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Open 1-Matthewdering-Thesis.Pdf
The Pennsylvania State University The Graduate School ANDROID MARKET: LARGE SCALE RECONSTRUCTION AND ANALYSIS A Thesis in Computer Science and Engineering by Matthew Dering c 2014 Matthew Dering Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science May 2014 The thesis of Matthew Dering was reviewed and approved∗ by the following: Patrick McDaniel Professor of Computer Science and Engineering Thesis Advisor Sencun Zhu Associate Professor of Computer Science and Engineering Raj Acharya Professor of Computer Science and Engineering Department Chair ∗Signatures are on file in the Graduate School. Abstract Smartphones have experienced a boom over the last 10 years. Currently a user is left to trust their device manufacturer when installing applications. In this paper we outline our suite of applications that are designed to provide us and users information about applications leveraging a reversed API for the Google Play market, working in concert with several analysis tools, some of our own design. In order to gather as complete of a picture of the market as possible, we propose a method for recreating the market in its entirety. Using this procured data, we present an overview of how two popular Android features are used in the real world: Permissions and Libraries. We find that there is a large correlation between library use and Permission use, which represents a security concern. iii Table of Contents List of Figures vi List of Tables vii Acknowledgments viii Chapter 1 Introduction 1 1.1 Introduction . 1 1.2 Google Play Market . 2 1.3 Privileges . 4 1.4 Design . -
Chapter # 1 Introduction
Chapter # 1 Introduction Mobile applications (apps) have been gaining rising popularity dueto the advances in mobile technologies and the large increase in the number of mobile users. Consequently, several app distribution platforms, which provide a new way for developing, downloading, and updating software applications in modern mobile devices, have recently emerged. To better understand the download patterns, popularity trends, and development strategies in this rapidly evolving mobile app ecosystem, we systematically monitored and analyzed four popular third-party Android app marketplaces. Our study focuses on measuring, analyzing, and modeling the app popularity distribution, and explores how pricing and revenue strategies affect app popularity and developers’ income. Our results indicate that unlike web and peer-to-peer file sharing workloads, the app popularity distribution deviates from commonly observed Zipf-like models. We verify that these deviations can be mainly attributed to a new download pattern, to which we refer as the clustering effect. We validate the existence of this effect by revealing a strong temporal affinity of user downloads to app categories. Based on these observations, we propose a new formal clustering model for the distribution of app downloads, and demonstrate that it closely fits measured data. Moreover, we observe that paid apps follow a different popularity distribution than free apps, and show how free apps with an ad-based revenue strategy may result in higher financial benefits than paid apps. We believe that this study can be useful to appstore designers for improving content delivery and recommendation systems, as well as to app developers for selecting proper pricing policies to increase their income. -
Japan's Smartphone Market
Executive Insights Volume XVIII, Issue 37 Japan’s Smartphone Surge and Its Impact on the Mobile Marketplace After years of trailing the world’s major markets, Understanding Japan’s mobile evolution smartphone penetration in Japan has taken off Japan was among the earliest adopters of handheld technology, bringing to market some of the first camera phones, mobile TVs — and significantly so, rising from just 15% of the and devices with remote email capability during the early part of population in 2011 to more than 75% today, the millennium. The country also launched its own high-speed according to the Communications and Information cellular data service well before other regions, albeit utilizing a set of standards that were different from those used in the rest of the world. Network Association of Japan (see Figure 1). The surge in handheld devices has paved the way for an explosion Figure 1 in mobile application development in recent years, profoundly Smartphone penetration in Japan, 2011-2016 impacting a number of native industries. For example, news PPTΔ (2011-2016)* aggregation apps are expected to surpass traditional news outlets 100 75 in the years ahead, becoming a touchpoint for a broader array of 90 services, including e-commerce, shopping, promotions/coupons 80 84 and more in the process. Additionally, mobile gaming will gradually 70 77 replace home video systems as the preferred gaming platform, 60 leading to increased revenues from in-app gaming purchases. 50 60 40 Not surprisingly, this growth in Japan’s mobile-device market has 30 39 piqued the interest of foreign businesses eager to capitalize on the 20 region’s newfound application fixation. -
