update the Canvas App . 23 Package the Canvas App . 24 Upload the Canvas App Package . 25 Install the Canvas App . 25 Configure Who Can Access the Installed Canvas App . 26 USING CANVAS . 27 Chapter 4: Canvas SDK . 27 Referencing the Canvas SDK . 28 Authentication . 28 Signed Request Authentication . 28 Contents OAuth Authorization . 36 SAML Single Sign-On for Canvas Apps . 40 Getting Context in Your Canvas App . 40 Cross-Domain XHR . 41 Getting a List of Chatter Users . 41 Posting to a Chatter Feed . 42 Alternatives to Cookies for User Tracking . 42 Resizing a Canvas App . 43 Automatically Resizing a Canvas App . 44 Explicitly Resizing a Canvas App . 45 Getting the Size of a Canvas App . 45 Subscribing to Parent Events . 46 Handling Orientation Changes in Your Canvas App . 46 Implementing Canvas App Events . 47 Canvas App Events Considerations . 47 Creating a Canvas App Event . 48 Subscribing to a Canvas App Event . 49 Unsubscribing from a Canvas App Event . 50 Using Streaming API in a Canvas App . 50 Using the Streaming API Event . 51 Subscribing to a Streaming API Event . 51 Unsubscribing from a Streaming API Event . 52 Debugging in a Canvas App . 52 Using the <select> Tag in a Canvas App . 52 Chapter 5: Canvas Apps and Visualforce Pages . 53 Visualforce Page Code Examples . 54 Visualforce Considerations . 55 apex:canvasApp Component . 55 Returning Fields in the Record Object . 58 Using Events between a Visualforce Page and a Canvas App . 59 Publishing a Canvas Event from a Visualforce Page . 60 Resizing a Canvas App in a Visualforce Page . 61 Subscribing to Events . 61 Unsubscribing from Events in a Visualforce Page . 62 Chapter 6: Lightning Component Code Examples . 63 Chapter 7: Canvas Apps in a Page Layout or a Mobile Card . 65 Where Canvas Apps Appear in a Page Layout . 66 Add a Canvas App to a Page Layout . 66 Chapter 8: Canvas Apps in the Publisher . 68 Set Canvas App Location and Create the Action . 69 Create the Action Manually . ..

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Rishi.Narang (At) Thirdbrigade.Com +91 988.6982.678
END USER PRIVACY BREACHES Rishi Narang Vulnerability Research Analyst Third Brigade Security Labs rishi.narang (at) thirdbrigade.com +91 988.6982.678 OWASP 06th September, 2007 Copyright © The OWASP Foundation Permission is granted to copy, distribute and/or modify this document under the terms of the OWASP License. The OWASP Foundation http://www.owasp.org HAWK‟S EYE Web Application Security - 10 Steps to Secure - IE vs. Firefox Competition Common User Behaviors - Warnings & Error Messages - SURVEY: What End Users Say About Warnings Security Products vs. Attacks - Current Security Architecture - Security Myths Ideal World vs. Real World - Security Awareness (Geographically) - Plans & Actions + Prime Focus Privacy Approach - Data Gathering - Privacy Policies & Drives OWASP 2 WEB APPLICATION SECURITY … lot many web apps, but are they secured ?? Can they live together ?? OWASP 3 10 STEPS TO SECURE WEB 2.0 brings Threat 2.0 STEP 01. Policy: Fair policy @ every Gateway STEP 02. Tuning the Policy: Tuning as per custom applications STEP 03. Dealing with Malwares: HOST level protection against Malwares STEP 04. Block Undesirable URLs: Block Black-Listed and undesirables STEP 05. File Format Scans: Protection against malicious file downloads STEP 06. Upload Scans: Upload scan log for malicious activities STEP 07. IM traffic scans: IM traffic scan for file sharing and scripts STEP 08. Web Activity Monitoring: Passive monitoring for Anomalies STEP 09. Policy Enforcements: User Education and simplified process STEP 10. Emerging Web Activities: Keep an Eye on it ! OWASP 4 BROWSER VULNERABILITIES Source: Internet Security Threat Report Volume XI, Symantec Corporation IE & FIREFOX reported high number of vulnerabilities as compared to other browsers.
