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Canvas Developer Guide
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 . -
LC-MS/MS Method Development for Quantitative Analysis of Cyanogenic
LC-MS/MS METHOD DEVELOPMENT FOR QUANTITATIVE ANALYSIS OF CYANOGENIC GLYCOSIDES IN ELDERBERRY AND LIPID PEROXIDATION PRODUCTS IN MICE _______________________________________ A Dissertation presented to the Faculty of the Graduate School at the University of Missouri-Columbia _______________________________________________________ In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy _____________________________________________________ by MICHAEL KWAME APPENTENG Dr. C. Michael Greenlief, Dissertation Supervisor May 2021 © Copyright by Michael Kwame Appenteng 2021 All Rights Reserved The undersigned, appointed by the dean of the Graduate School at the University of Missouri-Columbia, have examined the dissertation entitled. LC-MS/MS Method Development for Quantitative Analysis of Cyanogenic Glycosides in Elderberry and Lipid Peroxidation Products in Mice presented by Michael Kwame Appenteng, a candidate for the degree of Doctor of Philosophy in Chemistry, and hereby certify that, in their opinion, it is worthy of acceptance. Professor C. Michael Greenlief Professor Silvia S. Jurisson Professor John D. Brockman Professor Chung-Ho Lin DEDICATION This dissertation is dedicated to my dear wife, Naa Adjorkor Sowah and delightful son, Frank Cudjoe Appenteng, for their love, unwavering support, and inspiration. Also, to my selfless parents, Frank Cudjoe and Comfort Asaku, who in little, never compromised on quality education. ACKNOWLEDGMENTS I have received a great deal of support and assistance throughout my research, dissertation writing and entire graduate school experience. I would first like to express my deepest appreciation to my advisor, Dr. C. Michael Greenlief for his unparalleled mentorship, patient and invaluable scientific insights and contributions to my work. Being part of the Greenlief research group has exposed me to great research projects, which have shaped me into an effective and efficient researcher. -
Examples of Personal Assistance Service Devices
Examples Of Personal Assistance Service Devices Megascopic and log Buddy palisading some winger so inward! Combinatorial and conceptional Irwin partaking so needily that Saundra elate his imbrication. Lophodont Olaf homesteads moralistically while Tonnie always gaugings his overturns tubulate straightforward, he fluking so immaterially. You decide how can protect against a medicare patrol program responsibilities of assistance service section of information about As such, the State is now at a decision point regarding the future direction of portable wireless devices and the ongoing support of the infrastructure. Americans, many of whom could receive services in their own homes. Personal Assistance Services associated with the Life Satisfaction of Persons with Physical Disabilities? Our aircraft are not equipped with refrigerators. You have permission to copy material in box manual during your ownuse if proper credit is given. To reduce costs. Foot powder should first be used in available with protective conductive footwear because it provides insulation, reducing the conductive ability of the shoes. The person will agree to deal with assisted living will be sufficient view examples of technology helps users have to listen to? CILs have the potential, with training, to support parents with disabilities, especially to advocate regarding transportation, housing, financial advocacy, and assistive technology issues, and church offer parent support groups. ILRU is a program of TIRR Memorial Hermann, a nationally recognized medical rehabilitation facility for persons with disabilities. Instructions: please deduct this snippet directly into post page contribute your website template. Business Leadership Network and offer American Association of hat with Disabilities. AI capabilities are in software cloud, running the connected device seen and used by the user simply serving as an terms and output device. -
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. -
Nevada's Digital Data Laws in The
