Deep Web and Dark Web
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An Evolving Threat the Deep Web
8 An Evolving Threat The Deep Web Learning Objectives distribute 1. Explain the differences between the deep web and darknets.or 2. Understand how the darknets are accessed. 3. Discuss the hidden wiki and how it is useful to criminals. 4. Understand the anonymity offered by the deep web. 5. Discuss the legal issues associated withpost, use of the deep web and the darknets. The action aimed to stop the sale, distribution and promotion of illegal and harmful items, including weapons and drugs, which were being sold on online ‘dark’ marketplaces. Operation Onymous, coordinated by Europol’s Europeancopy, Cybercrime Centre (EC3), the FBI, the U.S. Immigration and Customs Enforcement (ICE), Homeland Security Investigations (HSI) and Eurojust, resulted in 17 arrests of vendors andnot administrators running these online marketplaces and more than 410 hidden services being taken down. In addition, bitcoins worth approximately USD 1 million, EUR 180,000 Do in cash, drugs, gold and silver were seized. —Europol, 20141 143 Copyright ©2018 by SAGE Publications, Inc. This work may not be reproduced or distributed in any form or by any means without express written permission of the publisher. 144 Cyberspace, Cybersecurity, and Cybercrime THINK ABOUT IT 8.1 Surface Web and Deep Web Google, Facebook, and any website you can What Would You Do? find via traditional search engines (Internet Explorer, Chrome, Firefox, etc.) are all located 1. The deep web offers users an anonym- on the surface web. It is likely that when you ity that the surface web cannot provide. use the Internet for research and/or social What would you do if you knew that purposes you are using the surface web. -
Improving Signal's Sealed Sender
Improving Signal’s Sealed Sender Ian Martiny∗, Gabriel Kaptchuky, Adam Avivz, Dan Rochex, Eric Wustrow∗ ∗University of Colorado Boulder, fian.martiny, [email protected] yBoston University, [email protected] zGeorge Washington University, [email protected] xU.S. Naval Avademy, [email protected] Abstract—The Signal messaging service recently deployed a confidential support [25]. In these cases, merely knowing to sealed sender feature that provides sender anonymity by crypto- whom Alice is communicating combined with other contextual graphically hiding a message’s sender from the service provider. information is often enough to infer conversation content with- We demonstrate, both theoretically and empirically, that this out reading the messages themselves. Former NSA and CIA one-sided anonymity is broken when two parties send multiple director Michael Hayden succinctly illustrated this importance messages back and forth; that is, the promise of sealed sender of metadata when he said the US government “kill[s] people does not compose over a conversation of messages. Our attack is in the family of Statistical Disclosure Attacks (SDAs), and is made based on metadata” [29]. particularly effective by delivery receipts that inform the sender Signal’s recent sealed sender feature aims to conceal this that a message has been successfully delivered, which are enabled metadata by hiding the message sender’s identity. Instead of by default on Signal. We show using theoretical and simulation- based models that Signal could link sealed sender users in as seeing a message from Alice to Bob, Signal instead observes few as 5 messages. Our attack goes beyond tracking users via a message to Bob from an anonymous sender. -
How to Use Encryption and Privacy Tools to Evade Corporate Espionage
How to use Encryption and Privacy Tools to Evade Corporate Espionage An ICIT White Paper Institute for Critical Infrastructure Technology August 2015 NOTICE: The recommendations contained in this white paper are not intended as standards for federal agencies or the legislative community, nor as replacements for enterprise-wide security strategies, frameworks and technologies. This white paper is written primarily for individuals (i.e. lawyers, CEOs, investment bankers, etc.) who are high risk targets of corporate espionage attacks. The information contained within this briefing is to be used for legal purposes only. ICIT does not condone the application of these strategies for illegal activity. Before using any of these strategies the reader is advised to consult an encryption professional. ICIT shall not be liable for the outcomes of any of the applications used by the reader that are mentioned in this brief. This document is for information purposes only. It is imperative that the reader hires skilled professionals for their cybersecurity needs. The Institute is available to provide encryption and privacy training to protect your organization’s sensitive data. To learn more about this offering, contact information can be found on page 41 of this brief. Not long ago it was speculated that the leading world economic and political powers were engaged in a cyber arms race; that the world is witnessing a cyber resource buildup of Cold War proportions. The implied threat in that assessment is close, but it misses the mark by at least half. The threat is much greater than you can imagine. We have passed the escalation phase and have engaged directly into full confrontation in the cyberwar. -
