Examining Older Users' Online Privacy-Enhancing
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On the Uniqueness of Browser Extensions and Web Logins
To Extend or not to Extend: on the Uniqueness of Browser Extensions and Web Logins Gábor György Gulyás Dolière Francis Somé INRIA INRIA [email protected] [email protected] Nataliia Bielova Claude Castelluccia INRIA INRIA [email protected] [email protected] ABSTRACT shown that a user’s browser has a number of “physical” charac- Recent works showed that websites can detect browser extensions teristics that can be used to uniquely identify her browser and that users install and websites they are logged into. This poses sig- hence to track it across the Web. Fingerprinting of users’ devices is nificant privacy risks, since extensions and Web logins that reflect similar to physical biometric traits of people, where only physical user’s behavior, can be used to uniquely identify users on the Web. characteristics are studied. This paper reports on the first large-scale behavioral uniqueness Similar to previous demonstrations of user uniqueness based on study based on 16,393 users who visited our website. We test and their behavior [23, 50], behavioral characteristics, such as browser detect the presence of 16,743 Chrome extensions, covering 28% settings and the way people use their browsers can also help to of all free Chrome extensions. We also detect whether the user is uniquely identify Web users. For example, a user installs web connected to 60 different websites. browser extensions she prefers, such as AdBlock [1], LastPass [14] We analyze how unique users are based on their behavior, and find or Ghostery [8] to enrich her Web experience. Also, while brows- out that 54.86% of users that have installed at least one detectable ing the Web, she logs into her favorite social networks, such as extension are unique; 19.53% of users are unique among those who Gmail [13], Facebook [7] or LinkedIn [15]. -
Replication: Why We Still Can't Browse in Peace
Replication: Why We Still Can’t Browse in Peace: On the Uniqueness and Reidentifiability of Web Browsing Histories Sarah Bird, Ilana Segall, and Martin Lopatka, Mozilla https://www.usenix.org/conference/soups2020/presentation/bird This paper is included in the Proceedings of the Sixteenth Symposium on Usable Privacy and Security. August 10–11, 2020 978-1-939133-16-8 Open access to the Proceedings of the Sixteenth Symposium on Usable Privacy and Security is sponsored by USENIX. Replication: Why We Still Can’t Browse in Peace: On the Uniqueness and Reidentifiability of Web Browsing Histories Sarah Bird Ilana Segall Martin Lopatka Mozilla Mozilla Mozilla Abstract This work seeks to reproduce the findings of Olejnik, Castel- We examine the threat to individuals’ privacy based on the luccia, and Janc [48] regarding the leakage of private infor- feasibility of reidentifying users through distinctive profiles mation when users browse the web. The reach of large-scale of their browsing history visible to websites and third par- providers of analytics and advertisement services into the ties. This work replicates and extends the 2012 paper Why overall set of web properties shows a continued increase in Johnny Can’t Browse in Peace: On the Uniqueness of Web visibility [64] by such parties across a plurality of web prop- Browsing History Patterns [48]. The original work demon- erties. This makes the threat of history-based profiling even strated that browsing profiles are highly distinctive and stable. more tangible and urgent now than when originally proposed. We reproduce those results and extend the original work to detail the privacy risk posed by the aggregation of browsing 2 Background and related work histories. -
Fraud and the Darknets
OFFICE OF THE INSPECTOR GENERAL U.S. Department of Education Technology Crimes Division Fraud And The Darknets Thomas Harper Assistant Special Agent in Charge Technology Crimes Division OFFICE OF THE INSPECTOR GENERAL U.S. Department of Education Technology Crimes Division What is an OIG? • Established by Congress • Independent agency that reports to Congress • Agency head appointed by the President and confirmed by Congress • Mission: protect the taxpayer’s interests by ensuring the integrity and efficiency of the associated agency OFFICE OF THE INSPECTOR GENERAL U.S. Department of Education Technology Crimes Division Technology Crimes Division • Investigate criminal cyber threats against the Department’s IT infrastructure, or • Criminal activity in cyber space that threatens the Department’s administration of Federal education assistance funds • Investigative jurisdiction encompasses any IT system used in the administration of Federal money originating from the Department of Education. OFFICE OF THE INSPECTOR GENERAL U.S. Department of Education Technology Crimes Division Work Examples • Grade hacking • Computer Intrusions • Criminal Forums online selling malware • ID/Credential theft to hijack Student Aid applications • Misuse of Department systems to obtain personal information • Falsifying student aid applications by U.S. government employees • Child Exploitation material trafficking OFFICE OF THE INSPECTOR GENERAL U.S. Department of Education Technology Crimes Division Fraud and the Darknets Special Thanks to Financial Crimes Enforcement Network (FINCEN) OFFICE OF THE INSPECTOR GENERAL U.S. Department of Education Technology Crimes Division Fraud and the Darknets OFFICE OF THE INSPECTOR GENERAL U.S. Department of Education Technology Crimes Division OFFICE OF THE INSPECTOR GENERAL U.S. Department of Education Technology Crimes Division OFFICE OF THE INSPECTOR GENERAL U.S. -
