Addressing Practical Challenges for Anomaly Behavior Detection in Online Bet Platforms.
Engineering for the Information Society and Sustainable Development
Borja Sanz; Iker Pastor
D4K (Deusto for Knowledge) in collaboration with EKASA.
Candidates should have a 1st class degree in computer science, electronic engineering, mathematics or a closely related discipline, with experience and interest in machine learning and computer graphics. Excellent programming skills are required. Excellent written and oral communication skills in English.
- Information Sciences and Engineering (ENG)
EKASA’s objective has always been to socialise the sports bet in such a way that it would be a recreational activity and one of shared enjoyment. To this end, great emphasis has been placed on responsible gambling, carrying out a series of multidisciplinary measures aimed at maintaining the person’s activity concerning the games within healthy parameters.
The challenge of this project is to create new ways to modelizing users behaviour to identify prevent problematic situations and apply counter-measures to minimize their impact. This research project to look for and help people who behavioural pre-problematic signs to detect whether their use of social bets generates non-social situations or behaviours.
The project will develop new algorithms and techniques to identify and categorize these behaviour. This categorization would make it possible to detect possible compulsive or inappropriate uses and would allow a series of recommendations to be offered to users regarding their interaction with the terminals, thus encouraging responsible gambling. This categorization also allows detecting malicious behaviour and users suspected of crooked gambling,
On the other hand, privacy and trust are the key topics on which the entire digital economy should be based. Therefore, security and privacy are at the heart of the project. To this end, new anonymisation techniques will be developed that do not impair the capacity of the data to represent reality.
EXCELLENCE OF THE HOST RESEARCH UNIT
– Laorden, C., Galán-García, P., Santos, I., Sanz, B., Nieves, J., Bringas, P. G., & Gómez Hidalgo, J. M. (2014). Negobot: Detecting paedophile activity with a conversational agent based on game theory. Logic Journal of IGPL, 23(1), 17-30.
– Laorden, C., Ugarte-Pedrero, X., Santos, I., Sanz, B., Nieves, J., & Bringas, P. G. (2014). Study on the effectiveness of anomaly detection for spam filtering. Information Sciences, 277, 421-444.
– Sanz, B., Nieves, J., Laorden, C., Santos, I., & Bringas, P. G. (2013). ONLINE SEARCHES: from information recovery to knowledge generation. DYNA 88 (4), 392-394
– Lorido-Botran, T., Huerta, S., Tomás, L., Tordsson, J., & Sanz, B. (2017). An unsupervised approach to online noisy-neighbor detection in cloud data centers. Expert Systems with Applications, 89, 188-204.
– Bilbao-Jayo, A., & Almeida, A. (2018). Automatic political discourse analysis with multi-scale convolutional neural networks and contextual data. International Journal of Distributed Sensor Networks, 14(11), 1550147718811827.
– DANTE: Detecting and analysing terrorist-related online contents and financing activities-
– BEHAVE: Design and development of a system to identify the behavior of users in order to – detect possible compulsive or inappropriate uses in real time.
– PERFIL: Design and development of a Big Data system for automatic classification of the ability of users to detect fraud in bets.
– SocialSpam: Tracking and filtering of personalized spam on social media through dissemination and content analysis models INTERDISCIPLINARY COLLABORATION
The hosting team is a group integrated by research staff that has expertise with collaborating with other research areas. For example, we are currently working in collaboration with the Faculty of Psychology and Education of the University of Deusto to detect gambling problems in the users of EKASA platform. During this project, we started to identify conduct patterns that reflects real gambling problems. The goal of the project is to prevent the evolution of ths this type of problems beforehand.
On the other hand, there are under evaluation projects with the Center of Applied Ethics of the university, that approaches the problem of trust in a straightforward and precise sequence of steps looking at a variety of actual trust problems, collecting citizens answers, locating biases in public media discourse and suggesting solutions.
It will be decided together with the candidate according to his/her specific research situation, thesis proposal and the interdisciplinary aspects of the research project.
