[RU1/22] Hassan CHAITOU : Optimization of security risk for learning on heterogeneous datas
On the research update spring 2022, our PhD student Hassan CHAITOU presented his latest results regarding “Optimization of security risk for learning on heterogeneous datas“. This presentation is a part of our bi-yearly research update events of the chair Cybersecurity for Critical Networked Infrastructures (cyberCNI.fr). More infos on our website https://cyberCNI.fr/
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A classifier is a component used in the automation of “decision-making” or complex data abstraction: intruder detection, speed limitation extraction. For an efficient classifier, the training must be on a large
volume of data and be renewed over time by integrating or revoking certain learning data. From a security point of view, this process represents a risk since it offers the attacker various ways of degrading
classifier performance (either by forcing classifications mischievous, either by randomly degrading its performance). These two types of attacks require more or less effort from the attacker. This risk is exacerbated when data comes from sources (network equipment, organizations) corresponding to heterogeneous trust levels. This thesis aims at controlling the risk associated with this update via game theory in the case where the confidence in the learning data is not homogeneous.
About Hassan Chaitou
I have been working in programming, data science, and IT technologies since 2010. My experience in programming, software analysis, and IT technical management helped me to master several essential technologies such as developing information systems, software analysis, and design, virtualization, and storage techniques in addition to Microsoft server technologies. I have obtained a B.Sc.degree in applied mathematics from the Lebanese university. The first M.Sc.degree in computer science from the American University of culture and education and a second M.Sc. degree in Cybersecurity from Lebanese university. Moreover, I enrolled in a research internship program entitled “Predictive analysis of political discourses, a machine learning approach” at University de Versailles Saint-Quentin-en-Yvelines, which is in the field of data science and cybersecurity. Currently, I am enrolling in the Ph.D. program, entitled “Optimization of security risk for learning on heterogeneous data” at Télécom Paris.
About the cyberCNI.fr Research Update
The cyberCNI.fr (https://cyberCNI.fr/) Research Update (Spring/ Fall) happens once per semester. It is the big status event of the chair Cyber CNI. All works around the chair (PhD students, PostDocs, Engineers, …) are presenting their progress, current works, and next challenges. There are vital discussions with the audience on the topics. It is the perfect opportunity for getting an overview on and discussing what is going on at the chair. From the spring 2022 event on, the Research Updates start with an industrial keynote of one of our partners, giving insights to and showcasing their work.
About the chair Cybersecurity of Critical Networked Infrastructures (cyberCNI.fr)
The Cyber CNI Chair at IMT Atlantique is devoted to research, innovation, and teaching in the field of the cybersecurity of critical infrastructures, including industrial processes, financial systems, building automation, energy networks, water treatment plants, transportation. The chair covers the full stack from sensors and actuators and their signals over industrial control systems, distributed services at the edge or cloud, to user interfaces with collaborative Mixed Reality, and security policies. The chair currently hosts 6+3 PhD students, 1+3 PostDocs, 11 Professors, 1+1 engineers, and 1 internship student.
The chair runs a large testbed that enables applied research together with the industry partners. The industry partners of the current third funding round are Airbus, Amossys, BNP Paribas, EDF, and SNCF. The chaire is located in Brittany, France. Brittany is the cybersecurity region number 1 in France. The chair Cyber CNI is strongly embedded in the cybersecurity ecosystem through its partnerships with the Pôle d’Excellence Cyber (PEC) and the Brittany Region. The chair provides a unique environment for cybersecurity research with lots of development possibilities.
- Federated Learning as enabler for Collaborative Security between not Fully-Trusting Distributed Parties - February 10, 2023
- [RU2/22] Anthony DAVID : Virtual Reality for cybersecurity data vizualisation - December 21, 2022
- [ECW2022] 90s Anthony DAVID [PhD Student] [IMT Atlantique] “Immersive Cybersecurity” - December 19, 2022