August 10, 2011 Broadcasting Board of Governors International
August 10, 2011 Broadcasting Board of Governors International Broadcasting Bureau Office of Engineering Cohen Building, Room 4300 330 Independence Avenue, SW Washington, DC 20237 Attn: Malita Dyson Dear Ms. Dyson, Below is our thirty-ninth invoice for contract number BBGCON1808C6700, Accounting Appropri ation Data 9568-08-0206-E009701048A. There are no travel costs. Services rendered include blocking resistance architecture and testing, scalability and promotion and advocacy for the Tor network, and other detailed tasks under 0001 of our contract as confirmed in our status reports to BBG. Please do not hesitate to email me at [email protected] or call me at (b) (6) if there are any questions. Invoice 39: Period Months Rate Cost 06/17/2011 - 07/17/2011 1 $15,000 $15,000 Thank you. Sincerely, Andrew Lewman Executive Director TorProject Invoice BBG08102011 The Tor Project, Inc. 969 Main Street, Suite 206, Walpole, MA 02081-2972 USA https://www.torproject.org/ From: Andrew Lewman. Executive Director To: Kelly DeYoe, program officer, BBG RE: contract BBGCON1807S6441 Date: August 10, 2011 This report documents progress in July 2011 on contract BBGCON1807S6441 between BBG and The Tor Project. New releases, new hires, new funding New Releases 1. On July 7, we released Torbutton 1.4.0. The addon has been disabled on addons.mozilla.org. Our URL is now canonical. This release features support for Firefox 5.0, and has been tested against the vanilla release for basic functionality. However, it has not been audited for Network Isolation, State Separation, Tor Undiscoverability or Interoperability issues[l] due to toggling under Firefox 5. -
Website Error Messages
Website Error Messages CO with a white page or 429 – Too many requests From time to time you may experience one of these login errors. CO with a white page This error occurs due to overloading. Please try again by clicking the back button or going to the web page again. You may need to try again more than once. If this doesn’t work, try the 429 instructions below. 429 – Too many requests The 429 issue is caused by cookies and web history that web browsers e.g. Chrome, Firefox, Safari, Firefox, Edge track. If you get either of these error pages you will need to clear your web browsing history and cookies. Please view the videos below to take you through this process (you can skip any advertisements). It is really easy to do and only takes a few seconds. Because you are deleting your webpage history and files that websites use to make access quicker to their websites, we suggest you clear the history for the last 7 days (or similar period - if this is an option) first. If you still get one of the login error messages: try clearing the history for the last 4 weeks, or as a last resort ‘All time’. Deleting the history will not harm your computer, but you may need to re-enter some passwords when you next visit some sites. Not sure what web browser you are using? Simply right click on the icon that you use to open your browser. This should show the browser name. Google Chrome https://www.youtube.com/watch?v=MQaUrLhxZJ0 Firefox/Mozilla https://www.youtube.com/watch?v=foMbKtIFaVs Microsoft Edge https://www.youtube.com/watch?v=PqlbvDFfXtw Apple/Mac Safari https://www.youtube.com/watch?v=mY-keJ3xqhk Once you have deleted the history try logging into the NZCCA website again. -
Tor and Circumvention: Lessons Learned
Tor and circumvention: Lessons learned Nick Mathewson The Tor Project https://torproject.org/ 1 What is Tor? Online anonymity 1) open source software, 2) network, 3) protocol Community of researchers, developers, users, and relay operators Funding from US DoD, Electronic Frontier Foundation, Voice of America, Google, NLnet, Human Rights Watch, NSF, US State Dept, SIDA, ... 2 The Tor Project, Inc. 501(c)(3) non-profit organization dedicated to the research and development of tools for online anonymity and privacy Not secretly evil. 3 Estimated ~250,000? daily Tor users 4 Anonymity in what sense? “Attacker can’t learn who is talking to whom.” Bob Alice Alice Anonymity network Bob Alice Bob 5 Threat model: what can the attacker do? Alice Anonymity network Bob watch Alice! watch (or be!) Bob! Control part of the network! 6 Anonymity isn't cryptography: Cryptography just protects contents. “Hi, Bob!” “Hi, Bob!” Alice <gibberish> attacker Bob 7 Anonymity isn't just wishful thinking... “You can't prove it was me!” “Promise you won't look!” “Promise you won't remember!” “Promise you won't tell!” “I didn't write my name on it!” “Isn't the Internet already anonymous?” 8 Anonymity serves different interests for different user groups. Anonymity “It's privacy!” Private citizens 9 Anonymity serves different interests for different user groups. Anonymity Businesses “It's network security!” “It's privacy!” Private citizens 10 Anonymity serves different interests for different user groups. “It's traffic-analysis resistance!” Governments Anonymity Businesses “It's network security!” “It's privacy!” Private citizens 11 Anonymity serves different interests for different user groups. -
