Josiane Kouam will give a talk in the meeting room at the 4th floor of the Inria building.
Title
Mobile Human Behavior: Availability, Leveraging, and Addressing Privacy Attacks
Abstract
In an era of ubiquitous mobile connectivity, the security and privacy of users have become paramount concerns. My research delves into the intricate balance between harnessing mobile human behavior data for network optimization and security while safeguarding individual privacy from emerging threats. This talk will cover three key facets of my work in mobile security and privacy, offering insights into the opportunities and challenges presented by the pervasive nature of mobile technologies.
First, I will overview the importance and challenge of ensuring privacy-preserving access to such datasets. Next, I will discuss how behavioral data can be leveraged to enhance network security, including the development of a game-theoretic approach to mitigate international bypass frauds in cellular networks. Finally, I will address privacy risks linked to mobile behavioral data, focusing on vulnerabilities in permission-less sensors like accelerometers when combined with publicly available distinctive network properties.
This discussion will provide insights into balancing the benefits and risks of mobile data in an increasingly connected world.
Biography
Anne Josiane Kouam is a post-doctoral researcher at TU Berlin and member of the Machine Learning and Security team. She obtained her PhD from INRIA Saclay and Ecole Polytechnique, France, in May 2023. With a focus on privacy and security in Mobile and Cellular networks, her research investigates the evolving landscape of threats, particularly those arising from the intersection of Machine Learning and network security.
