Censorship As a Non-Tariff Barrier to Trade”
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Express Vpn for Windows 10 Download How to Get an Expressvpn Free Trial Account – 2021 Hack
express vpn for windows 10 download How to Get an ExpressVPN Free Trial Account – 2021 Hack. The best way to make sure ExpressVPN is the right VPN for you is to take it for a test drive before you commit and make sure its features fit your needs. Unlike some other VPNs, ExpressVPN doesn’t have a standard free trial. But it does have a no-questions-asked, 30-day money-back guarantee. So you can test out the VPN with no limitations, risk-free. If at any point during those 30 days, you decide that ExpressVPN isn’t right for you, you can just request a refund. This is super simple: I’ve tested it using several accounts, and got my money back every time. ExpressVPN Free Trial : Quick Setup Guide. It’s easy to set up ExpressVPN and get your 30 days risk-free. Here’s a step-by-step walkthrough that will have you ready in minutes. Head over to the ExpressVPN free trial page, and select, “Start Your Trial Today” to go right to their pricing list. Choose your subscription plan length, and then enter your email address and payment details. Note that longer plans are much cheaper. ExpressVPN’s long-term plans are the most affordable. It’s easy to download the app to your device. The set up for the ExpressVPN app is simple, and fast. Request a refund via live chat. Try ExpressVPN risk-free for 30-days. Free Trial Vs. Money-Back Guarantee. The trial period for ExpressVPN is really a 30-day money-back guarantee, but this is better than a free trial. -
41-1-64-Vlazakis-Pdfa.Pdf (378.1Kb)
Amazon’s Antitrust Fair Play, a Transatlantic Evaluation ANGELOS VLAZAKIS AND ANGELIKI VARELA For the first time after a century, antitrust law has been making head- lines around the country. Amazon, among other technological giants, finds itself in the middle of a cyclone against economic power. This article joins the endeavor of several scholars to understand Amazon’s conduct, but through a different lens. It tries to see the big picture of Amazon’s relevant market of operation, it evaluates indirect and potential competition and reaches the conclusion that the legendary e-retailer has a weak monopoly, if not any monopoly power. Subsequently, the article assesses several doctrines that could sanction Amazon’s market conduct through comparative legal re- search between American and European law to reach the conclusion that a broad interpretation of the current theory would have an adverse impact on social welfare. What if Amazon is a fair market player after all? . Angelos Vlazakis is an Attorney-at-Law; Onassis Foundation Scholar for Anti- trust Law; LL.M., University of Chicago; LL.M. in European Law (hons.) and LL.B. (hons.), National & Kapodistrian University of Athens. Angeliki Varela is an Attorney-at-Law; M.B.A. (hons.), University of Chicago Booth School of Business; LL.M., University of Penn- sylvania; LL.B., National & Kapodistrian University of Athens. The current article is a prod- uct of independent research conducted at the University of Chicago. It represents the opinions of the authors only, and not the position or opinions of the authors’ current employers. We are grateful to Professor Andrew Rosenfield for his meaningful feedback, mentorship and guid- ance throughout the drafting process. -
Iclab: a Global, Longitudinal Internet Censorship Measurement Platform
ICLab: A Global, Longitudinal Internet Censorship Measurement Platform Arian Akhavan Niaki∗y Shinyoung Cho∗yz Zachary Weinberg∗x Nguyen Phong Hoangz Abbas Razaghpanahz Nicolas Christinx Phillipa Gilly yUniversity of Massachusetts, Amherst zStony Brook University xCarnegie Mellon University {arian, shicho, phillipa}@cs.umass.edu {shicho, nghoang, arazaghpanah}@cs.stonybrook.edu {zackw, nicolasc}@cmu.edu Abstract—Researchers have studied Internet censorship for remains elusive. We highlight three key challenges that must nearly as long as attempts to censor contents have taken place. be addressed to make progress in this space: Most studies have however been limited to a short period of time and/or a few countries; the few exceptions have traded off detail Challenge 1: Access to Vantage Points. With few ex- for breadth