The Effectiveness of Application Permissions
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Appendix 1 - 5 Appendix 1 - Questionnaire for Colleges
Appendix 1 - 5 Appendix 1 - Questionnaire for Colleges Declaration: I, Rajeev Ghode, persuing my Ph.D. in Department of Communication Studies, Pune University. Title of Ph.D. Research is "To study potential and challenges in the use and adoption of ICT in Higher Education"For this research purpose, I want to collect quantitative data from all the professors of colleges which are affiliated to Pune University. I ensure that all the data collected will be used only for the Ph.D. research and secrecy of the data will be maintained. I appreciate you for spending your valuable time to fill this questionnaire. Thanking You <•;. Prof. Rajeev Ghode Questionnaire Name of the College Address/City 1 Arts Science and Commerce College 1 Arts Science and Commerce College with Computer Science Type of College 1 Commerce and BBA Q B.Ed. College 1 1 Law Institutional ICT Infrastructure Sr. ICT Infrastructure Yes No Provision in near No. future 1. Multimedia /Conference Hall 2. Computer Lab 3. Internet Connectivity in Campus 4. Digital Library 5. Website 6. Organization e-mail Server 7. Blog Appendix - I Sr. ICT Infrastructure Yes No Provision in near No. future 8. Presence on SNS 9. Online Admission System 10. Online/Offline Examination Application 11. Biometric Attendance 12. Student Management System 13. Professional membership for online journals Department-wise ICT Infrastructure Sr. ICT Infrastructure Yes No Provision in near No. future 1. Do you have separate Desktops for faculties in every department? 2. Do you have separate Laptops for every department? 3. Does every department have LCD Projector? 4. -
Apigee X Migration Offering
Apigee X Migration Offering Overview Today, enterprises on their digital transformation journeys are striving for “Digital Excellence” to meet new digital demands. To achieve this, they are looking to accelerate their journeys to the cloud and revamp their API strategies. Businesses are looking to build APIs that can operate anywhere to provide new and seamless cus- tomer experiences quickly and securely. In February 2021, Google announced the launch of the new version of the cloud API management platform Apigee called Apigee X. It will provide enterprises with a high performing, reliable, and global digital transformation platform that drives success with digital excellence. Apigee X inte- grates deeply with Google Cloud Platform offerings to provide improved performance, scalability, controls and AI powered automation & security that clients need to provide un-parallel customer experiences. Partnerships Fresh Gravity is an official partner of Google Cloud and has deep experience in implementing GCP products like Apigee/Hybrid, Anthos, GKE, Cloud Run, Cloud CDN, Appsheet, BigQuery, Cloud Armor and others. Apigee X Value Proposition Apigee X provides several benefits to clients for them to consider migrating from their existing Apigee Edge platform, whether on-premise or on the cloud, to better manage their APIs. Enhanced customer experience through global reach, better performance, scalability and predictability • Global reach for multi-region setup, distributed caching, scaling, and peak traffic support • Managed autoscaling for runtime instance ingress as well as environments independently based on API traffic • AI-powered automation and ML capabilities help to autonomously identify anomalies, predict traffic for peak seasons, and ensure APIs adhere to compliance requirements. -
EN-Google Hacks.Pdf
Table of Contents Credits Foreword Preface Chapter 1. Searching Google 1. Setting Preferences 2. Language Tools 3. Anatomy of a Search Result 4. Specialized Vocabularies: Slang and Terminology 5. Getting Around the 10 Word Limit 6. Word Order Matters 7. Repetition Matters 8. Mixing Syntaxes 9. Hacking Google URLs 10. Hacking Google Search Forms 11. Date-Range Searching 12. Understanding and Using Julian Dates 13. Using Full-Word Wildcards 14. inurl: Versus site: 15. Checking Spelling 16. Consulting the Dictionary 17. Consulting the Phonebook 18. Tracking Stocks 19. Google Interface for Translators 20. Searching Article Archives 21. Finding Directories of