Deep Web, Dark Web, Dark Net a Taxonomy of “Hidden” Internet

Total Page:16

File Type:pdf, Size:1020Kb

Deep Web, Dark Web, Dark Net a Taxonomy of “Hidden” Internet ADVANCE PUBLICATION Annals of Business Administrative Science https://doi.org/10.7880/abas.0200908a Received: September 8, 2020; accepted: October 16, 2020 Published in advance on J-STAGE: December 5, 2020 Deep Web, Dark Web, Dark Net: A Taxonomy of “Hidden” Internet Masayuki HATTAa) Abstract: Recently, online black markets and anonymous virtual currencies have become the subject of academic research, and we have gained a certain degree of knowledge about the dark web. However, as terms such as deep web and dark net, which have different meanings, have been used in similar contexts, discussions related to the dark web tend to be confusing. Therefore, in this paper, we discuss the differences between these concepts in an easy-to-understand manner, including their historical circumstances, and explain the technology known as onion routing used on the dark web. Keywords: anonymity, deep web, dark web, dark net, privacy a) Faculty of Economics and Management, Surugadai University. 698 Azu, Hanno, Saitama, Japan. [email protected] A version of this paper was presented at the ABAS Conference 2020 Summer (Hatta, 2020b). © 2020 Masayuki Hatta. This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. 1 Hatta Introduction In recent years, the term “dark web” has become popular. The dark web, i.e., a World Wide Web wherein your anonymity is guaranteed and one that cannot be accessed without using special software, was, until recently, of interest to only a few curious people. However, in 2011, the world’s largest online black market, Silk Road (Bolton, 2017), was established on the dark web; with the presence of virtual currencies, which incorporate the anonymity provided on the dark web (Todorof, 2019), it has become a topic of economic and business research. Words similar to “dark web” (such as “deep web” and “dark net”) are used in the same context, but they are completely different technical concepts; this leads to confusion. Deep Web Historically, among the three terms (“dark web,” “deep web,” and “dark net”), the term “deep web” was the first to emerge. Computer technician and entrepreneur, Michael K. Bergman, first used it in his white paper “The deep web: Surfacing hidden value” (Bergman, 2001). Bergman likened web searches to the fishing industry and stated that legacy search engines were nothing more than fishing nets being dragged along the surface of the sea, even though there is a lot of important information deep in the sea, where the nets do not reach. Therefore, he stated that, moving forward, it was important to reach deep areas as well. This was the advent of the deep web. Bergman stated that the deep web was 400–550 times larger than the normal web, and that the information found in the deep web was 1,000–2,000 times the quality of the normal web. The problem is that even now this is used in the context of the dark web. What Bergman (2001) first raised as detailed examples of the “deep” web were the National Oceanic and Atmospheric Administration (NOAA) and 2 Deep web, dark web, dark net United States Patent and Trademark Office (USPTO) data, JSTOR and Elsevier fee-based academic literature search services, and the eBay and Amazon electronic commerce sites; these are still referred to as the “deep web” today. In short, Bergman referred to the following as the deep web: (a) Special databases that could only be accessed within an organization (b) Sites with paywalls wherein content can only be partly seen or not seen at all without registration (c) Sites in which content is dynamically generated each time they are accessed (d) Pages that cannot be accessed without using that site’s search system (e) Electronic email and chat logs That is to say, it refers to a Web that normal search engines, such as Google, cannot edit or index. Incidentally, according to Bergman, in 1994, there were already people using the “invisible web,” in the sense that it could not be searched by a search engine. However, Bergman asserted that the deep web was just deep, and not “invisible,” i.e., it could be searched with innovations. The start-up that he was managing at that time was selling this very technology. Furthermore, following this, Google formed a separate agreement with the owners of databases and started the Google Books project with university libraries, becoming involved in “deep” field indexing; thus, in 20 years, the deep web—in the sense that Bergman used it—is considered to have shrunk considerably. In this manner, originally the “deep” in deep web was simply somewhere that was deep and difficult to web-crawl, and did not contain nuances of good or evil. Despite this, “deep” is a powerful word and, as will be described later, this has led the way in 3 Hatta entrenching the image associated with the dark web as something thick and murky. Dark Net The term “dark net” became popular at virtually the same time as the term “dark web” did. There is a hypothesis that this has been used since the 1970s and although even today, in concrete terms, an IP address that is not allocated to a host computer is referred to as the dark net, the trigger for it being used as a general term as it is now was in 2002 (published in 2003), when a paper was written by four engineers including Peter Biddle (he was working at Microsoft at that time), who called the dark net as the future of content distribution (Biddle, England, Peinado, & Willman, 2003). Sweeping