Tor: the Second-Generation Onion Router (2014 DRAFT V1)
Tor: The Second-Generation Onion Router (2014 DRAFT v1) Roger Dingledine Nick Mathewson Steven Murdoch The Free Haven Project The Free Haven Project Computer Laboratory [email protected] [email protected] University of Cambridge [email protected] Paul Syverson Naval Research Lab [email protected] Abstract Perfect forward secrecy: In the original Onion Routing We present Tor, a circuit-based low-latency anonymous com- design, a single hostile node could record traffic and later munication service. This Onion Routing system addresses compromise successive nodes in the circuit and force them limitations in the earlier design by adding perfect forward se- to decrypt it. Rather than using a single multiply encrypted crecy, congestion control, directory servers, integrity check- data structure (an onion) to lay each circuit, Tor now uses an ing, configurable exit policies, anticensorship features, guard incremental or telescoping path-building design, where the nodes, application- and user-selectable stream isolation, and a initiator negotiates session keys with each successive hop in practical design for location-hidden services via rendezvous the circuit. Once these keys are deleted, subsequently com- points. Tor is deployed on the real-world Internet, requires promised nodes cannot decrypt old traffic. As a side benefit, no special privileges or kernel modifications, requires little onion replay detection is no longer necessary, and the process synchronization or coordination between nodes, and provides of building circuits is more reliable, since the initiator knows a reasonable tradeoff between anonymity, usability, and ef- when a hop fails and can then try extending to a new node. -
The Dark Net Free
FREE THE DARK NET PDF Jamie Bartlett | 320 pages | 12 Mar 2015 | Cornerstone | 9780099592020 | English | London, United Kingdom What Is the Dark Net? A dark net or darknet is an overlay network within the Internet that can only be accessed with specific software, configurations, or The Dark Net, [1] and often uses a unique customised communication protocol. Two typical darknet types are social networks [2] usually used for file hosting with a peer-to-peer connection[3] and anonymity proxy networks such as Tor via an anonymized series of connections. The term The Dark Net was popularised by major news outlets to associate with Tor Onion serviceswhen the infamous drug bazaar Silk Road used it, [4] despite the terminology being unofficial. Technology such as TorI2Pand Freenet was intended to defend digital rights by providing security, anonymity, or censorship resistance and is used for both illegal and legitimate reasons. Anonymous communication between whistle- blowersactivists, journalists and news organisations is also facilitated The Dark Net darknets through use of applications such as SecureDrop. The term originally The Dark Net computers on ARPANET that were hidden, programmed to receive messages but not respond to or acknowledge anything, thus remaining invisible, in the dark. Since ARPANETthe usage of dark net has expanded to include friend-to-friend networks usually used for file sharing with a peer-to-peer connection and privacy networks such as Tor. The term "darknet" is often used interchangeably with The Dark Net " dark web " due to the quantity of hidden services on Tor 's darknet. The term is often inaccurately used interchangeably with the deep web due to Tor's history as a platform that could not be search-indexed. -
Web Tracking: Mechanisms, Implications, and Defenses Tomasz Bujlow, Member, IEEE, Valentín Carela-Español, Josep Solé-Pareta, and Pere Barlet-Ros
ARXIV.ORG DIGITAL LIBRARY 1 Web Tracking: Mechanisms, Implications, and Defenses Tomasz Bujlow, Member, IEEE, Valentín Carela-Español, Josep Solé-Pareta, and Pere Barlet-Ros Abstract—This articles surveys the existing literature on the of ads [1], [2], price discrimination [3], [4], assessing our methods currently used by web services to track the user online as health and mental condition [5], [6], or assessing financial well as their purposes, implications, and possible user’s defenses. credibility [7]–[9]. Apart from that, the data can be accessed A significant majority of reviewed articles and web resources are from years 2012 – 2014. Privacy seems to be the Achilles’ by government agencies and identity thieves. Some affiliate heel of today’s web. Web services make continuous efforts to programs (e.g., pay-per-sale [10]) require tracking to follow obtain as much information as they can about the things we the user from the website where the advertisement is placed search, the sites we visit, the people with who we contact, to the website where the actual purchase is made [11]. and the products we buy. Tracking is usually performed for Personal information in the web can be voluntarily given commercial purposes. We present 5 main groups of methods used for user tracking, which are based on sessions, client by the user (e.g., by filling web forms) or it can be collected storage, client cache, fingerprinting, or yet other approaches. indirectly without their knowledge through the analysis of the A special focus is placed on mechanisms that use web caches, IP headers, HTTP requests, queries in search engines, or even operational caches, and fingerprinting, as they are usually very by using JavaScript and Flash programs embedded in web rich in terms of using various creative methodologies. -