of coverage. Collecting enough data for a compre- ceptions,1 measuring Internet censorship requires access to hensive, global, longitudinal perspective remains challenging. “vantage point” hosts within the region of interest. In this work, we present ICLab, an Internet measurement The simplest way to obtain vantage points is to recruit platform specialized for censorship research. It achieves a new balance between breadth of coverage and detail of measurements, volunteers [37], [43], [73], [80]. Volunteers can run software by using commercial VPNs as vantage points distributed around that performs arbitrary network measurements from each the world. ICLab has been operated continuously since late vantage point, but recruiting more than a few volunteers per 2016. It can currently detect DNS manipulation and TCP packet country and retaining them for long periods is difficult. Further, injection, and overt “block pages” however they are delivered. -
JD: Envisioning the Future of Retail
N9-618-051 REV: MAY 18, 2018 FENG ZHU SHIRLEY SUN JD: Envisioning the Future of Retail After celebrating JD’s 13th birthday on June 18, 2017, Richard Liu, the company’s founder, chairman and CEO, observed the construction site outside his office window. JD was the second largest e- commerce company in China by gross merchandise volume (GMV). (See Exhibit 1 on JD’s growth over the years.) The new office building expanded JD’s headquarters in Beijing, China, and symbolized the company’s recent success. June 18 not only marked JD’s founding, it also represented a shopping festival established by the company—and had quickly become one of China’s largest online shopping festivals in addition to the massive Singles’ Day sale on November 11, originally a festival for youths to celebrate their singlehood, as represented by the date’s four single digits “11.11.” From June 1-18, JD offered special promotions followed by other online retailers. In 2017, JD amassed a $17.6 billion in total transaction volume during that period, an increase of over 50% compared to the same period in the previous year.1 As JD challenged Alibaba more directly, Liu had to decide how to generate continued growth. To him, one important competitiveness of JD lay in the company’s self-operated nationwide logistics network and developments in proprietary technologies.2 With control over fulfillment and delivery, JD was able to offer same-or-next-day delivery as a standard service for Chinese consumers, a strategy that had won customers’ hearts over the years.3 This fulfillment capability put JD in the leadership position, even when compared to its US counterparts such as Amazon. -
Shedding Light on Mobile App Store Censorship
Shedding Light on Mobile App Store Censorship Vasilis Ververis Marios Isaakidis Humboldt University, Berlin, Germany University College London, London, UK [email protected] [email protected] Valentin Weber Benjamin Fabian Centre for Technology and Global Affairs University of Telecommunications Leipzig (HfTL) University of Oxford, Oxford, UK Humboldt University, Berlin, Germany [email protected] [email protected] ABSTRACT KEYWORDS This paper studies the availability of apps and app stores across app stores, censorship, country availability, mobile applications, countries. Our research finds that users in specific countries do China, Russia not have access to popular app stores due to local laws, financial reasons, or because countries are on a sanctions list that prohibit ACM Reference Format: Vasilis Ververis, Marios Isaakidis, Valentin Weber, and Benjamin Fabian. foreign businesses to operate within its jurisdiction. Furthermore, 2019. Shedding Light on Mobile App Store Censorship. In 27th Conference this paper presents a novel methodology for querying the public on User Modeling, Adaptation and Personalization Adjunct (UMAP’19 Ad- search engines and APIs of major app stores (Google Play Store, junct), June 9–12, 2019, Larnaca, Cyprus. ACM, New York, NY, USA, 6 pages. Apple App Store, Tencent MyApp Store) that is cross-verified by https://doi.org/10.1145/3314183.3324965 network measurements. This allows us to investigate which apps are available in which country. We primarily focused on the avail- ability of VPN apps in Russia and China. Our results show that 1 INTRODUCTION despite both countries having restrictive VPN laws, there are still The widespread adoption of smartphones over the past decade saw many VPN apps available in Russia and only a handful in China. -