the world at that time was the P2P file sharing service software Napster service (started in 1999) and Gnutella (released in 2000). Operation of File Rogue started at around the same time in Japan. There were fears of copyright infringement, and in the paper written as part of the research on Digital Rights Management (DRM) and copy protection (Biddle et al., 2003), the term “dark net” was clearly being used in the negative meaning of illegal activity. Biddle et al. (2003) broadly defined dark net as “a collection of networks and technologies used to share digital content” (Biddle et al., 2003, p. 155). Based on this, it can be summarized as follows. (1) This started with the manual carrying of physical media such as CDs, DVDs, and more recently, USB memory—the so-called “Sneakernet.” (2) With the spread of the Internet, files such as music files began to be stored on one server, giving birth to the “central server” model. However, if the central server were destroyed, that would be the end. 4 Deep web, dark web, dark net (3) Files or parts of files were shared on multiple servers using Napster or Gnutella and by the shared servers (peer) communicating together—a Peer to Peer (P2P) model (meaning that if only one point of the network was destroyed, the network as a whole would survive) appeared. This P2P model was realized on the existing physical network, using technology known as an overlay network that utilizes non-standard applications and protocols. Additionally, Biddle et al. (2003) noted that as Napster had a central server for searching, it could be controlled using that. Moreover, although Gnutella was completely distributed, the individual peers were not anonymous and you could learn their IP addresses, so it was possible to track them and hold them legally responsible. In this way, measures could be taken in regard to the P2P file sharing at the time, but it was predicted that a new dark net, where these weaknesses were overcome, would emerge. Biddle et al. (2003) considered that, even if protected, it could be widely diffused via the dark net, and that the dark net would continue to evolve. They reached the conclusion that DRM was fundamentally meaningless, and that to eradicate pirated versions, official versions also needed to have a reasonable price and be convenient for customers, as well as compete on the same ground. This pronouncement put the jobs of Biddle et al. at risk (Lee, 2017). However, considering that attempts at measures against piracy through copyright enforcement have continually failed, and that currently piracy is being put to the sword by the emergence of superior platforms, such as Netflix and Spotify, such pronouncements have proven to be correct. 5 Hatta Yet Another Dark Net: F2F Possibly due to the fact that dark net is an attractive name, around the same time as Biddle et al. (2003), the term “dark net” began to be used as a general term for a slightly different technology. This is called Friend-to-Friend (F2F), 1 and as this was implemented as Darknet mode by Freenet, which is one of the main types of dark web software (to be described later), this also became known as Darknet. In this sense, Darknet, or F2F, is a type of P2P network, and the user only directly connects with acquaintances (in many cases, they have met in real life and built up trust via a non-online route). A password or digital signature is used for authentication. The basic concept behind F2F is that a P2P overlay network is constructed over the existing relationships of trust between users. This is a method in Figure 1. Topology of Darknet. A participant with malicious intent (e.g., a red one) cannot easily understand the entire network. Source: the author. 1 The term F2Fitself was invented in the year 2000 (Bricklin, 2000). 6 Deep web, dark web, dark net Figure 2.
Recommended publications
  • Uila Supported Apps
    Uila Supported Applications and Protocols updated Oct 2020 Application/Protocol Name Full Description 01net.com 01net website, a French high-tech news site. 050 plus is a Japanese embedded smartphone application dedicated to 050 plus audio-conferencing. 0zz0.com 0zz0 is an online solution to store, send and share files 10050.net China Railcom group web portal. This protocol plug-in classifies the http traffic to the host 10086.cn. It also 10086.cn classifies the ssl traffic to the Common Name 10086.cn. 104.com Web site dedicated to job research. 1111.com.tw Website dedicated to job research in Taiwan. 114la.com Chinese web portal operated by YLMF Computer Technology Co. Chinese cloud storing system of the 115 website. It is operated by YLMF 115.com Computer Technology Co. 118114.cn Chinese booking and reservation portal. 11st.co.kr Korean shopping website 11st. It is operated by SK Planet Co. 1337x.org Bittorrent tracker search engine 139mail 139mail is a chinese webmail powered by China Mobile. 15min.lt Lithuanian news portal Chinese web portal 163. It is operated by NetEase, a company which 163.com pioneered the development of Internet in China. 17173.com Website distributing Chinese games. 17u.com Chinese online travel booking website. 20 minutes is a free, daily newspaper available in France, Spain and 20minutes Switzerland. This plugin classifies websites. 24h.com.vn Vietnamese news portal 24ora.com Aruban news portal 24sata.hr Croatian news portal 24SevenOffice 24SevenOffice is a web-based Enterprise resource planning (ERP) systems. 24ur.com Slovenian news portal 2ch.net Japanese adult videos web site 2Shared 2shared is an online space for sharing and storage.
