Online Tracking: a Crash Course
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Know Before You Go
Know Before You Go NORWAY A Guide to Keep You Safe Abroad provided by: Pathways to Safety International Updated May 2019 KNOW BEFORE YOU GO: NORWAY 2 Let’s be perfectly clear, the number one way to prevent sexual assault is to not rape. While the responsibility of ending sexual gender based violence is on the perpetrators, this guide will offer general safety tips, country-specific information, and resources to help prevent and prepare travelers for the possibility of sexual assault abroad. GENERAL SAFETY TIPS: 1. Use the buddy system and travel with friends. 7 out of 10 2. Be aware of social and cultural norms. For example, looking at someone in rapes are the eyes when you speak to them is perfectly normal in the U.S., but in committed another country that could signify you’re interested in the person. by someone known to the 3. Recognize controlling behavior when entering a relationship. Most rape 1 survivors recall feeling “uncomfortable” about some of their partner’s behaviors victim such as degrading jokes/language or refusal to accept “no” as an answer, whether in a sexual context or otherwise.2 4. Avoid secluded places where you could be more vulnerable. Meet new people in public spaces and let a trusted friend know where you’ll be beforehand. Always have a backup plan in mind. 5. Trust your gut. Many victims have a “bad feeling” right before an assault takes place. It’s okay to leave a situation that is making you feel uncomfortable. Stay alert and aware in new social settings and places. -
The Internet and Web Tracking
Grand Valley State University ScholarWorks@GVSU Technical Library School of Computing and Information Systems 2020 The Internet and Web Tracking Tim Zabawa Grand Valley State University Follow this and additional works at: https://scholarworks.gvsu.edu/cistechlib ScholarWorks Citation Zabawa, Tim, "The Internet and Web Tracking" (2020). Technical Library. 355. https://scholarworks.gvsu.edu/cistechlib/355 This Project is brought to you for free and open access by the School of Computing and Information Systems at ScholarWorks@GVSU. It has been accepted for inclusion in Technical Library by an authorized administrator of ScholarWorks@GVSU. For more information, please contact [email protected]. Tim Zabawa 12/17/20 Capstone Project Cover Page: 1. Introduction 2 2. How we are tracked online 2 2.1 Cookies 3 2.2 Browser Fingerprinting 4 2.3 Web Beacons 6 3. Defenses Against Web Tracking 6 3.1 Cookies 7 3.2 Browser Fingerprinting 8 3.3 Web Beacons 9 4. Technological Examples 10 5. Why consumer data is sought after 27 6. Conclusion 28 7. References 30 2 1. Introduction: Can you remember the last time you didn’t visit at least one website throughout your day? For most people, the common response might be “I cannot”. Surfing the web has become such a mainstay in our day to day lives that a lot of us have a hard time imagining a world without it. What seems like an endless trove of data is right at our fingertips. On the surface, using the Internet seems to be a one-sided exchange of information. We, as users, request data from companies and use it as we deem fit. -
Beacons and Their Uses for Digital Forensics Purposes
Beacons and Their Uses for Digital Forensics Purposes An Investigation Prof. Martin Oliver Luke Lubbe Department of Computer Science Department of Computer Science University of Pretoria University of Pretoria [email protected] [email protected] Abstract— This article relates to the field of digital forensics websites which hosted the web bug and more importantly the with a particular focus on web (World Wide Web) beacons and IP address of the requesting browsers computer. Examples of how they can be utilized for digital forensic purposes. A web detected web beacons on a website are shown in Figure 1.0 beacon or more commonly “web bug” is an example of a hidden resource reference in a webpage, which when the webpage is The reason for the widespread presence of web beacons is loaded, is requested from a third party source. The purpose of a that they have proven to be a very useful method for tracking web beacon is to track the browsing habits of a particular IP user activity on the internet without impairing the users address. This paper proposes a novel technique that utilizes the browsing experience. The ability to track a user’s internet use presence of web beacons to create a unique ID for a website, to and habits has become invaluable for web analysis and test this a practical investigation is performed. The practical subsequently internet marketing. Web analysis is the act of investigation involves an automated scanning of web beacons on studying internet user’s behavior with the objective of a number of websites, this scanning process involves identifying identifying opportunities for improvements to the user which beacons are present on a web page and recording the experience or site performance. -
Address Munging: the Practice of Disguising, Or Munging, an E-Mail Address to Prevent It Being Automatically Collected and Used