This project includes both aspects of the field of computer science and of the study of human behaviour, given that it is the behaviour to be modelled. It will also be necessary to study in depth the different biases that affect human beings and that affect decision making. For this reason, this project will have to deal with aspects of computer science, psychology and social sciences. INTERNATIONAL COLLABORATION
The University of Deusto has collaborators in the academic and industrial fields in multiple regions of Europe and Spain. In particular, D4K research group maintains relationships with various research groups in Europe, like Secure Business Austria, member of the international knowledge network iSecLab, a group with a high degree of impact on computer security with researchers of the highest level in the area such as Christopher Kruegel, Giovanni Vigna, Ulrich Bayer or Ergin Kirda. Besides has contacts with the University of Bergamo, to which two of them have attended. In addition, the director of his security department, Stefano Paraboschi, was co-director of Dr Pablo García Bringas’ thesis. He also collaborates in the organization of international congresses with the TU University of Vienna through A Min Tjoa, Gabriella and Roland Wagner; and with the Dipartimento di Tecnologie Informazione of the University of Milan directed by Pierangela Samarati. DeustoTech also collaborates closely with large leading and pioneering companies in various sectors such as Telefónica or Philips, or innovative research centres, like CERTH (Hellas), Fondazione Bruno Kessler (Italy), VICESSE (Austria), or UNiversity of Granada (Spain).
It will be decided together with the candidate according to his/her specific research situation, thesis proposal and the interdisciplinary aspects of the research project. INTERSECTORAL COLLABORATION
Artificial intelligence is not merely a new technology but a key driver of economic transformation. Thus, it is necessary to include all stakeholders to ensure that the evolution of the AI system is being done in the right way. To achieve this goal, it is also essential an intense collaboration with the industry and social actors.
Deusto includes a lot of collaboration with several key actors in the industry (for example, Mercedes, Sidenor, Vidrala or Progenika (a Griffols company)) but also in the humanitarian sector (for example, Cruz Roja) or other academic leaders (for example University of Granada or Centre of Research and Technology Hellas (CERTH)).
Industrial doctorate is not envisaged since the programme requires the researcher to be hired by the University of Deusto. However, the industrial partner will be involved in the research and training of the PhD student since the beginning. IMPACT
Nowadays, the accumulation and monetization of human data is an industry. The data product is a new asset, and you can create economic value from this new algorithmic transformation of the users’ data (it could be 203 billion industry in 2020). To do this, there is a science of extracting useful insights from user behaviour in order to predict the next click (click on the advertising banner, next song or next video). The question now is how we balance the high performance of these systems dealing with the privacy and ethics fallout.
This project seeks to mitigate one of the problems that is causing the launch of different online betting platforms. Due to the increase in the popularity of these platforms, there have been increased cases in which users suffer disorders in the behavior when using these platforms. These problems have had a great impact both on their lives and on society in general. This project seeks to deepen the detection of these behaviors in order to minimize this impact. INNOVATION
The ethics of artificial intelligence are of growing importance. Artificial intelligence (AI) is changing societies and economies around the world. Principles like privacy protection, the fairness, transparency, accountability and explainability (among other aspects, like legal and regulatory compliance) will be critical elements that will define the way that these systems will impact in the society. Artificial intelligence holds enormous potential to improve the community. While we are building a “general AI” that replicates human knowledge, there are numerous “specific AI” technologies which are already incredibly sophisticated at handling specific tasks (for example, Medical AI technologies and autonomous vehicles). But all these benefits come with risks. All these systems can limit issues associated with human bias. To mitigate these problems, we have to use the existing ethics in context, not reinvented, and it is necessary to create systems that ensure that fit with all the principles beforementioned. To ensure these new principles is essential to understand how all these systems work, how they make their predictions, but also understand what the social and ethical implications of the outputs of these systems are. It will be necessary to develop countermeasures to remove (or at least mitigate) the problems. INCLUSION
One of the University of Deusto’s key duties is to be fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. DeustoTech, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.
Deusto is committed to social justice and inclusion. It recognises gender equality as a key driver for sustainable development, inclusive growth and academic opportunity for women. Moreover, to seek real inclusion for people with specific support needs, the project will ensure equal rights and opportunities with respect to access to the programme and the acquisition of skills expected to achieve the PhD.
– Laorden, C., Galán-García, P., Santos, I., Sanz, B., Nieves, J., Bringas, P. G., & Gómez Hidalgo, J. M. (2014). Negobot: Detecting paedophile activity with a conversational agent based on game theory. Logic Journal of IGPL, 23(1), 17-30.
