Practical Perl Tools: Give It a REST
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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 . -
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. -
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. -
Understanding the Syntactic Rule Usage in Java
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by UCL Discovery Understanding the Syntactic Rule Usage in Java Dong Qiua, Bixin Lia,∗, Earl T. Barrb, Zhendong Suc aSchool of Computer Science and Engineering, Southeast University, China bDepartment of Computer Science, University College London, UK cDepartment of Computer Science, University of California Davis, USA Abstract Context: Syntax is fundamental to any programming language: syntax defines valid programs. In the 1970s, computer scientists rigorously and empirically studied programming languages to guide and inform language design. Since then, language design has been artistic, driven by the aesthetic concerns and intuitions of language architects. Despite recent studies on small sets of selected language features, we lack a comprehensive, quantitative, empirical analysis of how modern, real-world source code exercises the syntax of its programming language. Objective: This study aims to understand how programming language syntax is employed in actual development and explore their potential applications based on the results of syntax usage analysis. Method: We present our results on the first such study on Java, a modern, mature, and widely-used programming language. Our corpus contains over 5,000 open-source Java projects, totalling 150 million source lines of code (SLoC). We study both independent (i.e. applications of a single syntax rule) and dependent (i.e. applications of multiple syntax rules) rule usage, and quantify their impact over time and project size. Results: Our study provides detailed quantitative information and yields insight, particularly (i) confirming the conventional wisdom that the usage of syntax rules is Zipfian; (ii) showing that the adoption of new rules and their impact on the usage of pre-existing rules vary significantly over time; and (iii) showing that rule usage is highly contextual. -
S-Algol Reference Manual Ron Morrison
S-algol Reference Manual Ron Morrison University of St. Andrews, North Haugh, Fife, Scotland. KY16 9SS CS/79/1 1 Contents Chapter 1. Preface 2. Syntax Specification 3. Types and Type Rules 3.1 Universe of Discourse 3.2 Type Rules 4. Literals 4.1 Integer Literals 4.2 Real Literals 4.3 Boolean Literals 4.4 String Literals 4.5 Pixel Literals 4.6 File Literal 4.7 pntr Literal 5. Primitive Expressions and Operators 5.1 Boolean Expressions 5.2 Comparison Operators 5.3 Arithmetic Expressions 5.4 Arithmetic Precedence Rules 5.5 String Expressions 5.6 Picture Expressions 5.7 Pixel Expressions 5.8 Precedence Table 5.9 Other Expressions 6. Declarations 6.1 Identifiers 6.2 Variables, Constants and Declaration of Data Objects 6.3 Sequences 6.4 Brackets 6.5 Scope Rules 7. Clauses 7.1 Assignment Clause 7.2 if Clause 7.3 case Clause 7.4 repeat ... while ... do ... Clause 7.5 for Clause 7.6 abort Clause 8. Procedures 8.1 Declarations and Calls 8.2 Forward Declarations 2 9. Aggregates 9.1 Vectors 9.1.1 Creation of Vectors 9.1.2 upb and lwb 9.1.3 Indexing 9.1.4 Equality and Equivalence 9.2 Structures 9.2.1 Creation of Structures 9.2.2 Equality and Equivalence 9.2.3 Indexing 9.3 Images 9.3.1 Creation of Images 9.3.2 Indexing 9.3.3 Depth Selection 9.3.4 Equality and Equivalence 10. Input and Output 10.1 Input 10.2 Output 10.3 i.w, s.w and r.w 10.4 End of File 11. -
Sugarj: Library-Based Syntactic Language Extensibility
SugarJ: Library-based Syntactic Language Extensibility Sebastian Erdweg, Tillmann Rendel, Christian Kastner,¨ and Klaus Ostermann University of Marburg, Germany Abstract import pair.Sugar; Existing approaches to extend a programming language with syntactic sugar often leave a bitter taste, because they cannot public class Test f be used with the same ease as the main extension mechanism private (String, Integer) p = ("12", 34); of the programming language—libraries. Sugar libraries are g a novel approach for syntactically extending a programming Figure 1. Using a sugar library for pairs. language within the language. A sugar library is like an or- dinary library, but can, in addition, export syntactic sugar for using the library. Sugar libraries maintain the compos- 1. Introduction ability and scoping properties of ordinary libraries and are Bridging the gap between domain concepts and the imple- hence particularly well-suited for embedding a multitude of mentation of these concepts in a programming language