Information 22. Finding Technical Definitions 23. Finding Weblog Commentary 24. The Google Toolbar 25. The Mozilla Google Toolbar 26. The Quick Search Toolbar 27. GAPIS 28. Googling with Bookmarklets Chapter 2. Google Special Services and Collections 29. Google Directory 30. Google Groups 31. Google Images 32. Google News 33. Google Catalogs 34. Froogle 35. Google Labs Chapter 3. Third-Party Google Services 36. XooMLe: The Google API in Plain Old XML 37. Google by Email 38. Simplifying Google Groups URLs 39. What Does Google Think Of... 40. GooglePeople Chapter 4. Non-API Google Applications 41. Don't Try This at Home 42. Building a Custom Date-Range Search Form 43. Building Google Directory URLs 44. Scraping Google Results 45. Scraping Google AdWords 46. Scraping Google Groups 47. Scraping Google News 48. Scraping Google Catalogs 49. Scraping the Google Phonebook Chapter 5. Introducing the Google Web API 50. Programming the Google Web API with Perl 51. Looping Around the 10-Result Limit 52. -
2Nd USENIX Conference on Web Application Development (Webapps ’11)
conference proceedings Proceedings of the 2nd USENIX Conference Application on Web Development 2nd USENIX Conference on Web Application Development (WebApps ’11) Portland, OR, USA Portland, OR, USA June 15–16, 2011 Sponsored by June 15–16, 2011 © 2011 by The USENIX Association All Rights Reserved This volume is published as a collective work. Rights to individual papers remain with the author or the author’s employer. Permission is granted for the noncommercial reproduction of the complete work for educational or research purposes. Permission is granted to print, primarily for one person’s exclusive use, a single copy of these Proceedings. USENIX acknowledges all trademarks herein. ISBN 978-931971-86-7 USENIX Association Proceedings of the 2nd USENIX Conference on Web Application Development June 15–16, 2011 Portland, OR, USA Conference Organizers Program Chair Armando Fox, University of California, Berkeley Program Committee Adam Barth, Google Inc. Abdur Chowdhury, Twitter Jon Howell, Microsoft Research Collin Jackson, Carnegie Mellon University Bobby Johnson, Facebook Emre Kıcıman, Microsoft Research Michael E. Maximilien, IBM Research Owen O’Malley, Yahoo! Research John Ousterhout, Stanford University Swami Sivasubramanian, Amazon Web Services Geoffrey M. Voelker, University of California, San Diego Nickolai Zeldovich, Massachusetts Institute of Technology The USENIX Association Staff WebApps ’11: 2nd USENIX Conference on Web Application Development June 15–16, 2011 Portland, OR, USA Message from the Program Chair . v Wednesday, June 15 10:30–Noon GuardRails: A Data-Centric Web Application Security Framework . 1 Jonathan Burket, Patrick Mutchler, Michael Weaver, Muzzammil Zaveri, and David Evans, University of Virginia PHP Aspis: Using Partial Taint Tracking to Protect Against Injection Attacks . -
Are My Apps Peeking? Comparing Nudging Mechanisms to Raise Awareness of Access to Mobile Front-Facing Camera
Are my Apps Peeking? Comparing Nudging Mechanisms to Raise Awareness of Access to Mobile Front-facing Camera Mariam Hassib Hatem Abdelmoteleb Mohamed Khamis [email protected] [email protected] [email protected] Bundeswehr University German University in Cairo University of Glasgow Munich, Germany Cairo, Egypt Glasgow, United Kingdom ABSTRACT Mobile applications that are granted permission to access the de- vice’s camera can access it at any time without necessarily showing the camera feed to the user or communicating that it is being used. This lack of transparency raises privacy concerns, which are ex- acerbated by the increased adoption of applications that leverage front-facing cameras. Through a focus group we identified three promising approaches for nudging the user that the camera is be- ing accessed, namely: notification bar, frame, and camera preview. We experimented with accompanying each nudging method with vibrotactile and audio feedback. Results from a user study (N=15) Figure 1: Three designs from our focus group: Camera feed show that while using frame nudges is the least annoying and in- on top corner with a red recording dot and the apps using it terrupting, but was less understandable than the camera feed and (left); floating camera icon with red recording dot and noti- notifications. On the other hand, participants found that indicating fication bar with app name (middle); and Red/Orange frame camera usage by showing its feed or by using notifications is easy showing camera access/processing (right). to understand. We discuss how these nudges raise user awareness misconception about camera permissions on Android and iOS de- and the effects on app usage and perception. -