– Laorden, C., Ugarte-Pedrero, X., Santos, I., Sanz, B., Nieves, J., & Bringas, P. G. (2014). Study on the effectiveness of anomaly detection for spam filtering. Information Sciences, 277, 421-444.
– Sanz, B., Nieves, J., Laorden, C., Santos, I., & Bringas, P. G. (2013). ONLINE SEARCHES: from information recovery to knowledge generation. DYNA 88 (4), 392-394
– Lorido-Botran, T., Huerta, S., Tomás, L., Tordsson, J., & Sanz, B. (2017). An unsupervised approach to online noisy-neighbor detection in cloud data centers. Expert Systems with Applications, 89, 188-204.
– Bilbao-Jayo, A., & Almeida, A. (2018). Automatic political discourse analysis with multi-scale convolutional neural networks and contextual data. International Journal of Distributed Sensor Networks, 14(11), 1550147718811827.
– DANTE: Detecting and analysing terrorist-related online contents and financing activities-
– BEHAVE: Design and development of a system to identify the behavior of users in order to – detect possible compulsive or inappropriate uses in real time.
– PERFIL: Design and development of a Big Data system for automatic classification of the ability of users to detect fraud in bets.
– SocialSpam: Tracking and filtering of personalized spam on social media through dissemination and content analysis models
The hosting team is a group integrated by research staff that has expertise with collaborating with other research areas. For example, we are currently working in collaboration with the Faculty of Psychology and Education of the University of Deusto to detect gambling problems in the users of EKASA platform. During this project, we started to identify conduct patterns that reflects real gambling problems. The goal of the project is to prevent the evolution of ths this type of problems beforehand.
On the other hand, there are under evaluation projects with the Center of Applied Ethics of the university, that approaches the problem of trust in a straightforward and precise sequence of steps looking at a variety of actual trust problems, collecting citizens answers, locating biases in public media discourse and suggesting solutions.
It will be decided together with the candidate according to his/her specific research situation, thesis proposal and the interdisciplinary aspects of the research project.
This project includes both aspects of the field of computer science and of the study of human behaviour, given that it is the behaviour to be modelled. It will also be necessary to study in depth the different biases that affect human beings and that affect decision making. For this reason, this project will have to deal with aspects of computer science, psychology and social sciences.
INTERNATIONAL COLLABORATION
The University of Deusto has collaborators in the academic and industrial fields in multiple regions of Europe and Spain. In particular, D4K research group maintains relationships with various research groups in Europe, like Secure Business Austria, member of the international knowledge network iSecLab, a group with a high degree of impact on computer security with researchers of the highest level in the area such as Christopher Kruegel, Giovanni Vigna, Ulrich Bayer or Ergin Kirda. Besides has contacts with the University of Bergamo, to which two of them have attended. In addition, the director of his security department, Stefano Paraboschi, was co-director of Dr Pablo García Bringas’ thesis. He also collaborates in the organization of international congresses with the TU University of Vienna through A Min Tjoa, Gabriella and Roland Wagner; and with the Dipartimento di Tecnologie Informazione of the University of Milan directed by Pierangela Samarati. DeustoTech also collaborates closely with large leading and pioneering companies in various sectors such as Telefónica or Philips, or innovative research centres, like CERTH (Hellas), Fondazione Bruno Kessler (Italy), VICESSE (Austria), or UNiversity of Granada (Spain).
It will be decided together with the candidate according to his/her specific research situation, thesis proposal and the interdisciplinary aspects of the research project. INTERSECTORAL COLLABORATION
Artificial intelligence is not merely a new technology but a key driver of economic transformation. Thus, it is necessary to include all stakeholders to ensure that the evolution of the AI system is being done in the right way. To achieve this goal, it is also essential an intense collaboration with the industry and social actors.
Deusto includes a lot of collaboration with several key actors in the industry (for example, Mercedes, Sidenor, Vidrala or Progenika (a Griffols company)) but also in the humanitarian sector (for example, Cruz Roja) or other academic leaders (for example University of Granada or Centre of Research and Technology Hellas (CERTH)).
