Enhancing Network Intrusion Recovery in SDN with machine learning: an innovative approach

Autor: Mohamed Hammad, Nabil Hewahi, Wael Elmedany

Publikováno v: Arab Journal of Basic and Applied Sciences, Vol 30, Iss 1, Pp 561-572 (2023)

AbstractIn modern network environments, the swift recovery of network flow intrusions poses a substantial challenge. Particularly in the context of Software-Defined Networks (SDN), addressing this challenge necessitates the strategic selection of bac

Externí odkaz: https://doaj.org/article/00b541a0f225448c84de6ba5da931d97

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Intrusion Survivability for Commodity Operating Systems

Autor: Ronny Chevalier, David Plaquin, Chris I. Dalton, Guillaume Hiet

Publikováno v: Digital Threats: Research and Practice
Digital Threats: Research and Practice, Association for Computing Machinery, 2020, 1 (4), pp.1-30. ⟨10.1145/3419471⟩
Digital Threats: Research and Practice, 2020, 1 (4), pp.1-30. ⟨10.1145/3419471⟩

International audience; Despite the deployment of preventive security mechanisms to protect the assets and computing platforms of users, intrusions eventually occur. We propose a novel intrusion survivability approach to withstand ongoing intrusions.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fadf27e5a88407eef2f2ddb76b20d95c
https://hal.inria.fr/hal-03085774/document

Towards Self-Healing Systems: Re-establishing Trust in Compromised Systems

Autor: Grizzard, Julian B.

Computer systems are subject to a range of attacks that can compromise their intended operations. Conventional wisdom states that once a system has been compromised, the only way to recover is to format and reinstall. In this work, we present methods

Externí odkaz: http://hdl.handle.net/1853/10519