Improving Signal's Sealed Sender
Improving Signal’s Sealed Sender Ian Martiny∗, Gabriel Kaptchuky, Adam Avivz, Dan Rochex, Eric Wustrow∗ ∗University of Colorado Boulder, fian.martiny, [email protected] yBoston University, [email protected] zGeorge Washington University, [email protected] xU.S. Naval Avademy, [email protected] Abstract—The Signal messaging service recently deployed a confidential support [25]. In these cases, merely knowing to sealed sender feature that provides sender anonymity by crypto- whom Alice is communicating combined with other contextual graphically hiding a message’s sender from the service provider. information is often enough to infer conversation content with- We demonstrate, both theoretically and empirically, that this out reading the messages themselves. Former NSA and CIA one-sided anonymity is broken when two parties send multiple director Michael Hayden succinctly illustrated this importance messages back and forth; that is, the promise of sealed sender of metadata when he said the US government “kill[s] people does not compose over a conversation of messages. Our attack is in the family of Statistical Disclosure Attacks (SDAs), and is made based on metadata” [29]. particularly effective by delivery receipts that inform the sender Signal’s recent sealed sender feature aims to conceal this that a message has been successfully delivered, which are enabled metadata by hiding the message sender’s identity. Instead of by default on Signal. We show using theoretical and simulation- based models that Signal could link sealed sender users in as seeing a message from Alice to Bob, Signal instead observes few as 5 messages. Our attack goes beyond tracking users via a message to Bob from an anonymous sender. -
A Framework for Identifying Host-Based Artifacts in Dark Web Investigations
Dakota State University Beadle Scholar Masters Theses & Doctoral Dissertations Fall 11-2020 A Framework for Identifying Host-based Artifacts in Dark Web Investigations Arica Kulm Dakota State University Follow this and additional works at: https://scholar.dsu.edu/theses Part of the Databases and Information Systems Commons, Information Security Commons, and the Systems Architecture Commons Recommended Citation Kulm, Arica, "A Framework for Identifying Host-based Artifacts in Dark Web Investigations" (2020). Masters Theses & Doctoral Dissertations. 357. https://scholar.dsu.edu/theses/357 This Dissertation is brought to you for free and open access by Beadle Scholar. It has been accepted for inclusion in Masters Theses & Doctoral Dissertations by an authorized administrator of Beadle Scholar. For more information, please contact [email protected]. A FRAMEWORK FOR IDENTIFYING HOST-BASED ARTIFACTS IN DARK WEB INVESTIGATIONS A dissertation submitted to Dakota State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Cyber Defense November 2020 By Arica Kulm Dissertation Committee: Dr. Ashley Podhradsky Dr. Kevin Streff Dr. Omar El-Gayar Cynthia Hetherington Trevor Jones ii DISSERTATION APPROVAL FORM This dissertation is approved as a credible and independent investigation by a candidate for the Doctor of Philosophy in Cyber Defense degree and is acceptable for meeting the dissertation requirements for this degree. Acceptance of this dissertation does not imply that the conclusions reached by the candidate are necessarily the conclusions of the major department or university. Student Name: Arica Kulm Dissertation Title: A Framework for Identifying Host-based Artifacts in Dark Web Investigations Dissertation Chair: Date: 11/12/20 Committee member: Date: 11/12/2020 Committee member: Date: Committee member: Date: Committee member: Date: iii ACKNOWLEDGMENT First, I would like to thank Dr. -
20141228-Spiegel-Overview on Internet Anonymization Services On