Mobile Applications and Browser Plugins for Wordnets
Sophisticated Lexical Databases - Simplified Usage: Mobile Applications and Browser Plugins For Wordnets Diptesh Kanojia Raj Dabre Pushpak Bhattacharyya CFILT, CSE Department, School of Informatics, CFILT, CSE Department, IIT Bombay, Kyoto University, IIT Bombay, Mumbai, India Kyoto, Japan Mumbai, India [email protected] [email protected] [email protected] Abstract identifiable mother-tongues and 122 major languages1 . Of these, 29 languages have India is a country with 22 officially rec- more than a million native speakers, 60 have ognized languages and 17 of these have more than 100,000 and 122 have more than WordNets, a crucial resource. Web 10,000 native speakers. With this in mind, browser based interfaces are available the construction of the Indian WordNets, the for these WordNets, but are not suited IndoWordNet (Bhattacharyya, 2010) project for mobile devices which deters peo- was initiated which was an effort undertaken ple from effectively using this resource. by over 12 educational and research insti- We present our initial work on devel- tutes headed by IIT Bombay. Indian Word- oping mobile applications and browser Nets were inspired by the pioneering work of extensions to access WordNets for In- Princeton WordNet(Fellbaum, 1998) and cur- dian Languages. rently, there exist WordNets for 17 Indian lan- Our contribution is two fold: (1) We guages with the smallest one having around develop mobile applications for the An- 14,900 synsets and the largest one being Hindi droid, iOS and Windows Phone OS with 39,034 synsets and 100,705 unique words. platforms for Hindi, Marathi and San- Each WordNet is accessible by web interfaces skrit WordNets which allow users to amongst which Hindi WordNet(Dipak et al., search for words and obtain more in- 2002), Marathi WordNet and Sanskrit Word- formation along with their translations Net(Kulkarni et al., 2010) were developed at in English and other Indian languages. -
Mergers in the Digital Economy
2020/01 DP Axel Gautier and Joe Lamesch Mergers in the digital economy CORE Voie du Roman Pays 34, L1.03.01 B-1348 Louvain-la-Neuve Tel (32 10) 47 43 04 Email: [email protected] https://uclouvain.be/en/research-institutes/ lidam/core/discussion-papers.html Mergers in the Digital Economy∗ Axel Gautier y& Joe Lamesch z January 13, 2020 Abstract Over the period 2015-2017, the five giant technologically leading firms, Google, Amazon, Facebook, Amazon and Microsoft (GAFAM) acquired 175 companies, from small start-ups to billion dollar deals. By investigating this intense M&A, this paper ambitions a better understanding of the Big Five's strategies. To do so, we identify 6 different user groups gravitating around these multi-sided companies along with each company's most important market segments. We then track their mergers and acquisitions and match them with the segments. This exercise shows that these five firms use M&A activity mostly to strengthen their core market segments but rarely to expand their activities into new ones. Furthermore, most of the acquired products are shut down post acquisition, which suggests that GAFAM mainly acquire firm’s assets (functionality, technology, talent or IP) to integrate them in their ecosystem rather than the products and users themselves. For these tech giants, therefore, acquisition appears to be a substitute for in-house R&D. Finally, from our check for possible "killer acquisitions", it appears that just a single one in our sample could potentially be qualified as such. Keywords: Mergers, GAFAM, platform, digital markets, competition policy, killer acquisition JEL Codes: D43, K21, L40, L86, G34 ∗The authors would like to thank M. -
Design Challenges in Low-Resource Cross-Lingual Entity Linking
