TSSG Researcher wins 2 awards at JNIC 19 in Spain

https://2019.jnic.es) JNIC promotes the exchange of ideas, knowledge and experiences between academics, researchers and professionals. It enables the diffusion of the latest scientific advances in the field of cybersecurity and materializes a discussion forum in which to present perspectives and innovative approaches in cybersecurity. Researchers and professionals from different parts of the national geography will present the results of their scientific research from different perspectives with a common nexus: cybersecurity.
Alberto received his M.Sc. and Ph.D. degrees in Computer Science from the University of Murcia before joining the MEPS (Mobile Ecosystem & Pervasive Sensing) team last year. His research interests span several areas including cybersecurity, data privacy, authentication and brain-computer interfaces.

Dr. Huertas Celdrán shares these awards with a team of Researchers from University of Murcia.

Best Paper Award: A Review of Improving the Security and QoE in Mobile Devices through an Intelligent and Adaptive Continuous Authentication System.
Abstract:  Continuous authentication systems for mobile devices focus on identifying users according to their behaviour patterns when they interact with mobile devices. Despite the benefits of these systems, they also have open challenges such as the authentication accuracy and the adaptability to new users’ behaviours. With the goal of improving these challenges, the main contribution of this paper is an intelligent and adaptive continuous authentication system for mobile devices. The proposed system enables the real-time users’ authentication by considering statistical information from applications, sensors and Machine Learning techniques based on anomaly detection. Several experiments demonstrated the accuracy, adaptability, resilience, and resources consumption of our solution.
Best Solution to the JNIC Transference Track Award: INERTIA (INtelligent and coNtinuous computER auThentIcAtion system)
Overview: Alberto and his team have designed, implemented and validated a solution that improves the challenge of continuous authentication in personal computers. The proposed solution considers the events generated by the keyboard, mouse and applications to create a behaviour pattern of the owner of the device. After that, they use machine learning techniques to detect in real time and automatically if the person using the computer is the owner or not.
Alberto also found time at the conference to present a short paper outlining his ongoing research in TSSG.
Title: Cybersecurity on Brain-Computer Interfaces: Attacks and Countermeasures
Abstract: In recent years, Brain-Computer Interfaces (BCI) have increased their presence in the medical field as well as in other sectors of the industry such as entertaining or authentication. This expansion has improved not only the subjects’ quality of life but also their quality of experience when using entertainment systems. Despite the benefits, new paradigms such as Brain-to-Internet or Brain-to-Brain, together with novel technologies and techniques missing security and privacy by design principles are influencing the emergence of cybersecurity challenges affecting subjects’ safety and data privacy. In this context, this line of work aims to review the attacks on BCI disrupting physical safety, data availability, confidentiality and integrity, as well as propose proactive and reactive countermeasures to enable their protection.]]>