(C//REL) Internet Anonymity 2011 TOP SECRET//COMINT REL TO USA,FVEY Jt * (C//REL) What is Internet Anonymity? (U) Many Possible Meanings/Interpretations (S//REL) Simply Not Using Real Name for Email (S//REL) Private Forum with Unadvertised Existence (S//REL) Unbeatable Endpoint on Internet (S//REL) This Talk Concerns Endpoint Location (S//REL) The Network Address (IP Address) is Crucial (S//REL) It is Not Always Sufficient, However • (S//REL) Dynamic IP Address • (S//REL) Mobile Device TOP SECRET//COMINT REL TO USA,FVEY FT ^I^hHHPPI^^B äim f (C//REL) What is Internet Anonymity? (S//REL) Anonymity Is Not Simply Encryption (S//REL) Encryption Can Simply Hide Content (S//REL) Anonymity Masks the MetaData and hence association with user (S//SI//REL) Importance of MetaData to SIGINT post-2001 can not be overstated (S//REL) There is also anonymity specifically for publishing information (S//REL) Beyond the Scope of this Talk! (U) Anonymity is the antithesis of most business transactions (but encryption may be crucial) (U) Authentication for monetary exchange (U) Marketing wants to know customer well (U) The same goes for Taxing Authorities :-) TOP SECRET//COMINT REL TO USA,FVEY 3 A j. • " * (C//REL) Who Wants Internet ity2 Vm k m j®- * k (U) All Technology is Dual-Use - (U) Nuclear Weapon to Plug Oil Well - (U) Homicide by Hammer (U) Internet Anonymity for Good T - (U) Anonymous Surveys (Ex: Diseases) - (U) Human Rights Bloggers - (U) HUMINT Sources TOP SECRET//COMINT REL TO USA,FVEY 4 , A - Jt (C//REL) Who Wants Internet m •A w (U) Internet -
Torward: DISCOVERY, BLOCKING, and TRACEBACK of MALICIOUS TRAFFIC OVER Tor 2517
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. 10, NO. 12, DECEMBER 2015 2515 TorWard: Discovery, Blocking, and Traceback of Malicious Traffic Over Tor Zhen Ling, Junzhou Luo, Member, IEEE,KuiWu,Senior Member, IEEE, Wei Yu, and Xinwen Fu Abstract— Tor is a popular low-latency anonymous communi- I. INTRODUCTION cation system. It is, however, currently abused in various ways. OR IS a popular overlay network that provides Tor exit routers are frequently troubled by administrative and legal complaints. To gain an insight into such abuse, we designed Tanonymous communication over the Internet for and implemented a novel system, TorWard, for the discovery and TCP applications and helps fight against various Internet the systematic study of malicious traffic over Tor. The system censorship [1]. It serves hundreds of thousands of users and can avoid legal and administrative complaints, and allows the carries terabyte of traffic daily. Unfortunately, Tor has been investigation to be performed in a sensitive environment such abused in various ways. Copyrighted materials are shared as a university campus. An intrusion detection system (IDS) is used to discover and classify malicious traffic. We performed through Tor. The black markets (e.g., Silk Road [2], an comprehensive analysis and extensive real-world experiments to online market selling goods such as pornography, narcotics validate the feasibility and the effectiveness of TorWard. Our or weapons1) can be deployed through Tor hidden service. results show that around 10% Tor traffic can trigger IDS alerts. Attackers also run botnet Command and Control (C&C) Malicious traffic includes P2P traffic, malware traffic (e.g., botnet servers and send spam over Tor. -
Co-Pilot Learnings
DECEMBER 1, 2014 - JUNE 30, 2015 SUBMITTED TO: The Knight Foundation Knight Prototype Fund Grant PROJECT CONTACTS: Seamus Tuohy, Sr. Technologist and Risk Advisor Email: [email protected] Megan DeBlois, Program Coordinator Email: [email protected] 1 Table of Contents 1. Acknowledgements 2. About Internews 3. Executive Summary 3.0.1. Findings 3.0.2. Limitations 3.0.3. Recommendations 4. Research Approach 5. Major Findings 5.1. Adoption: Making Co-Pilot valuable to the trainer community 5.2. Adaptation: Ensuring the growth and long-term stability of Co-Pilot 6. Limitations 6.1. Duty of Care: Simulating hostile environments without causing trauma 7. Recommendations 7.1. Simulations: The creation and sharing of accurate reproductions of regional censorship 7.2. Context Appropriate: Supporting the diversity of training environments 7.3. Documentation: Removing trainer uncertainty 8. Conclusion 2 1. ACKNOWLEDGEMENTS The Co-Pilot project was made possible through funding from the Knight Foundation, and continuous support and cooperation of Chris Barr and Nina Zenni. Co-Pilot is a product of Internews' Internet and Communications Technology (ICT) program. Co- Pilot was designed by Seamus Tuohy (Sr. Technologist and Risk Advisor, ICT Programs) and Megan DeBlois (Program Coordinator, ICT Training Programs). Research implementation was led by Megan DeBlois. Technical development was led by Seamus Tuohy. We are indebted to the trainers and developers who volunteered their deep knowledge and critical feedback during the research phases of the project. For privacy reasons, we will not list all of your here. A special thanks to Internews' Nick Sera-Leyva for his insights as a trainer and his support with the trainer community We would also like to acknowledge the Internews management team, and specifically Jon Camfield for his technical review and inputs during the peer review processes, and his deep commitment during the development phase of the project. -
Monitoring the Dark Web and Securing Onion Services