Industrial doctorate is not envisaged since the programme requires the researcher to be hired by the University of Deusto. However, the industrial partner will be involved in the research and training of the PhD student since the beginning. IMPACT
Nowadays, the accumulation and monetization of human data is an industry. The data product is a new asset, and you can create economic value from this new algorithmic transformation of the users’ data (it could be 203 billion industry in 2020). To do this, there is a science of extracting useful insights from user behaviour in order to predict the next click (click on the advertising banner, next song or next video). The question now is how we balance the high performance of these systems dealing with the privacy and ethics fallout.
This project seeks to mitigate one of the problems that is causing the launch of different online betting platforms. Due to the increase in the popularity of these platforms, there have been increased cases in which users suffer disorders in the behavior when using these platforms. These problems have had a great impact both on their lives and on society in general. This project seeks to deepen the detection of these behaviors in order to minimize this impact. INNOVATION
The ethics of artificial intelligence are of growing importance. Artificial intelligence (AI) is changing societies and economies around the world. Principles like privacy protection, the fairness, transparency, accountability and explainability (among other aspects, like legal and regulatory compliance) will be critical elements that will define the way that these systems will impact in the society. Artificial intelligence holds enormous potential to improve the community. While we are building a “general AI” that replicates human knowledge, there are numerous “specific AI” technologies which are already incredibly sophisticated at handling specific tasks (for example, Medical AI technologies and autonomous vehicles). But all these benefits come with risks. All these systems can limit issues associated with human bias. To mitigate these problems, we have to use the existing ethics in context, not reinvented, and it is necessary to create systems that ensure that fit with all the principles beforementioned. To ensure these new principles is essential to understand how all these systems work, how they make their predictions, but also understand what the social and ethical implications of the outputs of these systems are. It will be necessary to develop countermeasures to remove (or at least mitigate) the problems. INCLUSION
One of the University of Deusto’s key duties is to be fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. DeustoTech, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.
Deusto is committed to social justice and inclusion. It recognises gender equality as a key driver for sustainable development, inclusive growth and academic opportunity for women. Moreover, to seek real inclusion for people with specific support needs, the project will ensure equal rights and opportunities with respect to access to the programme and the acquisition of skills expected to achieve the PhD.
The University of Deusto has collaborators in the academic and industrial fields in multiple regions of Europe and Spain. In particular, D4K research group maintains relationships with various research groups in Europe, like Secure Business Austria, member of the international knowledge network iSecLab, a group with a high degree of impact on computer security with researchers of the highest level in the area such as Christopher Kruegel, Giovanni Vigna, Ulrich Bayer or Ergin Kirda. Besides has contacts with the University of Bergamo, to which two of them have attended. In addition, the director of his security department, Stefano Paraboschi, was co-director of Dr Pablo García Bringas’ thesis. He also collaborates in the organization of international congresses with the TU University of Vienna through A Min Tjoa, Gabriella and Roland Wagner; and with the Dipartimento di Tecnologie Informazione of the University of Milan directed by Pierangela Samarati. DeustoTech also collaborates closely with large leading and pioneering companies in various sectors such as Telefónica or Philips, or innovative research centres, like CERTH (Hellas), Fondazione Bruno Kessler (Italy), VICESSE (Austria), or UNiversity of Granada (Spain).
It will be decided together with the candidate according to his/her specific research situation, thesis proposal and the interdisciplinary aspects of the research project.
Artificial intelligence is not merely a new technology but a key driver of economic transformation. Thus, it is necessary to include all stakeholders to ensure that the evolution of the AI system is being done in the right way. To achieve this goal, it is also essential an intense collaboration with the industry and social actors.
Deusto includes a lot of collaboration with several key actors in the industry (for example, Mercedes, Sidenor, Vidrala or Progenika (a Griffols company)) but also in the humanitarian sector (for example, Cruz Roja) or other academic leaders (for example University of Granada or Centre of Research and Technology Hellas (CERTH)).
Industrial doctorate is not envisaged since the programme requires the researcher to be hired by the University of Deusto. However, the industrial partner will be involved in the research and training of the PhD student since the beginning.
IMPACT
Nowadays, the accumulation and monetization of human data is an industry. The data product is a new asset, and you can create economic value from this new algorithmic transformation of the users’ data (it could be 203 billion industry in 2020). To do this, there is a science of extracting useful insights from user behaviour in order to predict the next click (click on the advertising banner, next song or next video). The question now is how we balance the high performance of these systems dealing with the privacy and ethics fallout.