    [Show full text]
  • Pairing-Based Onion Routing with Improved Forward Secrecy ∗
    Pairing-Based Onion Routing with Improved Forward Secrecy ∗ Aniket Kate Greg M. Zaverucha Ian Goldberg David R. Cheriton School of Computer Science University of Waterloo Waterloo, ON, Canada N2L 3G1 {akate,gzaveruc,iang}@cs.uwaterloo.ca Abstract This paper presents new protocols for onion routing anonymity networks. We define a provably secure privacy-preserving key agreement scheme in an identity-based infrastructure setting, and use it to forge new onion routing circuit constructions. These constructions, based on a user’s selection, offer immediate or eventual forward secrecy at each node in a circuit and require significantly less computation and communication than the telescoping mechanism used by Tor. Further, the use of the identity-based infrastructure also leads to a reduction in the required amount of authenticated directory information. Therefore, our constructions provide practical ways to allow onion routing anonymity networks to scale gracefully. Keywords: onion routing, Tor, pairing-based cryptography, anonymous key agreement, forward secrecy 1 Introduction Over the years, a large number of anonymity networks have been proposed and some have been implemented. Common to many of them is onion routing [RSG98], a technique whereby a message is wrapped in multiple layers of encryption, forming an onion. As the message is delivered via a number of intermediate onion routers (ORs), or nodes, each node decrypts one of the layers, and forwards the message to the next node. This idea goes back to Chaum [Cha81] and has been used to build both low- and high-latency communication networks. A common realization of an onion routing system is to arrange a collection of nodes that will relay traffic for users of the system.
    [Show full text]
  • Piracy Or Productivity: Unlawful Practices in Anime Fansubbing
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Aaltodoc Publication Archive Aalto-yliopisto Teknillinen korkeakoulu Informaatio- ja luonnontieteiden tiedekunta Tietotekniikan tutkinto-/koulutusohjelma Teemu Mäntylä Piracy or productivity: unlawful practices in anime fansubbing Diplomityö Espoo 3. kesäkuuta 2010 Valvoja: Professori Tapio Takala Ohjaaja: - 2 Abstract Piracy or productivity: unlawful practices in anime fansubbing Over a short period of time, Japanese animation or anime has grown explosively in popularity worldwide. In the United States this growth has been based on copyright infringement, where fans have subtitled anime series and released them as fansubs. In the absence of official releases fansubs have created the current popularity of anime, which companies can now benefit from. From the beginning the companies have tolerated and even encouraged the fan activity, partly because the fans have followed their own rules, intended to stop the distribution of fansubs after official licensing. The work explores the history and current situation of fansubs, and seeks to explain how these practices adopted by fans have arisen, why both fans and companies accept them and act according to them, and whether the situation is sustainable. Keywords: Japanese animation, anime, fansub, copyright, piracy Tiivistelmä Piratismia vai tuottavuutta: laittomat toimintatavat animen fanikäännöksissä Japanilaisen animaation eli animen suosio maailmalla on lyhyessä ajassa kasvanut räjähdysmäisesti. Tämä kasvu on Yhdysvalloissa perustunut tekijänoikeuksien rikkomiseen, missä fanit ovat tekstittäneet animesarjoja itse ja julkaisseet ne fanikäännöksinä. Virallisten julkaisujen puutteessa fanikäännökset ovat luoneet animen nykyisen suosion, jota yhtiöt voivat nyt hyödyntää. Yhtiöt ovat alusta asti sietäneet ja jopa kannustaneet fanien toimia, osaksi koska fanit ovat noudattaneet omia sääntöjään, joiden on tarkoitus estää fanikäännösten levitys virallisen lisensoinnin jälkeen.
