ITM Web Conf.
Volume 60, 20242023 5th International Conference on Advanced Information Science and System (AISS 2023)
|Number of page(s)
|09 January 2024
Survey on Intrusion Tolerant Systems in Emerging Technologies
Laboratory of Mathematics, Computing and Applications Information Security, Faculty of Sciences, Mohammed V University in Rabat, Morocco
* Corresponding author: email@example.com
The wide spread of the Internet leads to the expansion of networks and the increase of data. For this reason, the use of emerging technologies became a necessity to cover the needs and the lapses in traditional systems. However, these systems might reveal security flaws and become vulnerable to attacks. Security is therefore essential to ensure the confidentiality, integrity, and availability of system data and services. As the attacks get more sophisticated, the protection gets more difficult. In fact, mechanisms such as Firewalls, IDSs, and IPSs are still ineffective against unknown attacks. Consequently, defense-in-depth security should include intrusion tolerance. The concern of intrusion tolerance is not how to defend or detect the intrusion, but how to mask or restrain the intrusion when the network has been intruded. Using three separate lines of approaches: Detection-Triggered, Algorithm-Driven, and Recovery Based, this paper will present, analyze, and contrast several works in two different environments: Cloud Computing and Software Defined Networks (SDNs), to proceed towards Intrusion Tolerant Systems (ITSs).
Key words: Intrusion Tolerance / Detection-Triggered / Recovery-based / Algorithm-Driven / SDN / Cloud Computing.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.