This project seeks to mitigate one of the problems that is causing the launch of different online betting platforms. Due to the increase in the popularity of these platforms, there have been increased cases in which users suffer disorders in the behavior when using these platforms. These problems have had a great impact both on their lives and on society in general. This project seeks to deepen the detection of these behaviors in order to minimize this impact. INNOVATION
The ethics of artificial intelligence are of growing importance. Artificial intelligence (AI) is changing societies and economies around the world. Principles like privacy protection, the fairness, transparency, accountability and explainability (among other aspects, like legal and regulatory compliance) will be critical elements that will define the way that these systems will impact in the society. Artificial intelligence holds enormous potential to improve the community. While we are building a “general AI” that replicates human knowledge, there are numerous “specific AI” technologies which are already incredibly sophisticated at handling specific tasks (for example, Medical AI technologies and autonomous vehicles). But all these benefits come with risks. All these systems can limit issues associated with human bias. To mitigate these problems, we have to use the existing ethics in context, not reinvented, and it is necessary to create systems that ensure that fit with all the principles beforementioned. To ensure these new principles is essential to understand how all these systems work, how they make their predictions, but also understand what the social and ethical implications of the outputs of these systems are. It will be necessary to develop countermeasures to remove (or at least mitigate) the problems. INCLUSION
One of the University of Deusto’s key duties is to be fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. DeustoTech, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.
Deusto is committed to social justice and inclusion. It recognises gender equality as a key driver for sustainable development, inclusive growth and academic opportunity for women. Moreover, to seek real inclusion for people with specific support needs, the project will ensure equal rights and opportunities with respect to access to the programme and the acquisition of skills expected to achieve the PhD.
Nowadays, the accumulation and monetization of human data is an industry. The data product is a new asset, and you can create economic value from this new algorithmic transformation of the users’ data (it could be 203 billion industry in 2020). To do this, there is a science of extracting useful insights from user behaviour in order to predict the next click (click on the advertising banner, next song or next video). The question now is how we balance the high performance of these systems dealing with the privacy and ethics fallout.
This project seeks to mitigate one of the problems that is causing the launch of different online betting platforms. Due to the increase in the popularity of these platforms, there have been increased cases in which users suffer disorders in the behavior when using these platforms. These problems have had a great impact both on their lives and on society in general. This project seeks to deepen the detection of these behaviors in order to minimize this impact.
The ethics of artificial intelligence are of growing importance. Artificial intelligence (AI) is changing societies and economies around the world. Principles like privacy protection, the fairness, transparency, accountability and explainability (among other aspects, like legal and regulatory compliance) will be critical elements that will define the way that these systems will impact in the society. Artificial intelligence holds enormous potential to improve the community. While we are building a “general AI” that replicates human knowledge, there are numerous “specific AI” technologies which are already incredibly sophisticated at handling specific tasks (for example, Medical AI technologies and autonomous vehicles). But all these benefits come with risks. All these systems can limit issues associated with human bias. To mitigate these problems, we have to use the existing ethics in context, not reinvented, and it is necessary to create systems that ensure that fit with all the principles beforementioned. To ensure these new principles is essential to understand how all these systems work, how they make their predictions, but also understand what the social and ethical implications of the outputs of these systems are. It will be necessary to develop countermeasures to remove (or at least mitigate) the problems.
INCLUSION
One of the University of Deusto’s key duties is to be fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. DeustoTech, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.
Deusto is committed to social justice and inclusion. It recognises gender equality as a key driver for sustainable development, inclusive growth and academic opportunity for women. Moreover, to seek real inclusion for people with specific support needs, the project will ensure equal rights and opportunities with respect to access to the programme and the acquisition of skills expected to achieve the PhD.
One of the University of Deusto’s key duties is to be fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. DeustoTech, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.
Deusto is committed to social justice and inclusion. It recognises gender equality as a key driver for sustainable development, inclusive growth and academic opportunity for women. Moreover, to seek real inclusion for people with specific support needs, the project will ensure equal rights and opportunities with respect to access to the programme and the acquisition of skills expected to achieve the PhD.