activity
20082024
most citedManaging Delegation in Access Control Models

29 citations · 50 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2024

Trustless Distributed Symmetric-key Encryption

Florian Le Mouël, Maxime Godon, Renaud Brien +3

Threshold cryptography has gained momentum in the last decades as a mechanism to protect long term secret keys. Rather than having a single secret key, this allows to distribute th…

cs.CR2024

Diffusion-based Adversarial Purification for Intrusion Detection

Mohamed Amine Merzouk, Erwan Beurier, Reda Yaich +2

The escalating sophistication of cyberattacks has encouraged the integration of machine learning techniques in intrusion detection systems, but the rise of adversarial examples pre…

cs.LG2024★ 3 cited

Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey

Lucas Schott, Josephine Delas, Hatem Hajri +5

Deep Reinforcement Learning (DRL) is a subfield of machine learning for training autonomous agents that take sequential actions across complex environments. Despite its significant…

cs.CR2019★ 8 cited

Misconfiguration Management of Network Security Components

Frédéric Cuppens, Nora Cuppens-Boulahia, Joaquin Garcia-Alfaro

Many companies and organizations use firewalls to control the access to their network infrastructure. Firewalls are network security components which provide means to filter traffi…

cs.CR2010★ 29 cited

Managing Delegation in Access Control Models

Meriam Ben Ghorbel-Talbi, Frederic Cuppens, Nora Cuppens-Boulahia +1

In the field of access control, delegation is an important aspect that is considered as a part of the administration mechanism. Thus, a complete access control must provide a flexi…

cs.CR2009

Reliable Process for Security Policy Deployment

Stere Preda, Nora Cuppens-Boulahia, Frederic Cuppens +2

We focus in this paper on the problem of configuring and managing network security devices, such as Firewalls, Virtual Private Network (VPN) tunnels, and Intrusion Detection System…