Exploring Mobile News Reading Interactions for News App
Exploring mobile news reading interactions for news app personalisation Marios Constantinides1, John Dowell1, David Johnson1, Sylvain Malacria1, 2 1 University College London, 2 Inria Lille London, United Kingdom Lille, France {m.constantinides, j.dowell}@cs.ucl.ac.uk [email protected] [email protected] ABSTRACT Mobile news access perfectly complements the As news is increasingly accessed on smartphones and continuously updating, 24-hour nature of digital news tablets, the need for personalising news app interactions is services. But if users are now never out of range of the apparent. We report a series of three studies addressing key news, they need more than ever for that access to be issues in the development of adaptive news app interfaces. adaptive and personalised. Personalised news services are We first surveyed users’ news reading preferences and already able to help people find news that is relevant to behaviours; analysis revealed three primary types of reader. them, to recommend the right news to the right users, and to We then implemented and deployed an Android news app help users keep abreast of news by aggregation over that logs users’ interactions with the app. We used the logs multiple sources. This adaptivity is achieved through to train a classifier and showed that it is able to reliably several methods [5] including: news content personalisation recognise a user according to their reader type. Finally we by pushing filtered articles predicted to match the user’s evaluated alternative, adaptive user interfaces for each interests; adaptive news browsing by changing the order of reader type. -
Peer-To-Peer Protocol and Application Detection Support
Peer-to-Peer Protocol and Application Detection Support This appendix lists all the protocols and applications currently supported by Cisco ASR 5500 ADC. • Supported Protocols and Applications, page 1 Supported Protocols and Applications This section lists all the supported P2P protocols, sub-protocols, and the applications using these protocols. Important Please note that various client versions are supported for the protocols. The client versions listed in the table below are the latest supported version(s). Important Please note that the release version in the Supported from Release column has changed for protocols/applications that are new since the ADC plugin release in August 2015. This will now be the ADC Plugin Build number in the x.xxx.xxx format. The previous releases were versioned as 1.1 (ADC plugin release for December 2012 ), 1.2 (ADC plugin release for April 2013), and so on for consecutive releases. New in this Release This section lists the supported P2P protocols, sub-protocols and applications introduced in the ADC Plugin release for December 1, 2017. ADC Administration Guide, StarOS Release 21.6 1 Peer-to-Peer Protocol and Application Detection Support New in this Release Protocol / Client Client Version Group Classification Supported from Application Release 6play 6play (Android) 4.4.1 Streaming Streaming-video ADC Plugin 2.19.895 Unclassified 6play (iOS) 4.4.1 6play — (Windows) BFM TV BFM TV 3.0.9 Streaming Streaming-video ADC Plugin 2.19.895 (Android) Unclassified BFM TV (iOS) 5.0.7 BFM — TV(Windows) Clash Royale -
Meteor: Seeding a Security-Enhancing Infrastructure for Multi-Market Application Ecosystems
Meteor: Seeding a Security-Enhancing Infrastructure for Multi-market Application Ecosystems David Barrera William Enck Paul C. van Oorschot School of Computer Science Department of Computer Science School of Computer Science Carleton University North Carolina State University Carleton University Abstract—Application markets providing one-click software in- Bouncer [16]).1 Second, it provides a means to remotely stallation have become common to smartphones and are emerging uninstall distributed apps later identified as malicious. These on desktop platforms. Until recently, each platform has had only remote uninstalls (or “kill switches” [6], [5]) provide faster one market; however, social and economic pressures have resulted in multiple-market ecosystems. Multi-market environments limit, clean-up than traditional antivirus software, as they push and in some cases eliminate, valuable security characteristics actions to devices and do not require definition