Address Munging: the practice of disguising, or munging, an e-mail address to prevent it being automatically collected and used as a target for people and organizations that send unsolicited bulk e-mail address. Adware: or advertising-supported software is any software package which automatically plays, displays, or downloads advertising material to a computer after the software is installed on it or while the application is being used. Some types of adware are also spyware and can be classified as privacy-invasive software. Adware is software designed to force pre-chosen ads to display on your system. Some adware is designed to be malicious and will pop up ads with such speed and frequency that they seem to be taking over everything, slowing down your system and tying up all of your system resources. When adware is coupled with spyware, it can be a frustrating ride, to say the least. Backdoor: in a computer system (or cryptosystem or algorithm) is a method of bypassing normal authentication, securing remote access to a computer, obtaining access to plaintext, and so on, while attempting to remain undetected. The backdoor may take the form of an installed program (e.g., Back Orifice), or could be a modification to an existing program or hardware device. A back door is a point of entry that circumvents normal security and can be used by a cracker to access a network or computer system. Usually back doors are created by system developers as shortcuts to speed access through security during the development stage and then are overlooked and never properly removed during final implementation. -
Integrated Thesis-Sep 12
DEMOGRAPHICS OF ADWARE AND SPYWARE Except where reference is made to the work of others, the work described in this thesis is my own or was done in collaboration with my advisory committee. This thesis does not include proprietary or classified information. _______________________________________________ Kavita Sanyasi Arumugam Certificate of Approval: _____________________________ _____________________________ Dean Hendrix David A Umphress, Chair Associate Professor Associate Professor Computer Science and Computer Science and Software Engineering Software Engineering _____________________________ _____________________________ Cheryl Seals George T. Flowers Assistant Professor Interim Dean Computer Science and Graduate School Software Engineering DEMOGRAPHICS OF ADWARE AND SPYWARE Kavita Arumugam A Thesis Submitted To the Graduate Faculty of Auburn University in Partial Fulfillment of the Requirements for the Degree of Master of Science Auburn, Alabama December 17, 2007 DEMOGRAPHICS OF ADWARE AND SPYWARE Kavita Arumugam Permission is granted to Auburn University to make copies of this thesis at its discretion, upon the request of individuals or institutions and at their expense. The author reserves all publication rights. ____________________________ Signature of Author ____________________________ Date of Graduation iii THESIS ABSTRACT DEMOGRAPHICS OF ADWARE AND SPYWARE Kavita Arumugam Master of Science, December 17, 2007 (B.E., Sir M Visveswaraya Institute of Technology, 2004) 60 Typed Pages Directed by David Umphress The World Wide Web is the most popular use of the Internet. Information can be accessed from this network of web pages. Unknown to users, web pages can access their personal information and, sometimes, also provide information that the user has not asked for. Various kinds of software are used in the web pages. Web pages use Java, Perl scripts, XML, etc. -
Common Threats to Cyber Security Part 1 of 2
Common Threats to Cyber Security Part 1 of 2 Table of Contents Malware .......................................................................................................................................... 2 Viruses ............................................................................................................................................. 3 Worms ............................................................................................................................................. 4 Downloaders ................................................................................................................................... 6 Attack Scripts .................................................................................................................................. 8 Botnet ........................................................................................................................................... 10 IRCBotnet Example ....................................................................................................................... 12 Trojans (Backdoor) ........................................................................................................................ 14 Denial of Service ........................................................................................................................... 18 Rootkits ......................................................................................................................................... 20 Notices ......................................................................................................................................... -
Detection and Blocking of Distributed Denial of Service Attack
