Défense de mémoire en sciences informatiques : Classification of Linux Commands in SSH Session by Risk Levels
Défense de mémoire - Dao Thuy Ngan, à distance via teams
Date : 04/09/2020 13:00 - 04/09/2020 14:30
Lieu : https://teams.microsoft.com/l/meetup-join/19%3ameeting_NzFiMzRlYWUtOTMzYS00Y2Y0LWI4N2MtZDMyZTY3MWE0NTI0%40thread.v2/0?context=%7b%22Tid%22%3a%225f31c5b4-f2e8-4772-8dd6-f268037b1eca%22%2c%22Oid%22%3a%22363e7449-861f-4e7f-bbfa-9e6261d7a69a%22%7d
Orateur(s) : Dao Thuy Ngan
Organisateur(s) : Isabelle Daelman
Honeypot is a decoy system with vulnerabilities introduced to trap hackers. Through many years of evolution, a generation of smart honeypots has been developed. The selfadaptive honeypot is a smart honeypot that is expected to respond appropriately to the attacker’s request. In most existing self-adaptive honeypot systems, the commands sent from the attacker play a central role in the reasoning process of the honeypot. In this thesis, we focus on the construction of a machine learning workflow that aims at estimating the risk level of these commands. Experiments show that the proposed workflow achieves potential results.
Contact :
Isabelle Daelman
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4966
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isabelle.daelman@unamur.be
Télecharger :
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