Title: Layer-based cooperation for intrusion detection in mobile cloud environment

Authors: Amel Meddeb Makhlouf; Saadia Ghribi; Faouzi Zarai

Addresses: New Technologies and Telecommunications Systems (NTS'Com) Research Unit, ENET'COM, University of Sfax, Sfax, Tunisia ' New Technologies and Telecommunications Systems (NTS'Com) Research Unit, ENET'COM, University of Sfax, Sfax, Tunisia ' New Technologies and Telecommunications Systems (NTS'Com) Research Unit, ENET'COM, University of Sfax, Sfax, Tunisia

Abstract: Today, mobile cloud computing is very popular, because of its characteristics, where the cloud computing offers services via the mobile networks. This makes it more attractive to attackers. Many complex attack targets cloud networks are used, such as distributed denial of service (DDoS). Thus, intrusion detection systems (IDSs) based on sensors and distributed IDSs are deployed to reinforce security and to protect data and services provided to customers. In this article, we propose a multi-layer and cooperative distributed intrusion detection system for mobile cloud computing (LC-IDS: layer-based cooperative IDS). The proposed LC-IDS is able to detect distributed and cooperative attacks based on risk analysis, after identifying and comparing the most used distributed intrusion detection systems, deployed in mobile cloud networks. Compared to existing works, the simulation results prove that our approach is efficient in terms of false positive and true positive rates, with minimal detection delay of 0.7 s for six OpenStack instances.

Keywords: mobile cloud computing; software as a service; SaaS; infrastructure as a service; IaaS; distributed denial of service; DDoS; cooperation; sensors; managers; correlation; multi-layer detection; intrusion detection; risk analysis; true positive rate; false positive rate.

DOI: 10.1504/IJMC.2023.129966

International Journal of Mobile Communications, 2023 Vol.21 No.3, pp.365 - 384

Received: 20 Jan 2021
Accepted: 23 May 2021
Published online: 04 Apr 2023 *

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