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You searched for subject:(Click Fraud). Showing records 1 – 9 of 9 total matches.

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University of Texas – Austin

1. Dave, Vacha Rajendra. Measuring, fingerprinting and catching click-spam in ad networks.

Degree: PhD, Computer Science, 2013, University of Texas – Austin

 Advertising plays a vital role in supporting free websites and smart- phone apps. Click-spam, i.e., fraudulent or invalid clicks on online ads where the user… (more)

Subjects/Keywords: Click-fraud; Click-spam; Advertising; Bots

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dave, V. R. (2013). Measuring, fingerprinting and catching click-spam in ad networks. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/25143

Chicago Manual of Style (16th Edition):

Dave, Vacha Rajendra. “Measuring, fingerprinting and catching click-spam in ad networks.” 2013. Doctoral Dissertation, University of Texas – Austin. Accessed August 13, 2020. http://hdl.handle.net/2152/25143.

MLA Handbook (7th Edition):

Dave, Vacha Rajendra. “Measuring, fingerprinting and catching click-spam in ad networks.” 2013. Web. 13 Aug 2020.

Vancouver:

Dave VR. Measuring, fingerprinting and catching click-spam in ad networks. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2013. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2152/25143.

Council of Science Editors:

Dave VR. Measuring, fingerprinting and catching click-spam in ad networks. [Doctoral Dissertation]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/25143


Universidade do Porto

2. Magalhães, João Miguel de Carvalho. Classificação de atributos através do ganho de informação para efeitos de reconhecimento de browsers.

Degree: 2010, Universidade do Porto

Tese de mestrado integrado. Engenharia Electrotécnica e de Computadores. Faculdade de Engenharia. Universidade do Porto. 2010 Advisors/Committee Members: Rossetti, Rosaldo José Fernandes, Fortuna, Pedro, Universidade do Porto. Faculdade de Engenharia.

Subjects/Keywords: Click Fraud; Reconhecimento de browsers

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APA (6th Edition):

Magalhães, J. M. d. C. (2010). Classificação de atributos através do ganho de informação para efeitos de reconhecimento de browsers. (Thesis). Universidade do Porto. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/59966

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Magalhães, João Miguel de Carvalho. “Classificação de atributos através do ganho de informação para efeitos de reconhecimento de browsers.” 2010. Thesis, Universidade do Porto. Accessed August 13, 2020. http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/59966.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Magalhães, João Miguel de Carvalho. “Classificação de atributos através do ganho de informação para efeitos de reconhecimento de browsers.” 2010. Web. 13 Aug 2020.

Vancouver:

Magalhães JMdC. Classificação de atributos através do ganho de informação para efeitos de reconhecimento de browsers. [Internet] [Thesis]. Universidade do Porto; 2010. [cited 2020 Aug 13]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/59966.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Magalhães JMdC. Classificação de atributos através do ganho de informação para efeitos de reconhecimento de browsers. [Thesis]. Universidade do Porto; 2010. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio-aberto.up.pt:10216/59966

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. COSTA, Rodrigo Alves. Uma abordagem para utilização de CAPTCHAs clicáveis para combater a Click Fraud .

Degree: 2010, Universidade Federal de Pernambuco

 O crescimento da indústria da anúncios online tem criado diversas novas oportunidades em termos de negócios na Internet, tais como conhecimento de marca e comércio… (more)

Subjects/Keywords: Anúncios online; Click fraud; CAPTCHAs; Autenticação

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APA (6th Edition):

COSTA, R. A. (2010). Uma abordagem para utilização de CAPTCHAs clicáveis para combater a Click Fraud . (Thesis). Universidade Federal de Pernambuco. Retrieved from http://repositorio.ufpe.br/handle/123456789/2444

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

COSTA, Rodrigo Alves. “Uma abordagem para utilização de CAPTCHAs clicáveis para combater a Click Fraud .” 2010. Thesis, Universidade Federal de Pernambuco. Accessed August 13, 2020. http://repositorio.ufpe.br/handle/123456789/2444.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

COSTA, Rodrigo Alves. “Uma abordagem para utilização de CAPTCHAs clicáveis para combater a Click Fraud .” 2010. Web. 13 Aug 2020.