DDoS-blocker: Detection and Blocking of Distributed Denial of Service Attack Sugih Jamin EECS Department University of Michigan [email protected] Internet Design Goals Key design goals of Internet protocols: ¯ resiliency ¯ availability ¯ scalability Security has not been a priority until recently. Sugih Jamin ([email protected]) Security Attacks Two types of security attacks: 1. Against information content: secrecy, integrity, authentication, authorization, privacy, anonymity 2. Against the infrastructure: system intrusion, denial of service Sugih Jamin ([email protected]) Counter Measures Fundamental tools: ¯ Content attack: cryptography ¯ Intrusion detection: border checkpoints (firewall systems) to monitor traffic for known attack patterns ¯ Denial of service: no effective counter measure Sugih Jamin ([email protected]) Denial of Service (DoS) Attack An attacker inundates its victim with otherwise legitimate service requests or traffic such that victim’s resources are overloaded and overwhelmed to the point that the victim can perform no useful work. Sugih Jamin ([email protected]) Distributed Denial of Service (DDoS) Attack A newly emerging, particularly virulent strain of DoS attack enabled by the wide deployment of the Internet. Attacker commandeers systems (zombies) distributed across the Internet to send correlated service requests or traffic to the victim to overload the victim. Sugih Jamin ([email protected]) DDoS Example February 7th and 8th, 2000: several large web sites such as Yahoo!, Amazon, Buy.com, eBay, CNN.com, etc. were taken offline for several hours, costing the victims several millions of dollars. Sugih Jamin ([email protected]) Mechanism of DDoS [Bellovin 2000] Attacker Zombie Zombie Victim Zombie Zombie Internet Zombie Zombie Zombie coordinator Sugih Jamin ([email protected]) TheMakingofaZombie Zombies, the commandeered systems, are usually taken over by exploiting program bugs or backdoors left by the programmers. -
Proxy Auto-Config Files
APPENDIX B Proxy Auto-Config Files Revised: July 15, 2010 Overview Proxy Auto-Configuration (PAC) is a method used by Web browsers to select a proxy for a given URL. The method for choosing a proxy is written as a JavaScript function contained in a PAC file. This file can be hosted locally or on a network. Browsers can be configured to use the file either manually or, in Microsoft Windows environments, automatically using Group Policy Objects. This appendix explains the basics of using PAC files. How PAC Files Work A PAC file is referenced each time a new URL is loaded. The host, for example cnn.com, the URL, for example cnn.com/images/logo.jpg, and other information such as the local machine IP address can be evaluated and rules based on this information used to determine whether to send the traffic via a proxy or direct to the Internet. The following example compares the URL requested by the user, with the URL ipcheckit.com/data/. If the URLs match, the PAC file will instruct the browser to send the request direct to the Internet. This can be used if you need to exception a section of a Web site from going via the Web Scanning Services; if the user had requested only ipcheckit.com, this rule would not apply: if (shExpMatch(url,"ipcheckit.com/data/*")) return "DIRECT"; In the next example the local IP address of the machine making a Web request is evaluated. If the IP address falls within the IP address range 10.10.1.* then the PAC file will send the request to proxy182.scansafe.net. -
RUGGEDCOM ROX V1.16 Device Management 3
Preface Introduction 1 Using ROX 2 RUGGEDCOM ROX v1.16 Device Management 3 System Administration 4 Setup and Configuration 5 User Guide Upgrades 6 For RX1000, RX1000P, RX1100, RX1100P 3/2014 RC1098-EN-03 RUGGEDCOM ROX User Guide Copyright © 2014 Siemens AG All rights reserved. Dissemination or reproduction of this document, or evaluation and communication of its contents, is not authorized except where expressly permitted. Violations are liable for damages. All rights reserved, particularly for the purposes of patent application or trademark registration. This document contains proprietary information, which is protected by copyright. All rights are reserved. No part of this document may be photocopied, reproduced or translated to another language without the prior written consent of Siemens AG. Disclaimer Of Liability Siemens has verified the contents of this manual against the hardware and/or software described. However, deviations between the product and the documentation may exist. Siemens shall not be liable for any errors or omissions contained herein or for consequential damages in connection with the furnishing, performance, or use of this material. The information given in this document is reviewed regularly and any necessary corrections will be included in subsequent editions. We appreciate any suggested improvements. We reserve the right to make technical improvements without notice. Registered Trademarks ROX™, Rugged Operating System On Linux™, CrossBow™ and eLAN™ are trademarks of Siemens AG. ROS® is a registered trademark of Siemens AG. Linux® is the registered trademark of Linus Torvalds in the U.S. and other countries. The registered trademark Linux® is used pursuant to a sublicense from LMI, the exclusive licensee of Linus Torvalds, owner of the mark on a world-wide basis. -
