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World of Warcraft Online Manual
Game Experience May Change During Online Play WOWz 9/11/04 4:02 PM Page 2 Copyright ©2004 by Blizzard Entertainment. All rights reserved. The use of this software product is subject to the terms of the enclosed End User License Agreement. You must accept the End User License Agreement before you can use the product. Use of World of Warcraft, is subject to your acceptance of the World of Warcraft® Terms of Use Agreement. World of Warcraft, Warcraft and Blizzard Entertainment are trademarks or registered trademarks of Blizzard Entertainment in the U.S. and/or other countries.Windows and DirectX are trademarks or registered trademarks of Microsoft Corporation in the U.S. and/or other countries. Pentium is a registered trademark of Intel Corporation. Power Macintosh is a registered trademark of Apple Computer, Inc. Dolby and the double-D symbol are trademarks of Dolby Laboratory. Monotype is a trademark of Agfa Monotype Limited registered in the U.S. Patent and Trademark ® Office and certain other jurisdictions. Arial is a trademark of The Monotype Corporation registered in the U.S. Patent and Trademark Office and certain other jurisdictions. ITC Friz Quadrata is a trademark of The International Typeface Corporation which may be registered in certain jurisdictions. All other trademarks are the property of their respective owners. Uses high-quality DivX® Video. DivX® and the DivX® Video logo are trademarks of DivXNetworks, Inc. and are used under license. All rights reserved. AMD, the AMD logo, and combinations thereof are trademarks of Advanced Micro Devices, Inc All ATI product and product feature names and logos, including ATI, the ATI Logo, and RADEON are trademarks and / or registered trademarks of ATI Technologies Inc. -
TRUST, but VERIFY: WHY the BLOCKCHAIN NEEDS the LAW Kevin Werbach†
TRUST, BUT VERIFY: WHY THE BLOCKCHAIN NEEDS THE LAW Kevin Werbach† ABSTRACT The blockchain could be the most consequential development in information technology since the Internet. Created to support the Bitcoin digital currency, the blockchain is actually something deeper: a novel solution to the age-old human problem of trust. Its potential is extraordinary. Yet, this approach may not promote trust at all without effective governance. Wholly divorced from legal enforcement, blockchain-based systems may be counterproductive or even dangerous. And they are less insulated from the law’s reach than it seems. The central question is not how to regulate blockchains but how blockchains regulate. They may supplement, complement, or substitute for legal enforcement. Excessive or premature application of rigid legal obligations will stymie innovation and forego opportunities to leverage technology to achieve public policy objectives. Blockchain developers and legal institutions can work together. Each must recognize the unique affordances of the other system. DOI: https://doi.org/10.15779/Z38H41JM9N © 2018 Kevin Werbach. † Associate Professor of Legal Studies and Business Ethics, The Wharton School, University of Pennsylvania. Email: [email protected]. Thanks to Dan Hunter for collaborating to develop the ideas that gave rise to this Article, and to Sarah Light, Patrick Murck, and participants in the 2017 Lastowka Cyberlaw Colloquium and 2016 TPRC Conference for comments on earlier drafts. 488 BERKELEY TECHNOLOGY LAW JOURNAL [Vol. 33:487 -
AOL Offers Video Chat with No Log-In, Download 13 May 2011, by RACHEL METZ , AP Technology Writer
AOL offers video chat with no log-in, download 13 May 2011, By RACHEL METZ , AP Technology Writer In a move to become more competitive in the fast- AV's release comes two days after Microsoft Corp. growing field of video chat, the team behind AOL said it would pay $8.5 billion for popular Internet Inc.'s AIM instant messenger rolled out the first phone service Skype, which allows people to make version of a free video chat service on Thursday free and cheap voice and video calls. that doesn't require users to log in or download any software. ©2011 The Associated Press. All rights reserved. This material may not be published, broadcast, Called AV, the service was created as a way to rewritten or redistributed. have quick, easy video chats, Jason Shellen, a leader of the AIM team, said. Though there