Internet Infrastructure Review Vol.27
Internet Infrastructure Vol.27 Review May 2015 Infrastructure Security Increasingly Malicious PUAs Messaging Technology Anti-Spam Measure Technology and DMARC Trends Web Traffic Report Report on Access Log Analysis Results for Streaming Delivery of the 2014 Summer Koshien Inte r ne t In f r ast r uc t ure Review Vol.27 May 2015 Executive Summary ———————————————————3 1. Infrastructure Security ———————————————4 Table of Contents Table 1.1 Introduction —————————————————————— 4 1.2 Incident Summary ——————————————————— 4 1.3 Incident Survey ——————————————————— 11 1.3.1 DDoS Attacks —————————————————————— 11 1.3.2 Malware Activities ———————————————————— 13 1.3.3 SQL Injection Attacks —————————————————— 16 1.3.4 Website Alterations ——————————————————— 17 1.4 Focused Research —————————————————— 18 1.4.1 Increasingly Malicious PUAs —————————————— 18 1.4.2 ID Management Technology: From a Convenience and Security Perspective ————— 22 1.4.3 Evaluating the IOCs of Malware That Reprograms HDD Firmware —————————————————————— 25 1.5 Conclusion —————————————————————— 27 2. Messaging Technology —————————————— 28 2.1 Introduction ————————————————————— 28 2.2 Spam Trends ————————————————————— 28 2.2.1 Spam Ratios Decline Further in FY2014 ————————— 28 2.2.2 Higher Risks Despite Lower Volumes —————————— 29 2.3 Trends in Email Technologies ——————————— 29 2.3.1 The DMARC RFC ————————————————————— 29 2.3.2 Problems with DMARC and Reporting —————————— 30 2.3.3 Use of DMARC by Email Recipients ——————————— 30 2.3.4 Domain Reputation ——————————————————— 31 2.3.5 -
Threat Modeling and Circumvention of Internet Censorship by David Fifield
Threat modeling and circumvention of Internet censorship By David Fifield A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Computer Science in the Graduate Division of the University of California, Berkeley Committee in charge: Professor J.D. Tygar, Chair Professor Deirdre Mulligan Professor Vern Paxson Fall 2017 1 Abstract Threat modeling and circumvention of Internet censorship by David Fifield Doctor of Philosophy in Computer Science University of California, Berkeley Professor J.D. Tygar, Chair Research on Internet censorship is hampered by poor models of censor behavior. Censor models guide the development of circumvention systems, so it is important to get them right. A censor model should be understood not just as a set of capabilities|such as the ability to monitor network traffic—but as a set of priorities constrained by resource limitations. My research addresses the twin themes of modeling and circumvention. With a grounding in empirical research, I build up an abstract model of the circumvention problem and examine how to adapt it to concrete censorship challenges. I describe the results of experiments on censors that probe their strengths and weaknesses; specifically, on the subject of active probing to discover proxy servers, and on delays in their reaction to changes in circumvention. I present two circumvention designs: domain fronting, which derives its resistance to blocking from the censor's reluctance to block other useful services; and Snowflake, based on quickly changing peer-to-peer proxy servers. I hope to change the perception that the circumvention problem is a cat-and-mouse game that affords only incremental and temporary advancements. -
Style Counsel: Seeing the (Random) Forest for the Trees in Adversarial Code Stylometry∗
Style Counsel: Seeing the (Random) Forest for the Trees in Adversarial Code Stylometry∗ Christopher McKnight Ian Goldberg Magnet Forensics University of Waterloo [email protected] [email protected] ABSTRACT worm based on an examination of the reverse-engineered code [17], The results of recent experiments have suggested that code stylom- casting style analysis as a forensic technique. etry can successfully identify the author of short programs from This technique, however, may be used to chill speech for soft- among hundreds of candidates with up to 98% precision. This poten- ware developers. There are several cases of developers being treated tial ability to