An Analysis of Web-Based User Tracking and Online Privacy
An analysis of web-based user tracking and online privacy Date: April 16, 2017 Contents 1. Introduction ........................................................................................................................................... 3 2. Privacy .................................................................................................................................................. 5 3. Laws and Regulations to Protect Privacy ............................................................................................. 7 Europe ....................................................................................................................................................... 7 Russia ........................................................................................................................................................ 7 United States ............................................................................................................................................. 7 Asia Pacific ............................................................................................................................................... 8 Middle East ............................................................................................................................................... 8 Africa ........................................................................................................................................................ 9 4. Cookies ................................................................................................................................................ -
Technical and Legal Overview of the Tor Anonymity Network
Emin Çalışkan, Tomáš Minárik, Anna-Maria Osula Technical and Legal Overview of the Tor Anonymity Network Tallinn 2015 This publication is a product of the NATO Cooperative Cyber Defence Centre of Excellence (the Centre). It does not necessarily reflect the policy or the opinion of the Centre or NATO. The Centre may not be held responsible for any loss or harm arising from the use of information contained in this publication and is not responsible for the content of the external sources, including external websites referenced in this publication. Digital or hard copies of this publication may be produced for internal use within NATO and for personal or educational use when for non- profit and non-commercial purpose, provided that copies bear a full citation. www.ccdcoe.org [email protected] 1 Technical and Legal Overview of the Tor Anonymity Network 1. Introduction .................................................................................................................................... 3 2. Tor and Internet Filtering Circumvention ....................................................................................... 4 2.1. Technical Methods .................................................................................................................. 4 2.1.1. Proxy ................................................................................................................................ 4 2.1.2. Tunnelling/Virtual Private Networks ............................................................................... 5 -
Paul Syverson U.S
Theory and Design of Low-latency Anonymity Systems (Lecture 2) Paul Syverson U.S. Naval Research Laboratory [email protected] http://www.syverson.org 1 Course Outline Lecture 1: • Usage examples, basic notions of anonymity, types of anonymous comms systems • Crowds: Probabilistic anonymity, predecessor attacks Lecture 2: • Onion routing basics: simple demo of using Tor, network discovery, circuit construction, crypto, node types and exit policies • Economics, incentives, usability, network effects 2 Course Outline Lecture 3: • Formalization and analysis, possibilistic and probabilistic definitions of anonymity • Hidden services: responder anonymity, predecessor attacks revisited, guard nodes Lecture 4: • Link attacks • Trust 3 Tor Demo Background Tor is an onion routing system for anonymous communication • Initially a project at the U.S. Naval Research Laboratory • The Tor Project Inc. is now a U.S. nonprofit 501 (c) (3) • Network comprised of thousands of volunteer nodes from around the world • Free and open software maintained by the Tor Project, used by hundreds of thousands 4 Getting Tor 5 Vidalia: Tor’s GUI 6 Vidalia: Tor’s GUI 7 8 The Web through Tor and TorButton 9 10 Low-latency systems are vulnerable to end-to-end correlation attacks. Low-latency: Alice1 sends: match! Bob2 gets: Alice2 sends: Bob1 gets: match! Time High-latency: Alice1 sends: Alice2 sends: Bob1 gets: ..... Bob2 gets: ..... These attacks work in practice. The obvious defenses are expensive (like high-latency), useless, or both. 11 Multiple relays so that no single one can betray Alice. Alice Bob R1 R3 R4 R5 R2 12 For Onion Routing: A corrupt first hop can tell that Alice is talking, but not to whom.