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Bibliography of Erik Wilde
dretbiblio dretbiblio Erik Wilde's Bibliography References [1] AFIPS Fall Joint Computer Conference, San Francisco, California, December 1968. [2] Seventeenth IEEE Conference on Computer Communication Networks, Washington, D.C., 1978. [3] ACM SIGACT-SIGMOD Symposium on Principles of Database Systems, Los Angeles, Cal- ifornia, March 1982. ACM Press. [4] First Conference on Computer-Supported Cooperative Work, 1986. [5] 1987 ACM Conference on Hypertext, Chapel Hill, North Carolina, November 1987. ACM Press. [6] 18th IEEE International Symposium on Fault-Tolerant Computing, Tokyo, Japan, 1988. IEEE Computer Society Press. [7] Conference on Computer-Supported Cooperative Work, Portland, Oregon, 1988. ACM Press. [8] Conference on Oﬃce Information Systems, Palo Alto, California, March 1988. [9] 1989 ACM Conference on Hypertext, Pittsburgh, Pennsylvania, November 1989. ACM Press. [10] UNIX | The Legend Evolves. Summer 1990 UKUUG Conference, Buntingford, UK, 1990. UKUUG. [11] Fourth ACM Symposium on User Interface Software and Technology, Hilton Head, South Carolina, November 1991. [12] GLOBECOM'91 Conference, Phoenix, Arizona, 1991. IEEE Computer Society Press. [13] IEEE INFOCOM '91 Conference on Computer Communications, Bal Harbour, Florida, 1991. IEEE Computer Society Press. [14] IEEE International Conference on Communications, Denver, Colorado, June 1991. [15] International Workshop on CSCW, Berlin, Germany, April 1991. [16] Third ACM Conference on Hypertext, San Antonio, Texas, December 1991. ACM Press. [17] 11th Symposium on Reliable Distributed Systems, Houston, Texas, 1992. IEEE Computer Society Press. [18] 3rd Joint European Networking Conference, Innsbruck, Austria, May 1992. [19] Fourth ACM Conference on Hypertext, Milano, Italy, November 1992. ACM Press. [20] GLOBECOM'92 Conference, Orlando, Florida, December 1992. IEEE Computer Society Press. http://github.com/dret/biblio (August 29, 2018) 1 dretbiblio [21] IEEE INFOCOM '92 Conference on Computer Communications, Florence, Italy, 1992.
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Internet Explorer 9 Features
m National Institute of Information Technologies NIIT White Paper On “What is New in Internet Explorer 9” Submitted by: Md. Yusuf Hasan Student ID: S093022200027 Year: 1st Quarter: 2nd Program: M.M.S Date - 08 June 2010 Dhaka - Bangladesh Internet Explorer History Abstract: In the early 90s—the dawn of history as far as the World Wide Web is concerned—relatively few users were communicating across this Internet Explorer 9 (abbreviated as IE9) is the upcoming global network. They used an assortment of shareware and other version of the Internet Explorer web browser from software for Microsoft Windows operating system. In 1995, Microsoft Microsoft. It is currently in development, but developer hosted an Internet Strategy Day and announced its commitment to adding Internet capabilities to all its products. In fulfillment of that previews have been released. announcement, Microsoft Internet Explorer arrived as both a graphical Web browser and the name for a set of technologies. IE9 will have complete or nearly complete support for all 1995: Internet Explorer 1.0: In July 1995, Microsoft released the CSS 3 selectors, border-radius CSS 3 property, faster Windows 95 operating system, which included built-in support for JavaScript and embedded ICC v2 or v4 color profiles dial-up networking and TCP/IP (Transmission Control support via Windows Color System. IE9 will feature Protocol/Internet Protocol), key technologies for connecting to the hardware accelerated graphics rendering using Direct2D, Internet. In response to the growing public interest in the Internet, Microsoft created an add-on to the operating system called Internet hardware accelerated text rendering using Direct Write, Explorer 1.0.
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Privacy Knowledge Modelling for Internet of Things
Privacy Knowledge Modelling for Internet of Things: A Look Back Charith Perera (Open University), Chang Liu (CSIRO), Rajiv Ranjan (Newcastle University), Lizhe Wang (China University of Geosciences), Albert Y. Zomaya (University of Sydney) Abstract Internet of Things (IoT) and cloud computing together give us the ability to sense, collect, process, and analyse data so we can use them to better understand behaviours, habits, preferences and life patterns of users and lead them to consume resources more efficiently. In such knowledge discovery activities, privacy becomes a significant challenge due to the extremely personal nature of the knowledge that can be derived from the data and the potential risks involved. Therefore, understanding the privacy expectations and preferences of stakeholders is an important task in the IoT domain. In this paper, we review how privacy knowledge has been modelled and used in the past in different domains. Our goal is not only to analyse, compare and consolidate past research work but also to appreciate their findings and discuss their applicability towards the IoT. Finally, we discuss major research challenges and opportunities. Keywords: Internet of Things, Privacy Preferences, Knowledge Modelling Introduction The Internet of Things allows people and things to be connected anytime, anyplace, with anything and anyone, ideally using any path, any network and any service [1]. Over the last few years, a large number of Internet of Things (IoT) solutions have come to the IoT marketplace [2]. These IoT solutions together collect a large amount of data that can be used to derive useful but extremely personal knowledge about users [3]. On the other hand, cloud computing provides ubiquitous, convenient, on- demand access to a shared pool of configurable computing resources.
