The Lannion report on Big Data and Security Monitoring Research

Laurent d'Orazio (1) , Jalil Boukhobza (2, 3) , Omer Rana , Juba Agoun (4) , Le Gruenwald , Hervé Rannou , Elisa Bertino , Mohand-Saïd Hacid (4) , Taofik Saïdi , Georges Bossert , VanLong Nguyen Huu (1) , Dimitri Tombroff , Makoto Onizuka

1 SHAMAN - A Symbolic and Human-centric view of dAta MANagement
2 Lab-STICC_SHAKER - Equipe Software/HArdware and unKnown Environment inteRactions
3 ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne
4 LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information

During the last decade, big data management has attracted increasing interest from both the industrial and academic communities. In parallel, Cyber Security has become mandatory due to various and more intensive threats. In June 2022, a group of researchers has met to reflect on their community's impacts on current research challenges. In particular, they have considered four dimensions: (1) dedicated systems being data processing and analytic platforms or time series management systems; (2) graphs analytics and distributed computation; (3) privacy; and (4) new hardware.

Mots clés: Cyber security big data security monitoring; Cyber security; big data; security monitoring

Domaines: Informatique [cs]; Base de données [cs.DB]

Laurent d'Orazio, Jalil Boukhobza, Omer Rana, Juba Agoun, Le Gruenwald, et al.. The Lannion report on Big Data and Security Monitoring Research. Workshop on Big Data for CyberSecurity (BigCyber-2022), Dec 2022, Osaka, Japan. ⟨hal-03951141⟩