Towards Blockchain-Based Collaborative Intrusion Detection Systems

Alexopoulos, Nikolaos; Vasilomanolakis, Emmanouil; Ivánkó, Natália Réka; Mühlhäuser, Max

doi:10.1007/978-3-319-99843-5_10

Cited by 69 publications

(47 citation statements)

References 19 publications

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“…Many techniques for implementing intrusion detection systems (IDSs) in the IoT environment have been proposed, which are based in machine learning. To improve the collaborative intrusion detection systems (CIDSs), Alexopoulos et al [53] introduced the idea of utilizing blockchain technology in order to secure the exchange of alerts between the collaborating nodes. Meng et al [54] discussed the applicability of blockchain technology in a intrusion detection systems.…”

Section: Intrusion Detectionmentioning

confidence: 99%

Blockchain Technologies for the Internet of Things: Research Issues and Challenges

Ferrag

Derdour

Mukherjee

et al. 2019

IEEE Internet Things J.

587

253

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This paper presents a comprehensive survey of the existing blockchain protocols for the Internet of Things (IoT) networks. We start by describing the blockchains and summarizing the existing surveys that deal with blockchain technologies. Then, we provide an overview of the application domains of blockchain technologies in IoT, e.g, Internet of Vehicles, Internet of Energy, Internet of Cloud, Fog computing, etc. Moreover, we provide a classification of threat models, which are considered by blockchain protocols in IoT networks, into five main categories, namely, identity-based attacks, manipulationbased attacks, cryptanalytic attacks, reputation-based attacks, and service-based attacks. In addition, we provide a taxonomy and a side-by-side comparison of the state-of-the-art methods towards secure and privacy-preserving blockchain technologies with respect to the blockchain model, specific security goals, performance, limitations, computation complexity, and communication overhead. Based on the current survey, we highlight open research challenges and discuss possible future research directions in the blockchain technologies for IoT.

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Section: Intrusion Detectionmentioning

confidence: 99%

Blockchain Technologies for the Internet of Things: Research Issues and Challenges

Ferrag

Derdour

Mukherjee

et al. 2019

IEEE Internet Things J.

587

253

View full text Add to dashboard Cite

show abstract

“…The blockchain and IDS solutions have been used in a few studies to provide trusted collaborative IDSs in network and cloud systems. For instance, Alexopoulos et al [170] surveyed the methods of integrating CIDSs and blockchains. Especially, the authors introduced the concept of using blockchain techniques for enhancing the credibility of CIDSs.…”

Section: A Current Research In Cloud Ids and Blockchainmentioning

confidence: 99%

A Review of Intrusion Detection and Blockchain Applications in the Cloud: Approaches, Challenges and Solutions

2020

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This paper reviews the background and related studies in the areas of cloud systems, intrusion detection and blockchain applications against cyber attacks. This work aims to discuss collaborative anomaly detection systems for discovering insider and outsider attacks from cloud centres, including the technologies of virtualisation and containerisation, along with trusting intrusion detection and cloud systems using blockchain. Moreover, the ability to detect such malicious attacks is critical for conducting necessary mitigation, at an early stage, to minimise the impact of disruption and restore cloud operations and their live migration processes. This paper presents an overview of cloud architecture and categorises potential stateof-the-art security events based on their occurrence at different cloud deployment models. Network Intrusion Detection Systems (NIDS) in the cloud, involving types of classification and common detection approaches, are also described. Collaborative NIDSs for cloud-based blockchain applications are also explained to demonstrate how blockchain can address challenges related to data privacy and trust management. A summary of the research challenges and future research directions in these fields is also explained.

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“…As shown in Fig. 11, Alexopoulos et al [91] have introduced the CIDS based on blockchain technology by considering raw alerts generated by individual IDS nodes as blockchain records. The trust computation among individual IDS nodes was achieved by maintaining the state of alerts generated by each IDS node, hence allowing IDS nodes to collect and exchange required information with each other.…”

Section: B Blockchain Applicability In Icmpv6-based Dos and Ddos Attmentioning

confidence: 99%

ICMPv6-Based DoS and DDoS Attacks Detection Using Machine Learning Techniques, Open Challenges, and Blockchain Applicability: A Review

2020

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Although the launch of Internet Protocol version six (IPv6) addressed the issue of IPv4's address depletion, but also mandated the use of Internet Control Message Protocol version six (ICMPv6) messages in newly introduced features such as the Neighbor Discovery Protocol (NDP). This has exacerbated existing network attacks including ICMPv6-based Denial of Service (DoS) attacks and its variant form Distributed Denial of Service (DDoS) attack. Intrusion Detection Systems (IDS) aimed at tackling security issues raised by ICMPv6-based DoS and DDoS attacks have been reviewed by researchers and a general classification of existing IDSs was proposed as anomaly-based and signature-based. However, it is incredibly hard to see the overall picture of IDSs based on Machine Learning (ML) techniques with such a classification, as there is a lack of a more detailed view of the ML approach, classifiers, feature selection techniques, datasets, and different evaluation metrics. Nevertheless, recent developments in this relatively new field have not been covered such as ML-based IDSs using flow-based traffic representation. Therefore, this paper specifically reviews and classifies IDSs based on ML techniques to detect ICMPv6-based DoS and DDoS attacks as single and hybrid classifiers. In addition, blockchain applicability in Collaborative IDS (CIDS) architecture based on the ensemble framework has been proposed as a solution to one of the open challenges for ICMPv6-based DoS and DDoS attacks detection problem. Moreover, this review also provides a classification of ICMPv6 vulnerabilities to DoS and DDoS attacks which would provide a reference resource for future researchers in this domain. To the best of the author's knowledge, this is the first review paper specifically focusing on IDSs based on ML techniques in this domain, as well as blockchain applicability as a possible research direction has been proposed to attract researcher's focus on building ensemble learning-based IDS models.

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Towards Blockchain-Based Collaborative Intrusion Detection Systems

Cited by 69 publications

References 19 publications

Blockchain Technologies for the Internet of Things: Research Issues and Challenges

Blockchain Technologies for the Internet of Things: Research Issues and Challenges

A Review of Intrusion Detection and Blockchain Applications in the Cloud: Approaches, Challenges and Solutions

ICMPv6-Based DoS and DDoS Attacks Detection Using Machine Learning Techniques, Open Challenges, and Blockchain Applicability: A Review

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