are plenty of other voice and video chat offerings available for computers and smartphones, AV is unlike many with its decision to eschew both logins and software downloads. In order to start a chat, a user gets a unique link from AV and sends it to friends. Once a friend with a webcam clicks on the link, a chat window will pop up on the screen and show live video of the user who started the chat session and any other participants. Up to four people can be involved in a chat at once, Shellen said. The service has several features, such as the ability to type messages to individual users while video chatting - to send a link to a webpage, for example. -
Massively Multiplayer Online Role Playing Game Chat Project
[Massively Multiplayer Online Role Playing Game Chat] 175 Lakeside Ave, Room 300A Phone: (802)865-5744 Fax: (802)865-6446 1/21/2016 http://www.lcdi.champlain.edu Disclaimer: This document contains information based on research that has been gathered by employee(s) of The Senator Patrick Leahy Center for Digital Investigation (LCDI). The data contained in this project is submitted voluntarily and is unaudited. Every effort has been made by LCDI to assure the accuracy and reliability of the data contained in this report. However, LCDI nor any of our employees make no representation, warranty or guarantee in connection with this report and hereby expressly disclaims any liability or responsibility for loss or damage resulting from use of this data. Information in this report can be downloaded and redistributed by any person or persons. Any redistribution must maintain the LCDI logo and any references from this report must be properly annotated. Contents Introduction ............................................................................................................................................................................ 2 Background: ........................................................................................................................................................................ 2 Purpose and Scope: ............................................................................................................................................................. 3 Research Questions: ........................................................................................................................................................... -
The Summarization of Technical Internet Relay Chats
Proceedings of the ACL conference. Ann Arbor, MI. July 2005. Digesting Virtual “Geek” Culture: The Summarization of Technical Internet Relay Chats Liang Zhou and Eduard Hovy University of Southern California Information Sciences Institute 4676 Admiralty Way Marina del Rey, CA 90292-6695 {liangz, hovy} @isi.edu used for analyzing the impact of virtual social in- Abstract teractions and virtual organizational culture on software/product development. This paper describes a summarization sys- The emergence of email thread discussions and tem for technical chats and emails on the chat logs as a major information source has Linux kernel. To reflect the complexity prompted increased interest in thread summariza- and sophistication of the discussions, they tion within the Natural Language Processing are clustered according to subtopic struc- (NLP) community. One might assume a smooth ture on the sub-message level, and imme- transition from text-based summarization to email diate responding pairs are identified and chat-based summarizations. However, chat through machine learning methods. A re- falls in the genre of correspondence, which re- sulting summary consists of one or more quires dialogue and conversation analysis. This mini-summaries, each on a subtopic from property makes summarization in this area even the discussion. more difficult than traditional summarization. In particular, topic “drift” occurs more radically than in written genres, and interpersonal and pragmatic 1 Introduction content appears more frequently. Questions about the content and overall organization of the sum- The availability of many chat forums reflects the mary must be addressed in a more thorough way formation of globally dispersed virtual communi- for chat and other dialogue summarization sys- ties. -
The Lightning Network - Deconstructed and Evaluated