    [Show full text]
  • Into the Reverie: Exploration of the Dream Market
    Into the Reverie: Exploration of the Dream Market Theo Carr1, Jun Zhuang2, Dwight Sablan3, Emma LaRue4, Yubao Wu5, Mohammad Al Hasan2, and George Mohler2 1Department of Mathematics, Northeastern University, Boston, MA 2Department of Computer & Information Science, Indiana University - Purdue University, Indianapolis, IN 3Department of Mathematics and Computer Science, University of Guam, Guam 4Department of Mathematics and Statistics, University of Arkansas at Little Rock, AK 5Department of Computer Science, Georgia State University, Atlanta, GA [email protected], [email protected], [email protected], [email protected], [email protected], [email protected], [email protected], [email protected] Abstract—Since the emergence of the Silk Road market in Onymous" in 2014, a worldwide action taken by law enforce- the early 2010s, dark web ‘cryptomarkets’ have proliferated and ment and judicial agencies aimed to put a kibosh on these offered people an online platform to buy and sell illicit drugs, illicit behaviors [5]. Law enforcement interventions such as relying on cryptocurrencies such as Bitcoin for anonymous trans- actions. However, recent studies have highlighted the potential for Onymous, along with exit scams and hacks, have successfully de-anonymization of bitcoin transactions, bringing into question shut down numerous cryptomarkets, including AlphaBay, Silk the level of anonymity afforded by cryptomarkets. We examine a Road, Dream, and more recently, Wall Street [6]. Despite these set of over 100,000 product reviews from several cryptomarkets interruptions, new markets have continued to proliferate. The collected in 2018 and 2019 and conduct a comprehensive analysis authors of [7] note that there appears to be a consistent daily of the markets, including an examination of the distribution of drug sales and revenue among vendors, and a comparison demand of about $500,000 for illicit products on the dark web, of incidences of opioid sales to overdose deaths in a US city.
    [Show full text]
  • Emerging Cyber Threats to the United States Hearing
    EMERGING CYBER THREATS TO THE UNITED STATES HEARING BEFORE THE SUBCOMMITTEE ON CYBERSECURITY, INFRASTRUCTURE PROTECTION, AND SECURITY TECHNOLOGIES OF THE COMMITTEE ON HOMELAND SECURITY HOUSE OF REPRESENTATIVES ONE HUNDRED FOURTEENTH CONGRESS SECOND SESSION FEBRUARY 25, 2016 Serial No. 114–55 Printed for the use of the Committee on Homeland Security Available via the World Wide Web: http://www.gpo.gov/fdsys/ U.S. GOVERNMENT PUBLISHING OFFICE 21–527 PDF WASHINGTON : 2016 For sale by the Superintendent of Documents, U.S. Government Publishing Office Internet: bookstore.gpo.gov Phone: toll free (866) 512–1800; DC area (202) 512–1800 Fax: (202) 512–2104 Mail: Stop IDCC, Washington, DC 20402–0001 COMMITTEE ON HOMELAND SECURITY MICHAEL T. MCCAUL, Texas, Chairman LAMAR SMITH, Texas BENNIE G. THOMPSON, Mississippi PETER T. KING, New York LORETTA SANCHEZ, California MIKE ROGERS, Alabama SHEILA JACKSON LEE, Texas CANDICE S. MILLER, Michigan, Vice Chair JAMES R. LANGEVIN, Rhode Island JEFF DUNCAN, South Carolina BRIAN HIGGINS, New York TOM MARINO, Pennsylvania CEDRIC L. RICHMOND, Louisiana LOU BARLETTA, Pennsylvania WILLIAM R. KEATING, Massachusetts SCOTT PERRY, Pennsylvania DONALD M. PAYNE, JR., New Jersey CURT CLAWSON, Florida FILEMON VELA, Texas JOHN KATKO, New York BONNIE WATSON COLEMAN, New Jersey WILL HURD, Texas KATHLEEN M. RICE, New York EARL L. ‘‘BUDDY’’ CARTER, Georgia NORMA J. TORRES, California MARK WALKER, North Carolina BARRY LOUDERMILK, Georgia MARTHA MCSALLY, Arizona JOHN RATCLIFFE, Texas DANIEL M. DONOVAN, JR., New York BRENDAN P. SHIELDS, Staff Director JOAN V. O’HARA, General Counsel MICHAEL S. TWINCHEK, Chief Clerk I. LANIER AVANT, Minority Staff Director SUBCOMMITTEE ON CYBERSECURITY, INFRASTRUCTURE PROTECTION, AND SECURITY TECHNOLOGIES JOHN RATCLIFFE, Texas, Chairman PETER T.