City University of New York (CUNY) CUNY Academic Works Publications and Research Queensborough Community College 2017 Monitoring the Dark Web and Securing Onion Services John Schriner CUNY Queensborough Community College How does access to this work benefit ou?y Let us know! More information about this work at: https://academicworks.cuny.edu/qb_pubs/41 Discover additional works at: https://academicworks.cuny.edu This work is made publicly available by the City University of New York (CUNY). Contact: [email protected] Monitoring the Dark Web Schriner 1 John Schriner Monitoring the Dark Web Contrary to what one may expect to read with a title like Monitoring the Dark Web, this paper will focus less on how law enforcement works to monitor hidden web sites and services and focus more on how academics and researchers monitor this realm. The paper is divided into three parts: Part One discusses Tor research and how onion services work; Part Two discusses tools that researchers use to monitor the dark web; Part Three tackles the technological, ethical, and social interests at play in securing the dark web. Part One: Tor is Research-Driven Tor (an acronym for 'the onion router' now stylized simply 'Tor') is an anonymity network in which a user of the Tor Browser connects to a website via three hops: a guard node, a middle relay, and an exit node. The connection is encrypted with three layers, stripping a layer at each hop towards its destination server. No single node has the full picture of the connection along the circuit: the guard knows only your IP but not where the destination is; the middle node knows the guard and the exit node; the exit node knows only the middle node and the final destination. -
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 -
Dark Web Monitoring
Dark Web Monitoring: What You Should Know You may see ads for identity theft services claiming that they will look for your Social Security number, credit card numbers, or other personal information for sale on the “dark web.” Do you know what these services do if they find it? In a survey commissioned by Consumer Federation of America, 36 percent of people who have seen these “dark web monitoring” ads believed that these services could remove their personal information from the dark web, and 37 percent thought they could prevent the information that’s sold on the dark web from being used. In reality, neither is true! Here is what you need to know about the dark web, how identity theft services work, and what you can do if your personal information is in danger. What is the dark web? Picture the internet as an iceberg. The part above the water is the “surface web,” where you can find webpages using search engines such as Google or Bing. The part of the iceberg under the water is the “deep web.” Search engines won’t bring you to the pages here. This is where you are when you sign into your bank account online with your username and password. It’s where the content is beyond paywalls. It’s where you communicate with other people through social media, chat services and messaging platforms. The deep web also houses large databases and many other things. It is a significantly bigger chunk of the internet than the surface web. The “dark web” is a small part of the deep web. -
Exploration of Ultimate Dark Web Anonymization, Privacy, and Security Revanth S1, Praveen Kumar Pandey2 1, 2Department of MCA, Jain University
International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429 Volume 8 Issue IV Apr 2020- Available at www.ijraset.com Exploration of ultimate Dark Web Anonymization, Privacy, and Security Revanth S1, Praveen Kumar Pandey2 1, 2Department of MCA, Jain University Abstract: The ultimate Dark web will review the emerging research conducted to study and identify the ins and outs of the dark web. The world is facing a lot of issues day-by-day especially on the internet. Now I have a question here, do you think is working with the internet attains knowledge or it pretends to be a part of the business. Keep the business part aside, we all know that internet is a great tool for communication. Is internet is definitely giving privacy, safety and security. Does anyone have a brief idea about the dark web for all these queries we don’t have any accurate solution. Through this survey, I outlined some of the major concepts and their dependencies the primary usage of the dark web and some of the survey experiences are further documented in this paper. Keywords: Darkweb, Security, Anonymity, Privacy, Cryptocurrencies, Blockchains, Tails, Qubes, Tor network. I. INTRODUCTION The Internet is the world's strongest and widest power. Without the internet more than the world’s 85% of the tasks will get struggled because the earth is totally dependent on network chains. Internet helps in worlds most of the leading departments like Research Centres, Hospitals, Corporate Industries, Education Institutions etc., So, with this evergreen technology, we definitely need to think about our privacy and security as a most prior concern.