Vancouver:

COSTA RA. Uma abordagem para utilização de CAPTCHAs clicáveis para combater a Click Fraud . [Internet] [Thesis]. Universidade Federal de Pernambuco; 2010. [cited 2020 Aug 13]. Available from: http://repositorio.ufpe.br/handle/123456789/2444.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

COSTA RA. Uma abordagem para utilização de CAPTCHAs clicáveis para combater a Click Fraud . [Thesis]. Universidade Federal de Pernambuco; 2010. Available from: http://repositorio.ufpe.br/handle/123456789/2444

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Louisville

4. Walgampaya, Chamila Kumara. Click fraud : how to spot it, how to stop it?.

Degree: PhD, 2011, University of Louisville

 Online search advertising is currently the greatest source of revenue for many Internet giants such as Google™, Yahoo!™, and Bing™. The increased number of specialized… (more)

Subjects/Keywords: Click fraud; Click bots; Data mining; Bloom filter; Machine learning; Baysian learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Walgampaya, C. K. (2011). Click fraud : how to spot it, how to stop it?. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/1499 ; https://ir.library.louisville.edu/etd/1499

Chicago Manual of Style (16th Edition):

Walgampaya, Chamila Kumara. “Click fraud : how to spot it, how to stop it?.” 2011. Doctoral Dissertation, University of Louisville. Accessed August 13, 2020. 10.18297/etd/1499 ; https://ir.library.louisville.edu/etd/1499.

MLA Handbook (7th Edition):

Walgampaya, Chamila Kumara. “Click fraud : how to spot it, how to stop it?.” 2011. Web. 13 Aug 2020.

Vancouver:

Walgampaya CK. Click fraud : how to spot it, how to stop it?. [Internet] [Doctoral dissertation]. University of Louisville; 2011. [cited 2020 Aug 13]. Available from: 10.18297/etd/1499 ; https://ir.library.louisville.edu/etd/1499.

Council of Science Editors:

Walgampaya CK. Click fraud : how to spot it, how to stop it?. [Doctoral Dissertation]. University of Louisville; 2011. Available from: 10.18297/etd/1499 ; https://ir.library.louisville.edu/etd/1499


Delft University of Technology

5. Hendriksen, H. (author). Streaming Fraud Detection on Session Based Data.

Degree: 2016, Delft University of Technology

Financial fraud is, within the banking world, a major source of expenses. Improving on timely detecting fraud is a constantly ongoing cat and mouse game… (more)

Subjects/Keywords: Process Mining; Real time; Fraud; Intrusion Detection; KDD '99; Click log

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hendriksen, H. (. (2016). Streaming Fraud Detection on Session Based Data. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:7c73ded2-1669-4f48-9865-5eddc3a20ab0

Chicago Manual of Style (16th Edition):

Hendriksen, H (author). “Streaming Fraud Detection on Session Based Data.” 2016. Masters Thesis, Delft University of Technology. Accessed August 13, 2020. http://resolver.tudelft.nl/uuid:7c73ded2-1669-4f48-9865-5eddc3a20ab0.

MLA Handbook (7th Edition):

Hendriksen, H (author). “Streaming Fraud Detection on Session Based Data.” 2016. Web. 13 Aug 2020.

Vancouver:

Hendriksen H(. Streaming Fraud Detection on Session Based Data. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2020 Aug 13]. Available from: http://resolver.tudelft.nl/uuid:7c73ded2-1669-4f48-9865-5eddc3a20ab0.

Council of Science Editors:

Hendriksen H(. Streaming Fraud Detection on Session Based Data. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:7c73ded2-1669-4f48-9865-5eddc3a20ab0


San Jose State University

6. Srivastava, Apoorva. REAL-TIME AD CLICK FRAUD DETECTION.

Degree: MS, Computer Science, 2020, San Jose State University

  With the increase in Internet usage, it is now considered a very important platform for advertising and marketing. Digital marketing has become very important… (more)

Subjects/Keywords: Digital marketing; Online advertising; Click fraud detection; Ad Spam; Real-time fraud detection; Artificial Intelligence and Robotics; Information Security

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Srivastava, A. (2020). REAL-TIME AD CLICK FRAUD DETECTION. (Masters Thesis). San Jose State University. Retrieved from https://scholarworks.sjsu.edu/etd_projects/916

Chicago Manual of Style (16th Edition):

Srivastava, Apoorva. “REAL-TIME AD CLICK FRAUD DETECTION.” 2020. Masters Thesis, San Jose State University. Accessed August 13, 2020. https://scholarworks.sjsu.edu/etd_projects/916.

MLA Handbook (7th Edition):

Srivastava, Apoorva. “REAL-TIME AD CLICK FRAUD DETECTION.” 2020. Web. 13 Aug 2020.

Vancouver:

Srivastava A. REAL-TIME AD CLICK FRAUD DETECTION. [Internet] [Masters thesis]. San Jose State University; 2020. [cited 2020 Aug 13]. Available from: https://scholarworks.sjsu.edu/etd_projects/916.

