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Tyler Moore - One of the best experts on this subject based on the ideXlab platform.

  • The E-Commerce Market for “Lemons”: Identification and Analysis of Websites Selling Counterfeit Goods
    2015
    Co-Authors: John Wadleigh, Jake Drew, Tyler Moore
    Abstract:

    We investigate the practice of websites selling counterfeit goods. We inspect web search results for 225 queries across 25 brands. We devise a binary classifier that predicts whether a given website is selling counterfeits by examining automatically extracted features such as Whois Information, pricing and website content. We then apply the classifier to results collected between January and August 2014. We find that, overall, 32 % of search results point to websites selling fakes. For ‘complicit ’ search terms, such as “replica rolex”, 39 % of the search results point to fakes, compared to 20 % for ‘in-nocent ’ terms, such as “hermes buy online”. Using a linear regres-sion, we find that brands with a higher street price for fakes have higher incidence of counterfeits in search results, but that brands who take active countermeasures such as filing DMCA requests experience lower incidence of counterfeits in search results. Fi-nally, we study how the incidence of counterfeits evolves over time, finding that the fraction of search results pointing to fakes remains remarkably stable. Categories and Subject Descriptors K.4.1 [Public Policy Issues]: Abuse and crime involving comput-er

  • the e commerce market for lemons identification and analysis of websites selling counterfeit goods
    The Web Conference, 2015
    Co-Authors: John Wadleigh, Jake Drew, Tyler Moore
    Abstract:

    We investigate the practice of websites selling counterfeit goods. We inspect web search results for 225 queries across 25 brands. We devise a binary classifier that predicts whether a given website is selling counterfeits by examining automatically extracted features such as Whois Information, pricing and website content. We then apply the classifier to results collected between January and August 2014. We find that, overall, 32% of search results point to websites selling fakes. For 'complicit' search terms, such as "replica rolex", 39% of the search results point to fakes, compared to 20% for 'innocent' terms, such as "hermes buy online". Using a linear regression, we find that brands with a higher street price for fakes have higher incidence of counterfeits in search results, but that brands who take active countermeasures such as filing DMCA requests experience lower incidence of counterfeits in search results. Finally, we study how the incidence of counterfeits evolves over time, finding that the fraction of search results pointing to fakes remains remarkably stable.

John Wadleigh - One of the best experts on this subject based on the ideXlab platform.

  • The E-Commerce Market for “Lemons”: Identification and Analysis of Websites Selling Counterfeit Goods
    2015
    Co-Authors: John Wadleigh, Jake Drew, Tyler Moore
    Abstract:

    We investigate the practice of websites selling counterfeit goods. We inspect web search results for 225 queries across 25 brands. We devise a binary classifier that predicts whether a given website is selling counterfeits by examining automatically extracted features such as Whois Information, pricing and website content. We then apply the classifier to results collected between January and August 2014. We find that, overall, 32 % of search results point to websites selling fakes. For ‘complicit ’ search terms, such as “replica rolex”, 39 % of the search results point to fakes, compared to 20 % for ‘in-nocent ’ terms, such as “hermes buy online”. Using a linear regres-sion, we find that brands with a higher street price for fakes have higher incidence of counterfeits in search results, but that brands who take active countermeasures such as filing DMCA requests experience lower incidence of counterfeits in search results. Fi-nally, we study how the incidence of counterfeits evolves over time, finding that the fraction of search results pointing to fakes remains remarkably stable. Categories and Subject Descriptors K.4.1 [Public Policy Issues]: Abuse and crime involving comput-er

  • the e commerce market for lemons identification and analysis of websites selling counterfeit goods
    The Web Conference, 2015
    Co-Authors: John Wadleigh, Jake Drew, Tyler Moore
    Abstract:

    We investigate the practice of websites selling counterfeit goods. We inspect web search results for 225 queries across 25 brands. We devise a binary classifier that predicts whether a given website is selling counterfeits by examining automatically extracted features such as Whois Information, pricing and website content. We then apply the classifier to results collected between January and August 2014. We find that, overall, 32% of search results point to websites selling fakes. For 'complicit' search terms, such as "replica rolex", 39% of the search results point to fakes, compared to 20% for 'innocent' terms, such as "hermes buy online". Using a linear regression, we find that brands with a higher street price for fakes have higher incidence of counterfeits in search results, but that brands who take active countermeasures such as filing DMCA requests experience lower incidence of counterfeits in search results. Finally, we study how the incidence of counterfeits evolves over time, finding that the fraction of search results pointing to fakes remains remarkably stable.

Jake Drew - One of the best experts on this subject based on the ideXlab platform.

  • The E-Commerce Market for “Lemons”: Identification and Analysis of Websites Selling Counterfeit Goods
    2015
    Co-Authors: John Wadleigh, Jake Drew, Tyler Moore
    Abstract:

    We investigate the practice of websites selling counterfeit goods. We inspect web search results for 225 queries across 25 brands. We devise a binary classifier that predicts whether a given website is selling counterfeits by examining automatically extracted features such as Whois Information, pricing and website content. We then apply the classifier to results collected between January and August 2014. We find that, overall, 32 % of search results point to websites selling fakes. For ‘complicit ’ search terms, such as “replica rolex”, 39 % of the search results point to fakes, compared to 20 % for ‘in-nocent ’ terms, such as “hermes buy online”. Using a linear regres-sion, we find that brands with a higher street price for fakes have higher incidence of counterfeits in search results, but that brands who take active countermeasures such as filing DMCA requests experience lower incidence of counterfeits in search results. Fi-nally, we study how the incidence of counterfeits evolves over time, finding that the fraction of search results pointing to fakes remains remarkably stable. Categories and Subject Descriptors K.4.1 [Public Policy Issues]: Abuse and crime involving comput-er

  • the e commerce market for lemons identification and analysis of websites selling counterfeit goods
    The Web Conference, 2015
    Co-Authors: John Wadleigh, Jake Drew, Tyler Moore
    Abstract:

    We investigate the practice of websites selling counterfeit goods. We inspect web search results for 225 queries across 25 brands. We devise a binary classifier that predicts whether a given website is selling counterfeits by examining automatically extracted features such as Whois Information, pricing and website content. We then apply the classifier to results collected between January and August 2014. We find that, overall, 32% of search results point to websites selling fakes. For 'complicit' search terms, such as "replica rolex", 39% of the search results point to fakes, compared to 20% for 'innocent' terms, such as "hermes buy online". Using a linear regression, we find that brands with a higher street price for fakes have higher incidence of counterfeits in search results, but that brands who take active countermeasures such as filing DMCA requests experience lower incidence of counterfeits in search results. Finally, we study how the incidence of counterfeits evolves over time, finding that the fraction of search results pointing to fakes remains remarkably stable.

Huiling Shi - One of the best experts on this subject based on the ideXlab platform.

  • research on privacy protection of Whois Information in dns
    2015
    Co-Authors: Wei Zhang, Wei Wang, Xinchang Zhang, Huiling Shi
    Abstract:

    Whois service allows people to ask the current registrant some Internet resources. Whois service has become an indispensable Information service in the DNS. Unfortunately, Whois Information is often available by the malicious third party. In this paper, we first analyzed the whole process of the Whois protocol. And then the process of the Whois privacy collection is analyzed through the clustering method. Several methods of protection of the Whois privacy are proposed in this paper. Through the experimental results it can be seen that the protection method can better protect the privacy of Whois Information in DNS.

Craiger J. Philip - One of the best experts on this subject based on the ideXlab platform.

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