The Lightning Network - Deconstructed and Evaluated Anti-Money Laundering (AML) and Anti-Terrorist Financing (ATF) professionals, especially those working in the blockchain and cryptocurrency environment, may have heard of the second layer evolution of Bitcoin's blockchain - the Lightning Network, (LN). This exciting new and rapidly deploying technology offers innovative solutions to solve issues around the speed of transaction times using bitcoin currently, but expandable to other tokens. Potentially however, this technology raises regulatory concerns as it arguably makes, (based on current technical limitations), bitcoin transactions truly anonymous and untraceable, as opposed to its current status, where every single bitcoin can be traced all the way back to its coinbase transaction1 on the public blockchain. This article will break down the Lightning Network - analyzing how it works and how it compares to Bitcoin’s current system, the need for the technology, its money laundering (ML) and terrorist financing (TF) risks, and some thoughts on potential regulatory applications. Refresher on Blockchain Before diving into the Lightning Network, a brief refresher on how the blockchain works - specifically the Bitcoin blockchain (referred to as just “Bitcoin” with a capital “B” herein) - is required. For readers with no knowledge or those wishing to learn more about Bitcoin, Mastering Bitcoin by Andreas Antonopoulos2 is a must read, and for those wishing to make their knowledge official, the Cryptocurrency Certification Consortium, (C4) offers the Certified Bitcoin Professional (CBP) designation.3 Put simply, the blockchain is a growing list of records that can be visualized as a series of blocks linked by chains. Each block contains specific information - in Bitcoin’s case, a list of transactions and their data, which includes the time, date, amount, and the counterparties4 of each transaction. -
A Social Graph Based Text Mining Framework for Chat Log Investigation
Digital Investigation 11 (2014) 349e362 Contents lists available at ScienceDirect Digital Investigation journal homepage: www.elsevier.com/locate/diin A social graph based text mining framework for chat log investigation * Tarique Anwar a, Muhammad Abulaish b, a Centre for Computing and Engineering Software Systems, Swinburne University of Technology, Melbourne, VIC 3122, Australia b Department of Computer Science, Jamia Millia Islamia (A Central University), Jamia Nagar, New Delhi 25, India article info abstract Article history: This paper presents a unified social graph based text mining framework to identify digital Received 15 February 2014 evidences from chat logs data. It considers both users' conversation and interaction data in Received in revised form 3 September 2014 group-chats to discover overlapping users' interests and their social ties. The proposed Accepted 13 October 2014 framework applies n-gram technique in association with a self-customized hyperlink- Available online 1 November 2014 induced topic search (HITS) algorithm to identify key-terms representing users' interests, key-users, and key-sessions. We propose a social graph generation technique to model users' Keywords: interactions, where ties (edges) between a pair of users (nodes) are established only if they Text mining Chat logs mining participate in at least one common group-chat session, and weights are assigned to the ties Digital forensics based on the degree of overlap in users' interests and interactions. Finally, we present Social graph generation three possible cyber-crime investigation scenarios and a user-group identification method Cyber crime investigation for each of them. We present our experimental results on a data set comprising 1100 chat logs of 11,143 chat sessions continued over a period of 29 months from January 2010 to May 2012. -
Mining Criminal Networks from Chat Log