    [Show full text]
  • 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.
    [Show full text]
  • Pure Software in an Impure World? WINNY, Japan's First P2P Case
    20 U. OF PENNSYLVANIA EAST ASIA LAW REVIEW [Vol. 8 ! ! ! ! [This Page Intentionally Left Blank.] ! Pure Software in an Impure World? WINNY, Japan’s First P2P Case Ridwan Khan* “Even the purest technology has to live in an impure world.”1 In 2011, Japan’s Supreme Court decided its first contributory infringement peer-to-peer case, involving Isamu Kaneko and his popular file-sharing program, Winny. This program was used in Japan to distribute many copyrighted works, including movies, video games, and music. At the district court level, Kaneko was found guilty of contributory infringement, fined 1.5 million yen, and sentenced to one year in prison. However, the Osaka High Court reversed the district court and found for Kaneko. The High Court decision was then affirmed by the Supreme Court, which settled on a contributory infringement standard based on fault, similar to the standard announced by the United States Supreme Court in MGM Studios * The author would like to thank Professor David Shipley of the University of Georgia for his guidance in preparing this article. He would also like to thank Professor Paul Heald of the University of Illinois College of Law for additional help. Finally, the author expresses gratitude to Shinya Nochioka of the Ministry of Finance and Yuuka Kawazoe of Osaka Jogakuin for their friendship and advice on Japanese legal matters and language through the two years spent researching and writing this article. All mistakes, however, are the responsibility of the author. All translations of Japanese language materials into English are by the author. 1 Benjamin Wallace, The Rise and Fall of Bitcoin, WIRED MAGAZINE (Nov.
    [Show full text]
  • 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.
    [Show full text]
  • Combining Bittorrent with Darknets for P2P Privacy
    Combining Bittorrent with Darknets for P2P privacy Öznur Altintas Niclas Axelsson Abstract Over the last few years, traditional downloading of programs and application from a website has been replaced by another medium - peer to peer file sharing networks and programs. Peer- to-peer sharing has grown to tremendous level with many networks having more then millions of users to share softwareʼs, music files, videos and programs etc. However, this rapid growth leaves privacy concerns in its awake. P2P applications disable clients to limit the sharing of documents to a specific set of users and maintain their anonymity. Using P2P applications like BitTorrent exposes clientsʼ information to the other people. OneSwarm is designed to overcome this privacy problem. OneSwarm is a new P2P data sharing system that provides users with explicit, configurable control over their data. In this report, we will discuss briefly Darknets and privacy terms, and mainly how OneSwarm solves privacy problem while providing good performance. Introduction For a better understanding of this report, we begin with the explanation of some terms such as Darknets and privacy and brief background information underlies the idea of OneSwarm. Darknet—a collection of networks and technologies used to share digital content. The darknet is not a separate physical network but an application and protocol layer riding on existing networks. Examples of Darknets are peer-to-peer file sharing, CD and DVD copying and key or password sharing on email and newsgroups. When used to describe a file sharing network, the term is often used as a synonym for "friend-to-friend", both describing networks where direct connections are only established between trusted friends.