Design Challenges in Low-resource Cross-lingual Entity Linking Xingyu Fu1,∗ Weijia Shi2∗, Xiaodong Yu1, Zian Zhao3, Dan Roth1 1University of Pennsylvania 2University of California Los Angeles 3Columbia University fxingyuf2, xdyu, [email protected] [email protected], [email protected] Abstract Odia: [ଚିଲିକାେର] ଅରଖକୁଦ ନିକଟେର ଏକ ମୁହାଣ େଖାଲିଥିଲା । Cross-lingual Entity Linking (XEL), the prob- English: Gloss: Flood appeared in Arakhkud near [Chilika Lake]. lem of grounding mentions of entities in a for- XEL: eign language text into an English knowledge [ଚିଲିକାେର] Chilika Lake base such as Wikipedia, has seen a lot of re- https://en.wikipedia.org/wiki/Chilika_Lake search in recent years, with a range of promis- ing techniques. However, current techniques Figure 1: The EXL task: in the given sentence we link do not rise to the challenges introduced by text “Chilika Lake” to its corresponding English Wikipedia in low-resource languages (LRL) and, surpris- ingly, fail to generalize to text not taken from task typically involves two main steps: (1) candi- Wikipedia, on which they are usually trained. This paper provides a thorough analysis of date generation, retrieving a list of candidate KB low-resource XEL techniques, focusing on entries for the mention, and (2) candidate ranking, the key step of identifying candidate English selecting the most likely entry from the candidates. Wikipedia titles that correspond to a given for- While XEL techniques have been studied heavily eign language mention. Our analysis indi- in recent years, many challenges remain in the LRL cates that current methods are limited by their setting. -
Devonagentpro
DEVONagent Pro VERSION 3.11.1 DOCUMENTATION © 2001-2019 DEVONtechnologies TABLE OF CONTENTS Read Me 4 Menus 29 The DEVONagent Pro Advantage 5 The DEVONagent Pro menu 29 System Requirements 6 The File menu 30 Installing, Updating, Removing 6 The Edit menu 31 Trial Restrictions 6 The Data menu 32 Version history 7 The Sort menu 33 License Agreement 11 The View menu 33 Credits 11 The Web menu 34 The History menu 35 Getting Started 12 The Go menu 36 Why use DEVONagent Pro? 12 The Window menu 36 When to use DEVONagent Pro? 12 The Services menu 37 DEVONagent Pro at a Glance 13 The Scripts menu 37 First steps with DEVONagent Pro 13 The Help menu 37 The Dock menu 38 Common Tasks 14 Windows and panels 39 How to find on the Internet 14 How to search beyond Google 14 Search window 40 How to customize DEVONagent Pro 15 Web browser 46 How to set up a search set to crawl feeds 15 Archive window 52 How to run a search automatically 16 Search sets 54 How to archive search results 16 Plugins and scanners 54 Downloads 56 Queries 18 Preferences 57 Assistant 57 Operators 18 Designing a search query 19 Preferences 59 Search sets 21 General 59 Search 60 What are search sets? 21 Menu extra 61 Choosing a search set 21 Web 62 Creating and managing sets 22 Tabs 63 Sharing sets 23 Bookmarks 64 General tab 23 Email 64 Advanced tab 25 Update 65 Sites tab 25 Plugins tab 26 Menu extra 66 Actions tab 27 Scripts 67 Schedule tab 28 Introduction 67 DEVONagent Pro's Scripts menu 68 Automator 69 DEVONagent Pro 3.11.1 Documentation, page 2 Plugin Development 70 Creating Your -
Cross Lingual Information Access and Retrieval CHAPTER 1
Cross Lingual Information Access and Retrieval CHAPTER 1 INTRODUCTION 1.1 Overview With an increasingly globalized economy, the ability to find information in other languages is becoming a necessity. Though initially the World Wide Web was dominated by English, now less than half of existing web pages are in English. Thus the problem is that much Internet content is effectively inaccessible as it is stored in languages that are not searchable without specific technical knowhow. To overcome the above problem and to make communication global, the access to cross lingual information is more and more widespread within this society. The demand for fully multilingual multimedia retrieval systems first formulated in 1997, is increasingly relevant today as the global networks become vital sources of information for both professional and leisure activities. Information retrieval (IR) is a process that determines the relationship between document and query. It also defines the strength between them. Cross language information retrieval (CLIR) is the subfield of information