2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology This is the preprint version. See IEEE for the final official version. Mining Criminal Networks from Chat Log Farkhund Iqbal Benjamin C. M. Fung Mourad Debbabi College of Information Technology CIISE CIISE Zayed University Concordia University Concordia University Abu Dhabi, United Arab Emirates Montreal, Canada H3G 1M8 Montreal, Canada H3G 1M8 Email: [email protected] Email: [email protected] Email: [email protected] Abstract—Cybercriminals exploit opportunities for anonymity and masquerade in web-based communication to conduct illegal activities such as phishing, spamming, cyber predation, cyber threatening, blackmail, and drug trafficking. One way to fight cybercrime is to collect digital evidence from online documents and to prosecute cybercriminals in the court of law. In this paper, we propose a unified framework using data mining and natural language processing techniques to analyze online messages for the purpose of crime investigation. Our framework takes the chat log from a confiscated computer as input, extracts the social networks from the log, summarizes chat conversations into topics, identifies the information relevant to crime investigation, and visualizes the knowledge for an investigator. To ensure that the implemented framework meets the needs of law enforcement officers in real-life investigation, we closely collaborate with the cybercrime unit of a law enforcement agency in Canada. Both the feedback from the law enforcement officers and experimental results suggest that the proposed chat log mining framework is effective for crime Fig. 1. Framework overview investigation. Index Terms—crime investigation; criminal networks; data level information, such as IPs, protocols, and path traveled mining; frequent patterns; topic mining. -
Detection of Child Exploiting Chats from a Mixed Chat Dataset As a Text Classification Task
Detection of child exploiting chats from a mixed chat dataset as a text classification task Md Waliur RahmanMiah John Yearwood Sid Kulkarni School of Science, Information School of Science, Information School of Science, Information Technology and Engineering Technology and Engineering Technology and Engineering University of Ballarat University of Ballarat University of Ballarat [email protected] [email protected] [email protected] medium increased the chance of some heinous acts Abstract which one may not commit in the real world. O’Connell (2003) informs that the Internet affords Detection of child exploitation in Internet greater opportunity for adults with a sexual interest chatting is an important issue for the protec- in children to gain access to children. Communica- tion of children from prospective online pae- tion between victim and predator can take place dophiles. This paper investigates the whilst both are in their respective real world homes effectiveness of text classifiers to identify but sharing a private virtual space. Young (2005) Child Exploitation (CE) in chatting. As the chatting occurs among two or more users by profiles this kind of virtual opportunist as ‘situ- typing texts, the text of chat-messages can be ational sex offenders’ along with the ‘classical sex used as the data to be analysed by text classi- offenders’. Both these types of offenders are taking fiers. Therefore the problem of identification the advantages of the Internet to solicit and exploit of CE chats can be framed as the problem of children. This kind of solicitation or grooming by text classification by categorizing the chat- the use of an online medium for the purpose of logs into predefined CE types. -
Forensic Acquisition of IMVU: a Case Study
Journal of Digital Forensics, Security and Law Volume 10 Number 4 Article 6 2015 Forensic Acquisition of IMVU: A Case Study Robert van Voorst National Police of the Netherlands M-Tahar Kechadi University College Dublin Nhien-An Le-Khac University College Dublin Follow this and additional works at: https://commons.erau.edu/jdfsl Part of the Computer Engineering Commons, Computer Law Commons, Electrical and Computer Engineering Commons, Forensic Science and Technology Commons, and the Information Security Commons Recommended Citation van Voorst, Robert; Kechadi, M-Tahar; and Le-Khac, Nhien-An (2015) "Forensic Acquisition of IMVU: A Case Study," Journal of Digital Forensics, Security and Law: Vol. 10 : No. 4 , Article 6. DOI: https://doi.org/10.15394/jdfsl.2015.1212 Available at: https://commons.erau.edu/jdfsl/vol10/iss4/6 This Article is brought to you for free and open access by the Journals at Scholarly Commons. It has been accepted for inclusion in Journal of Digital Forensics, Security and Law by an authorized administrator of (c)ADFSL Scholarly Commons. For more information, please contact [email protected]. Forensic Acquisition of IMVU: A Case Study JDFSL V10N4 FORENSIC ACQUISITION OF IMVU: A CASE STUDY Robert van Voorst National Police of the Netherlands Rotterdam, Netherlands [email protected] M-Tahar Kechadi, Nhien-An Le-Khac University College Dublin Dublin 4, Ireland {tahar.kechadi,an.lekhac}@ucd.ie ABSTRACT There are many applications available for personal computers and mobile devices that facilitate users in meeting potential partners. There is, however, a risk associated with the level of anonymity on using instant message applications, because there exists the potential for predators to attract and lure vulnerable users. -