discern the programmer of a code sample from a large as individuals of suspicion, intimidated by authorities and/or co- group of possible authors could have concerning consequences for erced into removing their software from the Internet. In the US, the open-source community at large, particularly those contrib- Nadim Kobeissi, the Canadian creator of Cryptocat (an online se- utors that may wish to remain anonymous. Recent international cure messaging application) was stopped, searched, and questioned events have suggested the developers of certain anti-censorship by Department of Homeland Security officials on four separate oc- and anti-surveillance tools are being targeted by their governments casions in 2012 about Cryptocat and the algorithms it employs [16]. and forced to delete their repositories or face prosecution. In November 2014, Chinese developer Xu Dong was arrested, pri- In light of this threat to the freedom and privacy of individual marily for political tweets, but also because he allegedly “committed programmers around the world, we devised a tool, Style Counsel, to crimes of developing software to help Chinese Internet users scale aid programmers in obfuscating their inherent style and imitating the Great Fire Wall of China” [4] in relation to proxy software he another, overt, author’s style in order to protect their anonymity wrote. -
Wireguard in Eduvpn Report
WireGuard in eduVPN Report Nick Aquina SURF, Utrecht Fontys University of Applied Sciences, Eindhoven INTERNSHIP REPORT FONTYS UNIVERSITY OF APPLIED SCIENCES HBO-ICT Data student: Family name, initials: Aquina, N Student number: project period: (from – till) 31 August 2020 – 22 January 2021 Data company: Name company/institution: SURF Department: Team Security Address: Kantoren Hoog Overborch, 3511 EP Utrecht, Moreelsepark 48 Company tutor: Family name, initials: Spoor, R Position: (Tech) Product Manager University tutor: Family name, initials: Vos, A Final report: Title: WireGuard in eduVPN Date: 12 January 2021 Approved and signed by the company tutor: Date: 12 January 2021 Signature: Preface This report is written for my internship for Fontys. The internship was done at SURF for the eduVPN project. My task was to build a proof of concept in which WireGuard is integrated into eduVPN. This internship took place from September 2020 until January 2021. I would like to thank Arno Vos for his guidance and feedback throughout this internship. I would also like to thank Rogier Spoor for guiding me throughout this internship and inviting me to meetings which gave me a valuable insight into cyber security and technological issues facing members of SURF. And last, but not least, I would like to thank François Kooman for all technical support, advice and code reviews which helped improve the project. All blue text can be clicked to open a hyperlink. 1 Contents Preface . .1 Summary 4 Introduction 5 Free software . .5 The company (SURF) 6 Project 7 Context / Initial situation . .7 Project goal . .7 Assignment . .7 Constraints . .8 Development strategy . -
Digital Authoritarianism and the Global Threat to Free Speech Hearing
DIGITAL AUTHORITARIANISM AND THE GLOBAL THREAT TO FREE SPEECH HEARING BEFORE THE CONGRESSIONAL-EXECUTIVE COMMISSION ON CHINA ONE HUNDRED FIFTEENTH CONGRESS SECOND SESSION APRIL 26, 2018 Printed for the use of the Congressional-Executive Commission on China ( Available at www.cecc.gov or www.govinfo.gov U.S. GOVERNMENT PUBLISHING OFFICE 30–233 PDF WASHINGTON : 2018 VerDate Nov 24 2008 12:25 Dec 16, 2018 Jkt 081003 PO 00000 Frm 00001 Fmt 5011 Sfmt 5011 C:\USERS\DSHERMAN1\DESKTOP\VONITA TEST.TXT DAVID CONGRESSIONAL-EXECUTIVE COMMISSION ON CHINA LEGISLATIVE BRANCH COMMISSIONERS Senate House MARCO RUBIO, Florida, Chairman CHRIS SMITH, New Jersey, Cochairman TOM COTTON, Arkansas ROBERT PITTENGER, North Carolina STEVE DAINES, Montana RANDY HULTGREN, Illinois JAMES LANKFORD, Oklahoma MARCY KAPTUR, Ohio TODD YOUNG, Indiana TIM WALZ, Minnesota DIANNE FEINSTEIN, California TED LIEU, California JEFF MERKLEY, Oregon GARY PETERS, Michigan ANGUS KING, Maine EXECUTIVE BRANCH COMMISSIONERS Not yet appointed ELYSE B. ANDERSON, Staff Director PAUL B. PROTIC, Deputy Staff Director (ii) VerDate Nov 24 2008 12:25 Dec 16, 2018 Jkt 081003 PO 00000 Frm 00002 Fmt 0486 Sfmt 0486 C:\USERS\DSHERMAN1\DESKTOP\VONITA TEST.TXT DAVID C O N T E N T S STATEMENTS Page Opening Statement of Hon. Marco Rubio, a U.S. Senator from Florida; Chair- man, Congressional-Executive Commission on China ...................................... 