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Recommendations for Businesses and Policymakers Ftc Report March 2012
RECOMMENDATIONS FOR BUSINESSES AND POLICYMAKERS FTC REPORT FEDERAL TRADE COMMISSION | MARCH 2012 RECOMMENDATIONS FOR BUSINESSES AND POLICYMAKERS FTC REPORT MARCH 2012 CONTENTS Executive Summary . i Final FTC Privacy Framework and Implementation Recommendations . vii I . Introduction . 1 II . Background . 2 A. FTC Roundtables and Preliminary Staff Report .......................................2 B. Department of Commerce Privacy Initiatives .........................................3 C. Legislative Proposals and Efforts by Stakeholders ......................................4 1. Do Not Track ..............................................................4 2. Other Privacy Initiatives ......................................................5 III . Main Themes From Commenters . 7 A. Articulation of Privacy Harms ....................................................7 B. Global Interoperability ..........................................................9 C. Legislation to Augment Self-Regulatory Efforts ......................................11 IV . Privacy Framework . 15 A. Scope ......................................................................15 1. Companies Should Comply with the Framework Unless They Handle Only Limited Amounts of Non-Sensitive Data that is Not Shared with Third Parties. .................15 2. The Framework Sets Forth Best Practices and Can Work in Tandem with Existing Privacy and Security Statutes. .................................................16 3. The Framework Applies to Offline As Well As Online Data. .........................17
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Florian Schaub Riva Cur P Ity Le L B a a B S O U R a B T a March 17, 2015 O L
17 – Usability of privacy policies and CyLab the dimensions of privacy notice Engineering & Public Policy Lorrie Cranor, Blase Ur, and Rich Shay cy & Se w/ special guest Florian Schaub riva cur P ity le L b a a b s o U r a b t a March 17, 2015 o L r y y C H 05-436 / 05-836 / 08-534 / 08-734 ! T U T D P .E Usable Privacy and Security" :// U CUPS.CS.CM 1 Notice and choice Protect privacy by giving people control over their information Choices about allowing their Notice about data data to be collected and used collection and use in that way 2 Nobody wants to read privacy policies “the notice-and-choice model, as implemented, has led to long, incomprehensible privacy policies that consumers typically do not read, let alone understand” # "Protecting Consumer Privacy in an Era of Rapid Change. Preliminary FTC Staff Report. December 2010. 3 Towards a privacy “nutrition label” • Standardized format – People learn where to find answers – Facilitates policy comparisons • Standardized language – People learn terminology • Brief – People find info quickly • Linked to extended view – Get more details if needed 4 Iterative design process • Series of studies – Focus groups – Lab studies – Online studies • Metrics – Reading-comprehension (accuracy) – Time to find information – Ease of policy comparison – Subjective opinions, ease, fun, trust P.G. Kelley, J. Bresee, L.F. Cranor, and R.W. Reeder. A “Nutrition Label” for Privacy. SOUPS 2009. P.G. Kelley, L.J. Cesca, J. Bresee, and L.F. Cranor. Standardizing Privacy Notices: An Online Study of the Nutrition Label Approach.