DL 2-6 Frontmatter.Fm
Contents DISTANCE FEATURED ARTICLES LEARNING 1 INTRODUCTION TO THE ISSUE Les Moller, Guest Editor COLUMNS 3 THRIVING, NOT MERELY SURVIVING, WITH ENDS AND MEANS TECHNOLOGY: SOME GUIDELINES FOR Distance Education’s SUCCESSFUL DISTANCE LEARNING Role in University Glenn E. Snelbecker, Susan M. Miller, and Disaster Planning 31 —by Ryan Watkins Robert Zheng NEW MEDIA, 9 GETTING CONNECTED: IP-BASED NEW LEARNING VIDEOCONFERENCING IN K-12 SCHOOLS The Old Switcheroo 34 —by Craig Ullman Barbara B. Lockee, Deyu Hu, and John Burton AND FINALLY … 13 CHAT TRANSCRIPTS: ONCE THE CHAT IS Is the World Flat 44 OVER, IS IT REALLY OVER? —by Michael Simonson Jose A. Saldivar REPORTS FROM USDLA 17 THE EVOLUTION OF DISTANCE EDUCATION Another Year Ends as Monica W. Tracey and Rita C. Richey Another Year Begins 35 —by John G. Flores 22 IMPROVING ONLINE COURSES: WHAT IS USDLA Highlights 37 NTERACTION AND HY SE IT —by Deborah Harrison I W U ? Focus on Learning 39 Wilhelmina C. Savenye —by Paul Roitman Bardack USDLA Chapters Strive 29 SAVING LIVES WITH TELETRAUMA: VERMONT for Excellence 41 TRAUMA SURGEONS PROVIDE CONSULTATIVE —by Kris Phelps VBrick Expands the SERVICES TO RURAL COMMUNITIES USING Reach of Distance STATE-OF-THE-ART VIDEOCONFERENCING Learning 42 —by John G. Flores and TECHNOLOGY Michaelaker Craig Lynar Volume 2, Issue 6 Distance Learning i DISTANCE LEARNING EDITOR PURPOSE commitment to the advancement Michael Simonson Distance Learning, an official of education by serving as a Program Professor publication of the United States resource for practitioners and by Instructional Technology and Distance Distance Learning Association supporting them in their Education (USDLA), is sponsored by the professional self development. -
Bitcoin 2.0 – New Technologies and New Legal Impacts
October 16, 16, 2018 October RamdeRakesh – ProteumLLC Capital, –MinneJacob Lewis Bockius& Morgan, LLP ANDNEWIMPACTS LEGAL NEWTECHNOLOGIES BITCOIN2.0– © 2018 Morgan, Lewis & Bockius LLP Agenda • Introduction - A Brief Refresher on Bitcoin • Second Layer Solutions: – Lightning Network – Applicability of AML Laws – Extraterritoriality – Taxation – Potential Strategies • Digital Governance Strategies – Dash – Taxing and Spending – Ethereum and the DAO – EOS – On-Chain Dispute Ressolution • Business Assets on the Blockchain – Rakesh Ramde, Proteum Capital, LLC 2 INTRODUCTION AND REFRESHER ON BLOCKCHAIN A Blockchain Is: 1. A database, 2. that is distributed (not centralized), 3. whose data elements are immutable (unalterable), and 4. that is encrypted “At its simplest level, a blockchain is nothing much more than a fancy kind of database” - Blythe Masters, Digital Assets 4 Bitcoin Distributed Payment System • All participants (A-I) have sight of all transactions on A B the blockchain (and their C entire history) • Payments pass directly I between users, here A to F, D but are verified by other users (here, D, G, and I) • New transactions are H E broadcast to “miners” • When verified, the G F transaction is added to the (Bank of England Quarterly Bulletin 2014 Q3) blockchain history 5 Advantages and Disadvantages Advantages: Disadvantages: • Accessibility • Slow transaction rate / (potentially) high cost • Redundancy • High Energy Cost • Passive access • Lack of Privacy 6 SECOND LAYER SOLUTIONS – A DISCUSSION OF LIGHTNING NETWORK Second Layer Solutions • Developers need a way to scale if Bitcoin is to have widespread adoption. One so-called “second layer” solution is “Lightning Network.” 8 Lightning Network • In Lightning, two peers make a single transaction on the blockchain, each locking some amount of bitcoin in a “channel.” • The two parties can then trade back and forth so long as the net balance never exceeds the channel balance.