Council of Science Editors:

Srivastava A. REAL-TIME AD CLICK FRAUD DETECTION. [Masters Thesis]. San Jose State University; 2020. Available from: https://scholarworks.sjsu.edu/etd_projects/916


University of California – Santa Cruz

7. Dritsoula, Lemonia. Strategic Classification: A Game-Theoretic Approach.

Degree: Electrical Engineering, 2015, University of California – Santa Cruz

 Entities of physical presence have always been susceptible to attacks. Entities of online presence are more prone to cyberattacks, as the lack of local boundaries… (more)

Subjects/Keywords: Operations research; Electrical engineering; Computer science; ad spam; adversarial classification; click fraud; game theory

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APA (6th Edition):

Dritsoula, L. (2015). Strategic Classification: A Game-Theoretic Approach. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/0k5951dz

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dritsoula, Lemonia. “Strategic Classification: A Game-Theoretic Approach.” 2015. Thesis, University of California – Santa Cruz. Accessed August 13, 2020. http://www.escholarship.org/uc/item/0k5951dz.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dritsoula, Lemonia. “Strategic Classification: A Game-Theoretic Approach.” 2015. Web. 13 Aug 2020.

Vancouver:

Dritsoula L. Strategic Classification: A Game-Theoretic Approach. [Internet] [Thesis]. University of California – Santa Cruz; 2015. [cited 2020 Aug 13]. Available from: http://www.escholarship.org/uc/item/0k5951dz.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dritsoula L. Strategic Classification: A Game-Theoretic Approach. [Thesis]. University of California – Santa Cruz; 2015. Available from: http://www.escholarship.org/uc/item/0k5951dz

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rochester Institute of Technology

8. Donaldson, Jonathon. Anomaly-based botnet detection for 10 Gb/s networks.

Degree: Computer Science (GCCIS), 2007, Rochester Institute of Technology

 Current network data rates have made it increasingly difficult for cyber security specialists to protect the information stored on private systems. Greater throughput not only… (more)

Subjects/Keywords: 10 Gb/s; Anomaly; Botnet; Bots; Click fraud

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Donaldson, J. (2007). Anomaly-based botnet detection for 10 Gb/s networks. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/6476

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Donaldson, Jonathon. “Anomaly-based botnet detection for 10 Gb/s networks.” 2007. Thesis, Rochester Institute of Technology. Accessed August 13, 2020. https://scholarworks.rit.edu/theses/6476.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Donaldson, Jonathon. “Anomaly-based botnet detection for 10 Gb/s networks.” 2007. Web. 13 Aug 2020.

Vancouver:

Donaldson J. Anomaly-based botnet detection for 10 Gb/s networks. [Internet] [Thesis]. Rochester Institute of Technology; 2007. [cited 2020 Aug 13]. Available from: https://scholarworks.rit.edu/theses/6476.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Donaldson J. Anomaly-based botnet detection for 10 Gb/s networks. [Thesis]. Rochester Institute of Technology; 2007. Available from: https://scholarworks.rit.edu/theses/6476

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade do Minho

9. Festa, Paulo Sérgio de Almeida. Deteção e validação de comportamento desviante no combate à fraude em modelos de publicidade pay-per-click .

Degree: 2012, Universidade do Minho

 O modelo pay-per-click apresenta-se como um dos principais modelos de negócio que acautela a sustentabilidade financeira de vários serviços online (e.g. motores de busca e… (more)

Subjects/Keywords: Análise estatística; Comportamento desviante; Detecção de fraude; Mineração de dados; Pagamento por clique; Publicidade; Advertising; Data Mining; Fraud detection; Pay-per-click; Outlier detection; Statistical analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Festa, P. S. d. A. (2012). Deteção e validação de comportamento desviante no combate à fraude em modelos de publicidade pay-per-click . (Masters Thesis). Universidade do Minho. Retrieved from http://hdl.handle.net/1822/28285

Chicago Manual of Style (16th Edition):

Festa, Paulo Sérgio de Almeida. “Deteção e validação de comportamento desviante no combate à fraude em modelos de publicidade pay-per-click .” 2012. Masters Thesis, Universidade do Minho. Accessed August 13, 2020. http://hdl.handle.net/1822/28285.

MLA Handbook (7th Edition):

Festa, Paulo Sérgio de Almeida. “Deteção e validação de comportamento desviante no combate à fraude em modelos de publicidade pay-per-click .” 2012. Web. 13 Aug 2020.

Vancouver:

Festa PSdA. Deteção e validação de comportamento desviante no combate à fraude em modelos de publicidade pay-per-click . [Internet] [Masters thesis]. Universidade do Minho; 2012. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1822/28285.

Council of Science Editors:

Festa PSdA. Deteção e validação de comportamento desviante no combate à fraude em modelos de publicidade pay-per-click . [Masters Thesis]. Universidade do Minho; 2012. Available from: http://hdl.handle.net/1822/28285

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