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Alessandro Acquisti - Curriculum Vitae Heinz College, Carnegie Mellon University Acquisti @ Andrew.Cmu.Edu |
Alessandro Acquisti - Curriculum Vitae Heinz College, Carnegie Mellon University acquisti @ andrew.cmu.edu | www.heinz.cmu.edu/~acquisti Trustees Professor of Information Technology and Public Policy Director, Privacy Economics Experiments Lab (PeeX) Faculty Chair, Master of Science in Information Security Policy & Management Steering Committee, CMU Center for Behavioral Decision Research (CBDR) Positions Trustees Professor of Information Technology and Public Policy, 2020 - present Heinz College, Carnegie Mellon University Faculty Director, CMU Digital Transformation and Innovation Center Sponsored by PwC, 2017 - 2020 Carnegie Mellon University PwC William W. Cooper Professor of Risk and Regulatory Innovation, 2017 - 2020 Heinz College, Carnegie Mellon University Professor of Information Technology and Public Policy, 2014 - 2020 Heinz College, Carnegie Mellon University Tenured Associate Professor of Information Technology and Public Policy, 2012 - 2014 Heinz College, Carnegie Mellon University Associate Professor of Information Technology and Public Policy, 2009 - 2012 Heinz College, Carnegie Mellon University Assistant Professor of Information Technology and Public Policy, 2003 - 2009 Heinz College, Carnegie Mellon University Visiting Scientist, Spring 2012 Google, Mountain View Visiting Fellow, Spring 2012 Becker/Friedman Institute for Research in Economics, University of Chicago Visiting Scholar, Fall 2011 Institute for Quantitative Social Science, Harvard University Visiting Researcher, Fall 2011 Microsoft Research, New England Visiting
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Privacy Negotiations with P3P Sören Preibusch German Institute for Economic Research (DIW) Königin-Luise-Str
Privacy Negotiations with P3P Sören Preibusch German Institute for Economic Research (DIW) Königin-Luise-Str. 5, 14195 Berlin, Germany [email protected] ABSTRACT preferences. A privacy-focused “meta-personalization” does This paper examines how negotiation techniques can not take place.1 resolve the trade-off between service providers’ persona- lization efforts and users’ individual privacy concerns and Posting “privacy policies” on websites is a rigid approach demonstrates how they can be integrated into existing and hampers users providing an informed consent as the technologies to overcome the shortcomings of static privacy compensation for data disclosure is not apparent. The policies. The analysis includes the identification of relevant empirical proof of users’ stated privacy preferences and negotiable privacy dimensions. An extension to P3P is diverging from their actual behaviour is a symptom of this proposed that allows a simple expression and implemen- burden [14]. tation of negotiation processes. Support for this extension Our contribution is to depict how negotiation techniques has been developed for the Mozilla Web browser. can overcome current drawbacks of static privacy policies, and reconcile privacy and personalization. We investigate INTRODUCTION how negotiations can be implemented using existing The Web’s complexity both in size and diversity has led technologies, namely P3P. online retailers to offer their customers individually targeted products and services. Personalization efforts have been The implementation of PRINT by extending W3C’s implemented in the vast majority of popular sites. Their Platform for Privacy Preferences (P3P) is soundly explained inherent need for personal information and the long-time and detailed information is provided how language support storage of these data drew attention to the induced privacy for PRINT can be integrated in P3P in a straightforward issues.
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Web Tracking and Current Countermeasures
Bachelor thesis Computer Science Radboud University Web Tracking And Current Countermeasures Author: Supervisor/assessor: Willem Boumans Dr. Ir. Erik Poll S4337166 [email protected] April 5, 2017 Abstract Tracking users on the web is widespread nowadays. All kinds of techniques are employed to follow users on the internet. Not just cookies, but all sorts of other tracking and ﬁngerprinting methods are used to do so. Many users delete their cookies frequently, use their browser's private mode or use certain browser plugins in order to reduce the extent to which they are tracked. Being tracked however can never be completely avoided. A number of tracking methods exist, that are very hard or nearly impossible to block. Most of these methods are results of the cat and mouse game between track- ing parties and privacy-conscious users. In this thesis, we will look into the way web browsers and privacy ex- tensions counter known tracking methods and the shortcomings they have. We found out that web browsers all apply similar techniques to block web trackers. The same is true for privacy enhancing browser extensions, which almost all rely on blacklists to block trackers. Currently, only Privacy Bad- ger uses a diﬀerent approach, by using algorithms to identify trackers. In my eyes, this is a promising feature that could be better than blacklists. Contents 1 Introduction 3 2 Current tracking methods 6 2.1 Tracking techniques using data storage . .6 2.1.1 HTTP cookies . .6 2.1.2 Flash cookies . .8 2.1.3 Silverlight Isolated storage . .9 2.1.4 HTML5 Local storage and IndexedDB .
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COMPLAINT for 20 VIOLATIONS OF: 21 Defendants
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Introduction to E-Commerce Combining Business and Information Technology
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Privacy Trade-Offs: How Further Regulation Could Diminish Consumer Choice, Raise Prices, Quash Digital Innovation & Curtail
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