1. What Is a Cookie?
This Cookie Policy explains how cookies and similar technologies (collectively, “Cookie(s)”) are used when you visit our Site. A “Site” includes our websites, emails, and other applications owned and operated by The New York Times Company (the “Company”, “our”, or “us”) as well as any other services that display this Cookie Policy. This policy explains what these technologies are and why they are used, as well as your right to control their use. We may change this Cookie Policy at any time. Please take a look at the “LAST REVISED” date at the top of this page to see when this Cookie Policy was last revised. Any change in this Cookie Policy will become effective when we make the revised Cookie Policy available on or through the Site. If you have any question, please contact us by email at [email protected], or write to us at the following address: CyberReady, LLC, PO BOX 1180, Justin, TX 76247, attn.: Privacy Counsel. 1. What Is A Cookie? A cookie is a small text file (often including a unique identifier), that is sent to a user’s browser from a website's computers and stored on a user’s computer's hard drive or on a tablet or mobile device (collectively, “Computer”). A Cookie stores a small amount of data on your Computer about your visit to the Site. We may also use “web beacons” (also known as “clear GIFs” or “pixel tags”) or similar technologies on our Site to enable us to know whether you have visited a web page or received a message. -
Poster: Web Beacon Based Detection of Data Leakage for Android
Poster: Web Beacon Based Detection of Data Leakage for Android GyeongRyun Bae Hae Young Lee Dept. of Information Security DuDu IT Seoul Women’s University Seoul, Republic of Korea Seoul, Republic of Korea [email protected] [email protected] Abstract—This poster presents a web beacon based data supplied by Android. Fig. 2 shows an example of a web beacon leakage detection method, called B2-D2, in which data leakage that was injected into a short text message. Note that each carried out by spy apps can be detected by injecting web beacons beacon would have a unique name in the final release. into Android and tracing triggered beacons. Compared to the existing solutions, B2-D2 is very lightweight and does not require a system modification. Also, by injecting JavaScript tags instead of web beacons, B2-D2 would be able to exploit cross-site scripting vulnerabilities against attackers. Through preliminary experiments, we have confirmed that it works against many spy apps. Keywords—data leakage detection, mobile privacy, Android, web beacons I. INTRODUCTION Due to a dramatic increase of Android malware, especially spy apps, sensitive data theft from Android devices has become a major form of attack in recent years [1]. Although researchers have proposed a large number of solutions for detecting or preventing data leakage from Android devices, most of them are heavy, e.g., static and/or dynamic analysis based solutions [2,3], Fig. 1. Overview of B2-D2 and/or need system modifications [4,5]. In this poster, we propose a web beacon based data leakage detection method (B2-D2) for Android. -
The Potential Harms of the Tor Anonymity Network Cluster Disproportionately in Free Countries
The potential harms of the Tor anonymity network cluster disproportionately in free countries Eric Jardinea,1,2, Andrew M. Lindnerb,1, and Gareth Owensonc,1 aDepartment of Political Science, Virginia Tech, Blacksburg, VA 24061; bDepartment of Sociology, Skidmore College, Saratoga Springs, NY 12866; and cCyber Espion Ltd, Portsmouth PO2 0TP, United Kingdom Edited by Douglas S. Massey, Princeton University, Princeton, NJ, and approved October 23, 2020 (received for review June 10, 2020) The Tor anonymity network allows users to protect their privacy However, substantial evidence has shown that the preponder- and circumvent censorship restrictions but also shields those ance of Onion/Hidden Services traffic connects to illicit sites (7). distributing child abuse content, selling or buying illicit drugs, or With this important caveat in mind, our data also show that the sharing malware online. Using data collected from Tor entry distribution of potentially harmful and beneficial uses is uneven, nodes, we provide an estimation of the proportion of Tor network clustering predominantly in politically free regimes. In particular, users that likely employ the network in putatively good or bad the average rate of likely malicious use of Tor in our data for ways. Overall, on an average country/day, ∼6.7% of Tor network countries coded by Freedom House as “not free” is just 4.8%. In users connect to Onion/Hidden Services that are disproportion- countries coded as “free,” the percentage of users visiting Onion/ ately used for illicit purposes. We also show that the likely balance Hidden Services as a proportion of total daily Tor use is nearly of beneficial and malicious use of Tor is unevenly spread globally twice as much or ∼7.8%.