updates or provided by the market model, including kill switches and resource intensive scanning. Finally, search results display developer name consistency. We outline a novel approach to consistent developer names for applications. Once a developer retaining single-market security semantics while enabling the has registered with the market, controls exist such that no flexibility and independence of a multi-market environment. We propose Meteor as a security-enhancing application installation other developer can easily distribute applications under that framework that leverages information (e.g., app statistics, expert developer name. Hence, consumers have some assurance that ratings, developer history) from a configurable set of security all applications provided by “John Smith” are provided by the information sources. We build a proof-of-concept Android ap- same John Smith. -
Multimedia Messaging Service : an Engineering Approach To
Multimedia Messaging Service Multimedia Messaging Service An Engineering Approach to MMS Gwenael¨ Le Bodic Alcatel, France Copyright 2003 John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England Telephone (+44) 1243 779777 Email (for orders and customer service enquiries): [email protected] Visit our Home Page on www.wileyeurope.com or www.wiley.com All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except under the terms of the Copyright, Designs and Patents Act 1988 or under the terms of a licence issued by the Copyright Licensing Agency Ltd, 90 Tottenham Court Road, London W1T 4LP, UK, without the permission in writing of the Publisher. Requests to the Publisher should be addressed to the Permissions Department, John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England, or emailed to [email protected], or faxed to (+44) 1243 770620. This publication is designed to provide accurate and authoritative information in regard to the subject matter covered. It is sold on the understanding that the Publisher is not engaged in rendering professional services. If professional advice or other expert assistance is required, the services of a competent professional should be sought. Other Wiley Editorial Offices John Wiley & Sons Inc., 111 River Street, Hoboken, NJ 07030, USA Jossey-Bass, 989 Market Street, San Francisco, CA 94103-1741, USA Wiley-VCH Verlag GmbH, Boschstr. 12, D-69469 Weinheim, Germany John Wiley & Sons Australia Ltd, 33 Park Road, Milton, Queensland 4064, Australia John Wiley & Sons (Asia) Pte Ltd, 2 Clementi Loop #02-01, Jin Xing Distripark, Singapore 129809 John Wiley & Sons Canada Ltd, 22 Worcester Road, Etobicoke, Ontario, Canada M9W 1L1 Wiley also publishes its books in a variety of electronic formats. -
CTIA Spectrum Efficiency
Smarter and More Efficient: How America’s Wireless Industry Maximizes Its Spectrum 1 Executive Summary The wireless industry is always looking for more spectrum As 5G is deployed, the demands on wireless networks are to meet the growing demand for mobile data, power the only going to increase. 5G will enable a massive increase connectivity that creates jobs and grows the economy, in the number of wirelessly-connected devices, and and sustain the networks that hundreds of millions of the significant increase in 5G network speeds will drive Americans rely upon every day. further increases in data across wireless networks. But as the industry works with policymakers and federal Facing this explosion in mobile data traffic, wireless agencies to find new spectrum to bring to market, wireless providers have taken aggressive efforts to maximize providers are also investing heavily to make more efficient their limited spectrum resources. As Verizon CEO Hans use of the spectrum holdings they have today. Vestberg said, “[T]here are billions of dollars going into spectrum efficiency every day.”2 The reason is simple: Spectral efficiency is not an academic exercise for U.S. efficient use of industry’s spectrum resources is critical wireless providers. It’s essential. Facing a hockey stick to consumers’ mobile experience. increase of mobile data growth, wireless providers must look at all strategies to increase network capacity— Spectrum efficiency has also been a hallmark of the U.S. incorporating new, more efficient wireless technologies focus on flexible, exclusive-use licensing—a framework into their networks and deploying densified infrastructure. that has driven America’s wireless leadership. -
Management Enablement(OMA)
