Collaborative Intrusion Detection in the Era of IoT: Recent Advances and Challenges

Li, Wenjuan; Meng, Weixiao

doi:10.1002/9781119607755.ch5

Cited by 2 publications

(1 citation statement)

References 77 publications

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“…Intrusion detection approaches have also been widely proposed for Internet of Things applications (e.g., [ 19 , 20 , 21 ]). Alshahrani [ 22 ] proposed a collaborative intruder detection system that detects malicious activities in IoT devices.…”

Section: Introductionmentioning

confidence: 99%

A Novel Efficient Dynamic Throttling Strategy for Blockchain-Based Intrusion Detection Systems in 6G-Enabled VSNs

Alevizos,

Ta,

Eiza

2023

Sensors

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Vehicular Social Networks (VSNs) have emerged as a new social interaction paradigm, where vehicles can form social networks on the roads to improve the convenience/safety of passengers. VSNs are part of Vehicle to Everything (V2X) services, which is one of the industrial verticals in the coming sixth generation (6G) networks. The lower latency, higher connection density, and near-100% coverage envisaged in 6G will enable more efficient implementation of VSNs applications. The purpose of this study is to address the problem of lateral movements of attackers who could compromise one device in a VSN, given the large number of connected devices and services in VSNs and attack other devices and vehicles. This challenge is addressed via our proposed Blockchain-based Collaborative Distributed Intrusion Detection (BCDID) system with a novel Dynamic Throttling Strategy (DTS) to detect and prevent attackers’ lateral movements in VSNs. Our experiments showed how the proposed DTS improve the effectiveness of the BCDID system in terms of detection capabilities and handling queries three times faster than the default strategy with 350k queries tested. We concluded that our DTS strategy can increase transaction processing capacity in the BCDID system and improve its performance while maintaining the integrity of data on-chain.

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Section: Introductionmentioning

confidence: 99%

A Novel Efficient Dynamic Throttling Strategy for Blockchain-Based Intrusion Detection Systems in 6G-Enabled VSNs

Alevizos,

Ta,

Eiza

2023

Sensors

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Surveying Trust-Based Collaborative Intrusion Detection: State-of-the-Art, Challenges and Future Directions

Meng

Kwok

2022

IEEE Commun. Surv. Tutorials

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Owing to the swift growth in cyber attacks, intrusion detection systems (IDSs) have become a necessity to help safeguard personal and organizational assets. However, with the increasing size of computer networks, it becomes difficult for a stand-alone IDS to identify sophisticated and advanced threats, such as DDoS attack, due to the lack of contextual information and knowledge regarding the deployed environments. To tackle this issue, distributed and collaborative IDSs (DIDSs and CIDSs) are developed, which enable a set of IDS nodes to operate in a collaborative way through exchanging required information. In this survey, we first summarize the state-of-the-art for traditional DIDSs according to the collaboration topology, e.g., centralized, decentralized, and distributed, and discuss major external and internal threats. Because of the distributed nature and various threats, trust is often enforced among various IDS nodes. We then summarize the relevant research on trust-based DIDSs/CIDSs in a chronological order. Also, we highlight challenges and future directions in this field. The main purpose of this survey is to stimulate more research efforts in developing robust and practical trust-based collaborative intrusion detection.

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Collaborative Intrusion Detection in the Era of IoT: Recent Advances and Challenges

Cited by 2 publications

References 77 publications

A Novel Efficient Dynamic Throttling Strategy for Blockchain-Based Intrusion Detection Systems in 6G-Enabled VSNs

A Novel Efficient Dynamic Throttling Strategy for Blockchain-Based Intrusion Detection Systems in 6G-Enabled VSNs

Surveying Trust-Based Collaborative Intrusion Detection: State-of-the-Art, Challenges and Future Directions

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