21 NEV. L.J. 379 CONVENIENCE OR CONFIDENTIALITY: NEVADA’S DIGITAL DATA LAWS IN THE AGE OF ALWAYS-LISTENING DEVICES E. Sebastian Cate-Cribari* TABLE OF CONTENTS INTRODUCTION ................................................................................................ 379 I. HISTORICAL CONTEXT FOR MODERN ISSUES ...................................... 380 A. Development of Always-Listening Devices .................................. 380 B. Always-Listening Devices in the Law .......................................... 383 C. Nevada’s Historical Approach to Recordings ............................. 385 II. PROSECUTION MOVES ALWAYS-LISTENING DEVICES INTO EVIDENCE ............................................................................................ 388 A. Transcripts and Recordings Under Nevada’s Hearsay Laws ...... 388 B. Transcripts and Recordings Under Nevada’s Authentication Laws ............................................................................................. 389 C. Transcripts Irrelevant When Recordings Available .................... 390 III. PROTECTING NEVADANS’ CONSTITUTIONAL RIGHTS .......................... 393 A. Fourth Amendment Protections and Always-Listening Device Data .............................................................................................. 394 B. First Amendment Issues yet Unanswered .................................... 398 IV. WHAT’S THE USE? REAL WORLD IMPACT OF LEGAL CHANGES ......... 398 A. Always-Listening Devices in Criminal Cases .............................. 398 B. Always-Listening -
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. -
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. -
A New Era: Digital Curtilage and Alexa-Enabled Smart Home Devices
Touro Law Review Volume 36 Number 2 Article 12 2020 A New Era: Digital Curtilage and Alexa-Enabled Smart Home Devices Johanna Sanchez Touro Law Center Follow this and additional works at: https://digitalcommons.tourolaw.edu/lawreview Part of the Constitutional Law Commons, Fourth Amendment Commons, Internet Law Commons, Law Enforcement and Corrections Commons, and the Supreme Court of the United States Commons Recommended Citation Sanchez, Johanna (2020) "A New Era: Digital Curtilage and Alexa-Enabled Smart Home Devices," Touro Law Review: Vol. 36 : No. 2 , Article 12. Available at: https://digitalcommons.tourolaw.edu/lawreview/vol36/iss2/12 This Article is brought to you for free and open access by Digital Commons @ Touro Law Center. It has been accepted for inclusion in Touro Law Review by an authorized editor of Digital Commons @ Touro Law Center. For more information, please contact [email protected]. Sanchez: A New Era: Digital Curtilage A NEW ERA: DIGITAL CURTILAGE AND ALEXA-ENABLED SMART HOME DEVICES Johanna Sanchez* I. INTRODUCTION ....................................................................664 II. SOCIERY’S BENEFITS DERIVED FROM THE ALEXA-ENABLED SMART HOME DEVICES .......................................................667 A. A New Form of Electronic Surveillance...............667 1. What is a smart device? ..............................667 2. What is voice recognition? ..........................668 3. The Alexa-enabled Echo device assists law enforcement .......................................................669 4. -
Surname Given Homefac Homedept Grandtotal Abarbanel-Uemurataro
Surname Given HomeFac HomeDept GrandTotal Abarbanel-UemuraTaro GEST 7 Abbas Ali GENIE CSIGUA 72.39 Abbas Sadiq GENIE CSIGUA 52.66 Abbes Chahreddine SSOC DVMOUA 10 Abbott Kevin SSOC PSYOUA 24 Abbott Caleb ARTS THEAUA 0.33 Abdallah Sara SSAN ACTPNUA 2.41 Abdennur Victoria ARTS ILSAUA 191.09 Abdesselam Aziz GENIE CSIGUA 117.78 Abdul-Majid Sawsan GENIE ELGGUA 14.98 Abdulnour Joseph SSAN ACTPNUA 3 Abdulridha Alaa GENIE CVGGUA 39.57 Abou-Hsab Georges ARTS LLMAUA 28.24 Abtahi Yasmine EDU EDUTEUA 39.06 Achab Karim ARTS ILSAUA 74.33 Acharya Ram SSOC ECOOUA 34 Adesina Opeyemi GENIE CSIGUA 3 Adlington Tara SSAN SINFNUA 8 Ado Abdoulkadre GEST 8 Afonso Carla SSAN SINFNUA 1.22 Afshar Zanjani Kaveh SSOC APIOUA 5 Agbaglah Gbemeho Gilou GENIE MCGGUA 1 Aggor-Boateng Adolphine SSOC SOCOUA 99 Aguer Céline SCIEN BCHSUA 1 Ahluwalia Kyle ARTS THEAUA 14 Ahmad Shamilah SSAN SINFNUA 4 Ahmed Mohamed GENIE ELGGUA 13.99 Ahola-Sidaway Janice EDU EDUDEUA 6 Ait Hammou Abdou GEST 21.5 Aizu Yoriko ARTS LLMAUA 67.19 Akhigbe Okhaide GEST 9.5 Akl Joyce ARTS LLMAUA 15.47 Al Hassan Lina ARTS ILSAUA 2.92 Alainachi Imad GENIE CVGGUA 1 Alamgir-Arif Rizwana SSOC ECOOUA 3 Albert Anne-Andrée SSAN SINFNUA 3.8 Alekseevskaia Mariia SSOC SOCOUA 3 Alencar Dos SantosVito Assis GENIE CVGGUA 3 Al-Fattal Rouba SSOC POLOUA 12 Al-Hasoo Basam ARTS LLMAUA 3.93 Alja'Afreh Mohammad GENIE CSIGUA 3 Al-Jarrah Ahmad GENIE MCGGUA 6 Allain Rhéal ARTS ILSAUA 17.32 Almansour Husham GENIE CVGGUA 1 Almaskut Ahmed SSAN ACTPNUA 16 Al-Mulla Zaid GEST 6 Alphonse Jean Roger EDU EDUFEUA 19.66 Alqawasmeh Yousef -
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. -
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 -
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.