1 Statement of Hon. Christopher Smith, a U.S. Representative from New Jer- sey; Cochairman, Congressional-Executive Commission on China .................. 4 Cook, Sarah, Senior Research Analyst for East Asia and Editor, China Media Bulletin, Freedom House ..................................................................................... 6 Hamilton, Clive, Professor of Public Ethics, Charles Sturt University (Aus- tralia) and author, ‘‘Silent Invasion: China’s Influence in Australia’’ ............ -
BUSINESS WIRE)—January 28, 2016—Amazon.Com, Inc
AMAZON.COM ANNOUNCES FOURTH QUARTER SALES UP 22% TO $35.7 BILLION SEATTLE—(BUSINESS WIRE)—January 28, 2016—Amazon.com, Inc. (NASDAQ: AMZN) today announced financial results for its fourth quarter ended December 31, 2015. Operating cash flow increased 74% to $11.9 billion for the trailing twelve months, compared with $6.8 billion for the trailing twelve months ended December 31, 2014. Free cash flow increased to $7.3 billion for the trailing twelve months, compared with $1.9 billion for the trailing twelve months ended December 31, 2014. Free cash flow less lease principal repayments increased to $4.7 billion for the trailing twelve months, compared with $529 million for the trailing twelve months ended December 31, 2014. Free cash flow less finance lease principal repayments and assets acquired under capital leases increased to $2.5 billion for the trailing twelve months, compared with an outflow of $2.2 billion for the trailing twelve months ended December 31, 2014. Common shares outstanding plus shares underlying stock-based awards totaled 490 million on December 31, 2015, compared with 483 million one year ago. Fourth Quarter 2015 Net sales increased 22% to $35.7 billion in the fourth quarter, compared with $29.3 billion in fourth quarter 2014. Excluding the $1.2 billion unfavorable impact from year-over-year changes in foreign exchange rates throughout the quarter, net sales increased 26% compared with fourth quarter 2014. Operating income increased 88% to $1.1 billion in the fourth quarter, compared with operating income of $591 million in fourth quarter 2014. Net income was $482 million in the fourth quarter, or $1.00 per diluted share, compared with net income of $214 million, or $0.45 per diluted share, in fourth quarter 2014. -
What Is a Virtual Private Network?
C H A P T E R 1 What Is a Virtual Private Network? A virtual private network (VPN) allows the provisioning of private network services for an organization or organizations over a public or shared infrastructure such as the Internet or service provider backbone network. The shared service provider backbone network is known as the VPN backbone and is used to transport traffic for multiple VPNs, as well as possibly non-VPN traffic. VPNs provisioned using technologies such as Frame Relay and Asynchronous Transfer Mode (ATM) virtual circuits (VC) have been available for a long time, but over the past few years IP and IP/Multiprotocol Label Switching (MPLS)-based VPNs have become more and more popular. This book focuses on describing the deployment of IP- and IP/MPLS-based VPNs. The large number of terms used to categorize and describe the functionality of VPNs has led to a great deal of confusion about what exactly VPNs are and what they can do. The sections that follow cover VPN devices, protocols, technologies, as well as VPN categories and models. VPN Devices Before describing the various VPN technologies and models, it is useful to first describe the various customer and provider network devices that are relevant to the discussion. Devices in the customer network fall into one of two categories: • Customer (C) devices—C devices are simply devices such as routers and switches located within the customer network. These devices do not have direct connectivity to the service provider network. C devices are not aware of the VPN. • Customer Edge (CE) devices—CE devices, as the name suggests, are located at the edge of the customer network and connect to the provider network (via Provider Edge [PE] devices).