    [Show full text]
  • The Internet Organised Crime Threat Assessment (IOCTA) 2015
    The Internet Organised Crime Threat Assessment (IOCTA) 2015 2 THE INTERNET ORGANISED CRIME THREAT ASSESSMENT (IOCTA) 2015 THE INTERNET ORGANISED CRIME THREAT ASSESSMENT (IOCTA) 2015 3 TABLE OF FOREWORD 5 CONTENTS ABBREVIATIONS 6 EXECUTIVE SUMMARY 7 KEY FINDINGS 10 KEY RECOMMENDATIONS 12 SUGGESTED OPERATIONAL PRIORITIES 15 INTRODUCTION 16 MALWARE 18 ONLINE CHILD SEXUAL EXPLOITATION 29 PAYMENT FRAUD 33 SOCIAL ENGINEERING 37 DATA BREACHES AND NETWORK ATTACKS 40 ATTACKS ON CRITICAL INFRASTRUCTURE 44 CRIMINAL FINANCES ONLINE 46 CRIMINAL COMMUNICATIONS ONLINE 50 DARKNETS 52 BIG DATA, IOT AND THE CLOUD 54 THE GEOGRAPHICAL DISTRIBUTION OF CYBERCRIME 57 GENERAL OBSERVATIONS 62 APPENDICES 67 A1. THE ENCRYPTION DEBATE 67 A2. AN UPDATE ON CYBER LEGISLATION 70 A3. COMPUTER CRIME, FOLLOWED BY CYBERCRIME FOLLOWED BY …. ROBOT AND AI CRIME? 72 4 THE INTERNET ORGANISED CRIME THREAT ASSESSMENT (IOCTA) 2015 FOREWORD These include concrete actions under the three main mandated Threat Assessment (IOCTA), the annual presentation of the areas – child sexual exploitation, cyber attacks, and payment I am pleased to present the 2015 Internet Organised Crime fraud – such as targeting certain key services and products Centre (EC3). offered as part of the Crime-as-a-Service model, addressing the cybercrime threat landscape by Europol’s European Cybercrime growing phenomenon of live-streaming of on-demand abuse of children, or targeted actions with relevant private sector partners ofUsing cybercrime the 2014 for report the asperiod a baseline, under this consideration. assessment Itcovers offers the a cross-cutting crime enablers such as bulletproof hosting, illegal viewkey developments, predominantly changes from a lawand enforcement emerging threats perspective in the based field tradingagainst onlinesites on payment Darknets fraud.
    [Show full text]
  • Machine-To-Machine Communication in Rural Conditions: Realizing Kasadakanet
    Machine-to-machine communication in rural conditions: Realizing KasadakaNet Fahad Ali VU Amsterdam [email protected] Supervised by Victor de Boer ABSTRACT the explored concepts is using Semantic Web technologies Contextual constraints play an important role in ICT for De- to facilitate knowledge sharing in rural areas (Gu´eret et al., velopment (ICT4D) projects. These ICT4D projects include 2011). those whose goal is to enable information and knowledge sharing in rural areas while keeping constraints such as lack One of the resulting products that came out of this research of electricity and technological infrastructure or (technical) is the Kasadaka2, a low-resource Raspberry Pi-based device illiteracy of end-users in mind. The Kasadaka project offers that provides an infrastructure on which voice-based appli- a solution for locals in rural areas in Sub-Saharan Africa to cations can be built and deployed locally. These applica- share knowledge. Due to a lack of technological infrastruc- tions for the Kasadaka are usually custom-built for specific ture, networks and internet connections are often not avail- needs and use cases. New applications can also be created able. Therefore, many ICT implementations in those areas fairly easily, making the platform ideal for rapid prototyping are not able to share data among each other. This paper (Baart, 2016). Essentially, these Kasadaka's are deployed on explores the possibilities of a machine to machine communi- a one-per-village basis, giving each village access to its own cation method to enable information sharing between geo- little piece of technology that facilitates local information graphically distributed devices.
    [Show full text]
  • Deep Web Search Techniques
    Deep Web Search Techniques Kimberly Jackson, STEM Librarian (2020) U S I N G A S E A R C H E N G I N E ADVANCED OPERATORS These operators work with your keywords in Google searches to locate websites that will be more reliable and relevant to your topic. A D V A N C E D O P E R A T O R S FILETYPE: Using this operator will help you find specific file types on the web such as pdf, ppt, xls, jpeg TO USE keyword filetype:ppt C L I C K H E R E T O S E E T H E S E A R C H A D V A N C E D O P E R A T O R S RELATED: This operator will help you find websites that are related in subject/topic to one that you have already found. TO USE related: URL C L I C K H E R E T O S E E T H E S E A R C H A D V A N C E D O P E R A T O R S This operator fill in* blank spaces in your searching, such as for song lyrics or a quote where you can’t remember all the words. TO USE Replace words in your search with an asterisk C L I C K H E R E T O S E E T H E S E A R C H A D V A N C E D O P E R A T O R S ALLINTEXT: ALLINTITLE: ALLINURL: These three operators are similar in that they tell Google where to look for keywords within a website.
    [Show full text]