is domain-specific languages into a host language. They also one of the “holy grails” of software development. Domain- inherit self-applicability from libraries, which means that specific languages (DSLs), such as regular expressions for sugar libraries can provide syntactic extensions for the defi- the domain of text recognition or Java Server Pages for the nition of other sugar libraries. domain of dynamic web pages have often been proposed To demonstrate the expressiveness and applicability of to address this problem [31]. To use DSLs in large soft- sugar libraries, we have developed SugarJ, a language on ware systems that touch multiple domains, developers have top of Java, SDF and Stratego, which supports syntactic to be able to compose multiple domain-specific languages extensibility. -
Syntactic Sugar Programming Languages' Constructs - Preliminary Study
ICIT 2011 The 5th International Conference on Information Technology Syntactic Sugar Programming Languages' Constructs - Preliminary Study #1 #2 Mustafa Al-Tamim , Rashid Jayousi Department of Computer Science, Al-Quds University, Jerusalem, Palestine [email protected] 00972-59-9293002 [email protected] 00972-52-7456731 ICIT 2011 The 5th International Conference on Information Technology Syntactic Sugar Programming Languages' Constructs - Preliminary Study #1 #2 Mustafa Al-Tamim , Rashid Jayousi Department of Computer Science, Al-Quds University, Jerusalem, Palestine [email protected] [email protected] Abstract— Software application development is a daily task done syntax and help in making it more readable, easier to write, by developers and code writer all over the world. Valuable less syntax errors and less ambiguous. portion of developers’ time is spent in writing repetitive In this research, we proposed new set of syntactic sugar keywords, debugging code, trying to understand its semantic, constructs that can be composed by a mixture of existing and fixing syntax errors. These tasks become harder when no constructs obtained from some programming languages in integrated development environment (IDE) is available or developers use remote access terminals like UNIX and simple addition to syntactic enhancements suggested by us. Through text editors for code writing. Syntactic sugar constructs in our work as software developer, team leaders, and guiding programming languages are found to offer simple and easy many students in their projects, we noticed that developers syntax constructs to make developers life easier and smother. In write a lot of repetitive keywords in specific parts of code like this paper, we propose a new set of syntactic sugar constructs, packages calling keywords, attributes access modifiers, code and try to find if they really can help developers in eliminating segments and building blocks’ scopes determination symbols syntax errors, make code more readable, more easier to write, and others. -
Compiler Construction E Syntactic Sugar E
Compiler Construction e Syntactic sugar E Compiler Construction Syntactic sugar 1 / 16 Syntactic sugar & Desugaring Syntactic Sugar Additions to a language to make it easier to read or write, but that do not change the expressiveness Desugaring Higher-level features that can be decomposed into language core of essential constructs ) This process is called ”desugaring”. Compiler Construction Syntactic sugar 2 / 16 Pros & Cons for syntactic sugar Pros More readable, More writable Express things more elegantly Cons Adds bloat to the languages Syntactic sugar can affect the formal structure of a language Compiler Construction Syntactic sugar 3 / 16 Syntactic Sugar in Lambda-Calculus The term ”syntactic sugar” was coined by Peter J. Landin in 1964, while describing an ALGOL-like language that was defined in term of lambda-calculus ) goal: replace λ by where Curryfication λxy:e ) λx:(λy:e) Local variables let x = e1 in e2 ) (λx:e2):e1 Compiler Construction Syntactic sugar 4 / 16 List Comprehension in Haskell qs [] = [] qs (x:xs) = qs lt_x ++ [x] ++ qs ge_x where lt_x = [y | y <- xs, y < x] ge_x = [y | y <- xs, x <= y] Compiler Construction Syntactic sugar 5 / 16 List Comprehension in Haskell Sugared [(x,y) | x <- [1 .. 6], y <- [1 .. x], x+y < 10] Desugared filter p (concat (map (\ x -> map (\ y -> (x,y)) [1..x]) [1..6] ) ) where p (x,y) = x+y < 10 Compiler Construction Syntactic sugar 6 / 16 Interferences with error messages ”true” | 42 standard input:1.1-6: type mismatch condition type: string expected type: int function _main() = ( (if "true" then 1 else (42 <> 0)); () ) Compiler Construction Syntactic sugar 7 / 16 Regular Unary - & and | Beware of ( exp ) vs. -
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.