ONEM2M TECHNICAL SPECIFICATION Document Number TS-0005-V3.5.1 Document Name: Management Enablement (OMA) Date: 2019-04-18 Abstract: Specifies the usage of OMA DM and OMA LwM2M resources and the corresponding message flows including normal cases as well as error cases to fulfill the oneM2M management requirements. • Mapping between the oneM2M management related resources and the resources from OMA. • Protocol translation between the oneM2M service layer and OMA. The Mca reference point, ms interface and la interface are possibly involved in this protocol translation. • Resource definitions in OMA to fulfill the oneM2M management requirements. This Specification is provided for future development work within oneM2M only. The Partners accept no liability for any use of this Specification. The present document has not been subject to any approval process by the oneM2M Partners Type 1. Published oneM2M specifications and reports for implementation should be obtained via the oneM2M Partners' Publications Offices. © oneM2M Partners Type 1 (ARIB, ATIS, CCSA, ETSI, TIA, TSDSI, TTA, TTC) Page 1 of 92 This is a draft oneM2M document and should not be relied upon; the final version, if any, will be made available by oneM2M Partners Type 1. About oneM2M The purpose and goal of oneM2M is to develop technical specifications which address the need for a common M2M Service Layer that can be readily embedded within various hardware and software, and relied upon to connect the myriad of devices in the field with M2M application servers worldwide. More information about oneM2M may be found at: http//www.oneM2M.org Copyright Notification No part of this document may be reproduced, in an electronic retrieval system or otherwise, except as authorized by written permission. -
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Context Sensitive Netbooks INF5261
UNIVERSITY OF OSLO Department of Informatics Context sensitive netbooks INF5261 Adriana Alexandri, Morten Frellumstad, Brendan Johan Lee Spring 2009 Contents 1 Introduction 3 2 Netbooks 4 2.1 History, emerging trends and the future . .4 2.2 Android to refocus netbooks? . .5 2.3 Are netbooks going away? . .6 3 Context awareness 7 3.1 Mobility . .9 3.2 Device proximity . 10 3.3 Dual use . 10 4 Ethics 11 4.1 Our issues . 13 4.2 Possible solutions . 15 4.3 The mind . 16 4.4 Conclusion . 16 5 Survey 16 5.1 Methods . 16 5.2 Results . 17 5.3 Conclusions . 18 6 Creating a context aware framework 18 6.1 Software of interest . 18 6.1.1 Mobiola Headset for Skype . 18 6.1.2 JoikuSpot . 18 6.1.3 Blueproximity and pyacceleremoter . 19 6.1.4 Anyremote, Psiloc Wireless Presenter, Salling clicker and Bluetooth remote . 19 6.2 How could we build a context aware system at UiO? . 20 6.3 Our suggested framework . 22 7 Conclusion 23 7.1 Future work . 24 7.1.1 An experiment at Blindern . 25 References 26 A Descriptive Statistics 30 B Descriptive Statistics: U1; U2; U3; U4; U5; U6; U7; U8 30 1 C Descriptive Statistics: S1; S2; S3; S4; S5; S6; S7; S8; ... 31 D Subset bring to UiO often Descriptive Statistics: U1; U2; U3; U4; U5; U6; U7; U8 32 E Existing and non-existing services 34 E.1 Non existing service (to our knowledge) . 34 E.2 Existing services . 34 2 1 Introduction Netbook is a collective term, most likely coined by Psion in 1999[1], repre- senting relatively inexpensive small notebooks designed for wireless commu- nication and Internet access. -
Wang Lin.Pdf 791KB Dec 05 2013 05:23:33 PM
University of Florida Department of Electrical and Computer Engineering EEL 4665/5666 Intelligent Machines Design Laboratory Written Report Student Name: Lin Wang Robot Name: Sh ake Shake Shake E-Mail: [email protected] Instructors: Dr. A. Antonio Arroyo Dr. Eric M. Schwartz TAs: Ryan Chilton Josh Weaver Table of Contents Abstract .......................................................................................................................... 4 Executive Summary ....................................................................................................... 4 Introduction .................................................................................................................... 5 Integrated system ........................................................................................................... 6 Mobile platform ............................................................................................................. 8 Actuation ........................................................................................................................ 9 Sensors ........................................................................................................................... 9 Behaviors ..................................................................................................................... 11 Experimental layout and results ................................................................................... 12 Conclusion ..................................................................................................................