retrieval. The basic idea behind the cross language information retrieval (CLIR) system is to retrieve documents in a language different from a query language made in the user’s own language. This may be desirable even when the user is not a speaker of the language used in the retrieved documents. Once it is known that the information exists and is relevant, the retrieved documents can be translated by a translator. Research in the area of crosslanguage information retrieval (CLIR) has focused mainly on methods for translating queries. Full document translation for large collections is impractical, thus query translation is a viable alternative. -
Cesifo Working Paper No. 8056
8056 2020 January 2020 Mergers in the Digital Economy Axel Gautier, Joe Lamesch Impressum: CESifo Working Papers ISSN 2364-1428 (electronic version) Publisher and distributor: Munich Society for the Promotion of Economic Research - CESifo GmbH The international platform of Ludwigs-Maximilians University’s Center for Economic Studies and the ifo Institute Poschingerstr. 5, 81679 Munich, Germany Telephone +49 (0)89 2180-2740, Telefax +49 (0)89 2180-17845, email [email protected] Editor: Clemens Fuest www.cesifo-group.org/wp An electronic version of the paper may be downloaded · from the SSRN website: www.SSRN.com · from the RePEc website: www.RePEc.org · from the CESifo website: www.CESifo-group.org/wp CESifo Working Paper No. 8056 Mergers in the Digital Economy Abstract Over the period 2015-2017, the five giant technologically leading firms, Google, Amazon, Facebook, Amazon and Microsoft (GAFAM) acquired 175 companies, from small start-ups to billion dollar deals. By investigating this intense M&A, this paper ambitions a better understanding of the Big Five’s strategies. To do so, we identify 6 different user groups gravitating around these multi-sided companies along with each company’s most important market segments. We then track their mergers and acquisitions and match them with the segments. This exercise shows that these five firms use M&A activity mostly to strengthen their core market segments but rarely to expand their activities into new ones. Furthermore, most of the acquired products are shut down post acquisition, which suggests that GAFAM mainly acquire firm’s assets (functionality, technology, talent or IP) to integrate them in their ecosystem rather than the products and users themselves. -
Configuration of Application Permissions with Contextual Access Control
CONFIGURATION OF APPLICATION PERMISSIONS WITH CONTEXTUAL ACCESS CONTROL by Andrew Besmer A dissertation submitted to the faculty of The University of North Carolina at Charlotte in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Information Technology Charlotte 2013 Approved by: Dr. Heather Richter Lipford Dr. Mohamed Shehab Dr. Celine Latulipe Dr. Richard Lambert Dr. Lorrie Cranor ii c 2013 Andrew Besmer ALL RIGHTS RESERVED iii ABSTRACT ANDREW BESMER. Configuration of application permissions with contextual access control. (Under the direction of DR. HEATHER RICHTER LIPFORD) Users are burdened with the task of configuring access control policies on many dif- ferent application platforms used by mobile devices and social network sites. Many of these platforms employ access control mechanisms to configure application per- missions before the application is first used and provide an all or nothing decision for the user. When application platforms provide fine grained control over decision making, many users exhibit behavior that indicates they desire more control over their application permissions. However, users who desire control over application permissions still struggle to properly configure them because they lack the context in which to make better decisions. In this dissertation, I attempt to address these problems by exploring decision making during the context of using mobile and social network applications. I hypothesize that users are able to better configure access control permissions as they interact with applications by supplying more contextual information than is available when the application is being installed. I also explore how logged access data generated by the application platform can provide users with more understanding of when their data is accessed.