Emilie Bout
Ph.D Student in Computer Science

About :


I am a Ph.D student working under the supervison of Valeria Loscrí and Antoine Gallais in the Future Ubiquitous Networks (FUN) team at Inria Lille Nord Europe. My thesis is founded by the General Armament Direction, France (DGA)

Ph.D Topic:

Denial-of-Sleep Attacks on IoT networks
The Internet of Things (IoT) has continued gaining in popularity and importance in everyday life in recent years. However, due to the number of sensitive and private data produced by IoT systems, IoT networks become the new privileged targets for cyberattackers. In addition, these devices are constrained in terms of ressources and energy. Therefore, due to their characteristics, security systems developed for IoT networks are an open question in research. At the same time, Machine Learning (ML) has gained a phenomenal success in various fields like telecommunications, transport or cybersecurity. Nonetheless, the application of ML can cause significant damage when put in the hands of an attacker. The increasing use of ML in creating attacks is significantly changing the threat landscape in two notable ways. The first will be the expansion of existing attacks. Indeed, by integrating ML algorithms in current cyberattacks, these will become more resistant, more reactive, and less recognizable by existing detection methods. The second will represent the creation of new threats which, until then, were not achievable due to their massive demand for data or their excessive manual processing time.
To better understand the vulnerabilities that exist in IoT networks, my first objective is to take the place of an attacker. We focus on the creation of smart jamming attacks. Indeed, this simple attack can have serious consequences ranging from the loss of data to the decommissioning of an IoT device. Few solutions exist to counter smart jamming attacks. Therefore, my second objective is to create smart jammming attacks in order to identify the flaws in the defense systems and then improve them.

Research Interests:

  • Cyber-Security
  • Internet of Things
  • Wireless sensor networks
  • Machine learning