113 research outputs found

    Online child sexual exploitation: a new MIS challenge

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    © 2021, Association for Information Systems. All rights reserved. This paper deals with the difficult yet increasingly important MIS phenomenon of online child sexual exploitation (online CSE). Through the use of secondary and publicly available data from the Federal Bureau of Investigation, as well as primary data from a cybercrime police unit in the United Kingdom, this study takes a grounded theory approach and organizes the role that technologies and social actors play in shaping online CSE. The paper contributes to IS theory by providing a consolidated model for online CSE, which we call the technology and imagery dimensions model. This model combines the staging of the phenomenon and the key dimensions that depict how the use of technology and imagery both fuels and defuses the phenomenon. In informing the construction of the model, the paper extracts, organizes, and generalizes the affordances of technology and discusses the role of information systems in detecting online CSE

    Cloud Forensics Investigation: Tracing Infringing Sharing of Copyrighted Content in Cloud

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    Cloud Computing is becoming a significant technology trend nowadays, but its abrupt rise also creates a brand new front for cybercrime investigation with various challenges. One of the challenges is to track down infringing sharing of copyrighted content in cloud. To solve this problem, we study a typical type of content sharing technologies in cloud computing, analyze the challenges that the new technologies bring to forensics, formalize a procedure to get digital evidences and obtain analytical results based on the evidences to track down illegal uploader. Furthermore, we propose a reasoning model based on the probability distribution in a Bayesian Network to evaluate the analytical result of forensics examinations. The proposed method can accurately and scientifically track down the origin infringing content uploader and owner. Keywords: cloud forensics, peer to peer, file sharing, tracking, CloudFron

    iCOP:live forensics to reveal previously unknown criminal media on P2P networks

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    The increasing levels of criminal media being shared in peer-to-peer (P2P) networks pose a significant challenge to law enforcement agencies. One of the main priorities for P2P investigators is to identify cases where a user is actively engaged in the production of child sexual abuse (CSA) media – they can be indicators of recent or on-going child abuse. Although a number of P2P monitoring tools exist to detect paedophile activity in such networks, they typically rely on hash value databases of known CSA media. As a result, these tools are not able to adequately triage the thousands of results they retrieve, nor can they identify new child abuse media that are being released on to a network. In this paper, we present a new intelligent forensics approach that incorporates the advantages of artificial intelligence and machine learning theory to automatically flag new/previously unseen CSA media to investigators. Additionally, the research was extensively discussed with law enforcement cybercrime specialists from different European countries and Interpol. The approach has been implemented into the iCOP toolkit, a software package that is designed to perform live forensic analysis on a P2P network environment. In addition, the system offers secondary features, such as showing on-line sharers of known CSA files and the ability to see other files shared by the same GUID or other IP addresses used by the same P2P client. Finally, our evaluation on real CSA case data shows high degrees of accuracy, while hands-on trials with law enforcement officers demonstrate the toolkit’s complementarity to extant investigative workflows

    iCOP: Automatically Identifying New Child Abuse Media in P2P Networks

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    The increasing levels of child sex abuse (CSA) media being shared in peer-to-peer (P2P) networks pose a significant challenge for law enforcement agencies. Although a number of P2P monitoring tools to detect offender activity in such networks exist, they typically rely on hash value databases of known CSA media. Such an approach cannot detect new or previously unknown media being shared. Conversely, identifying such new previously unknown media is a priority for law enforcement - they can be indicators of recent or on-going child abuse. Furthermore, originators of such media can be hands-on abusers and their apprehension can safeguard children from further abuse. The sheer volume of activity on P2P networks, however, makes manual detection virtually infeasible. In this paper, we present a novel approach that combines sophisticated filename and media analysis techniques to automatically flag new previously unseen CSA media to investigators. The approach has been implemented into the iCOP toolkit. Our evaluation on real case data shows high degrees of accuracy while hands-on trials with law enforcement officers highlight iCOP's usability and its complementarity to existing investigative workflows

    Towards an Overregulated Cyberspace – Criminal Law Perspective

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    The central thesis of the paper is that some criminal law solutions and responses by criminal justice systems to cybersecurity threats across Europe and the USA raise substantial public policy and human rights concerns. The thesis is explained by presenting the criminal justice systems’ reactions to cybercrime as they are manifested in cybercrime prevention strategies (for instance in data retention regulation and in the changed nature of cybercrime policing), substantive criminal law solutions (for instance with incrimination of mere illegal access) and criminal procedure possibilities that are granting law enforcement impressive powers (for instance with on-line searches and seizures). These changes are heading towards an overregulated cyberspace

    Perspectives on the capacity of the Canadian police system to respond to "child pornography" on the internet

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    The Internet, its affordability, accessibility, and anonymity provide new venues where child exploitation crimes have increased. An exponential rise in the exchange of images of sexual abuse, commonly referred to as ‘child pornography’, has occurred. The purpose of this major paper was to explore this phenomenon within an international context, and assess the capacity of Canadian law enforcement (national and municipal) to respond. In order to do so a survey was sent to police departments across Canada, to have officers identify the challenges they faced in responding to images of child abuse on the Internet, and to solicit officers’ general opinions on this issue. The research resulted in five key findings that implied that existing capacity gaps were rooted in a lack of applied or ratified international agreements and commitments, a failure of system interoperability, a lack of effective private-public partnerships, and the weaknesses in current Canadian legislation, particular to mandated reporting of suspicious content (which is now under review). Finally, a lack of appropriate, accessible support and training for police was identified. Informed by the research, the author makes several recommendations

    X-Vine: Secure and Pseudonymous Routing Using Social Networks

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    Distributed hash tables suffer from several security and privacy vulnerabilities, including the problem of Sybil attacks. Existing social network-based solutions to mitigate the Sybil attacks in DHT routing have a high state requirement and do not provide an adequate level of privacy. For instance, such techniques require a user to reveal their social network contacts. We design X-Vine, a protection mechanism for distributed hash tables that operates entirely by communicating over social network links. As with traditional peer-to-peer systems, X-Vine provides robustness, scalability, and a platform for innovation. The use of social network links for communication helps protect participant privacy and adds a new dimension of trust absent from previous designs. X-Vine is resilient to denial of service via Sybil attacks, and in fact is the first Sybil defense that requires only a logarithmic amount of state per node, making it suitable for large-scale and dynamic settings. X-Vine also helps protect the privacy of users social network contacts and keeps their IP addresses hidden from those outside of their social circle, providing a basis for pseudonymous communication. We first evaluate our design with analysis and simulations, using several real world large-scale social networking topologies. We show that the constraints of X-Vine allow the insertion of only a logarithmic number of Sybil identities per attack edge; we show this mitigates the impact of malicious attacks while not affecting the performance of honest nodes. Moreover, our algorithms are efficient, maintain low stretch, and avoid hot spots in the network. We validate our design with a PlanetLab implementation and a Facebook plugin.Comment: 15 page

    Delitos relacionados con la pornografía infantil: tipología penal, formas de comisión y obstáculos para su investigación en el derecho argentino

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    El presente trabajo analiza el fenomeno de la pornografía infantil por internet, su recepción legislativa y la problematica de su investigación en el derecho argentinoSociedad Argentina de Informática e Investigación Operativa (SADIO

    Delitos relacionados con la pornografía infantil: tipología penal, formas de comisión y obstáculos para su investigación en el derecho argentino

    Get PDF
    El presente trabajo analiza el fenomeno de la pornografía infantil por internet, su recepción legislativa y la problematica de su investigación en el derecho argentinoSociedad Argentina de Informática e Investigación Operativa (SADIO
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