Host-Based Intrusion Detection System: Model and Design Features

Zegzhda, Peter D.; Kort, Semyon

doi:10.1007/978-3-540-73986-9_29

Cited by 4 publications

(4 citation statements)

References 1 publication

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“…IDS come across the packets in a network and decide whether or not they're intruders or legitimate users. IDS usually consists of three components Monitoring, Analysis, and detection, Alarm [19]. There are mainly two kinds of IDS Host-based IDS and Network-based IDS.…”

Section: Intrusion Detection Systemmentioning

confidence: 99%

A Survey on Blockchain-based Intrusion Detection Systems for IoT

Hassan,

Abid,

Ahmad

et al. 2023

VAWKUM trans. comput. sci.

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The Internet of Things (IoT) is a contemporary concept that unifies the Internet and physical objects across various domains, such as home automation, manufacturing, healthcare, and environmental monitoring. This integration enables users to leverage Internet-connected devices in their daily routines. Despite its numerous advantages, IoT also presents several security challenges. As the popularity of IoT continues to grow, ensuring the security of IoT networks has become a critical concern. While encryption and authentication can enhance the security of IoT networks, protecting IoT devices against cyber-attacks remains a complex task. A successful cyber-attack on an IoT system may not only result in information loss but also potentially cripple the entire system. Intrusion detection systems (IDS) are instrumental in identifying malicious activities that could compromise or disrupt network performance. Consequently, there is a pressing need for effective IDS solutions to safeguard IoT systems. Blockchain, an emerging technology, bolsters security systems to counter modern threats. In this paper, we provide an extensive review of state-of-the-art blockchain-based intrusion detection systems for IoT applications. Additionally, we present recent advancements in addressing security concerns in a tabular format. Lastly, we identify open challenges and current limitations that warrant further exploration.

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Section: Intrusion Detection Systemmentioning

confidence: 99%

A Survey on Blockchain-based Intrusion Detection Systems for IoT

Hassan,

Abid,

Ahmad

et al. 2023

VAWKUM trans. comput. sci.

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“…In [16], E. Anthi et al introduced a three-layer intrusion detection system (IDS) that used a supervised technique to detect a variety of prevalent network-based cyber-attacks on IoT networks. The system is made up of three major components.…”

Section: Related Workmentioning

confidence: 99%

“…A well know name of this system is hybrid system that combines both type of network features for detection intrusion in Network and Host type of attack [16]. This system is implemented over a vast distributed network, such as cloud computing, so that all varieties of platforms work easily with one another, such as a central server.…”

Section: Ids In a Distributed Architecturementioning

confidence: 99%

IOT Network Feature Based Intrusion Detection Techniques- Review

Chaudhary

Yadav

Gupta

et al. 2022

2022 IEEE International Conference on Current Development in Engineering and Technology (CCET)

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Communication networks become mobile and dynamic with the usage of portable wireless devices. The Internet of Things network's flexibility creates a risky environment for a variety of applications. Therefore, there is a significant possibility of an attack in such a network. In order to secure various types of networks, researchers' work in the subject of intrusion detection has been described in this paper. The architecture of the IDS was discussed as per networks with its types. Models proposed by the authors were detailed with techniques used for the detection of intrusion in different environments. The further paper has listed compared various techniques and listed strengths with limitations. Finally, evaluation parameters were listed to compare models of intrusion detection systems.

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“…The advantage of the host-based IDS is that it provides more detailed information, lower false alarm rates, and has less complexity than network-based IDS. However, it reduces the efficiency of the application system and relies excessively on the log data and monitoring capability of the host [15].…”

Section: Classes Of Idsmentioning

confidence: 99%

Intrusion Detection System for the Internet of Things Based on Blockchain and Multi-Agent Systems

et al. 2020

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With the popularity of Internet of Things (IoT) technology, the security of the IoT network has become an important issue. Traditional intrusion detection systems have their limitations when applied to the IoT network due to resource constraints and the complexity. This research focusses on the design, implementation and testing of an intrusion detection system which uses a hybrid placement strategy based on a multi-agent system, blockchain and deep learning algorithms. The system consists of the following modules: data collection, data management, analysis, and response. The National security lab–knowledge discovery and data mining NSL-KDD dataset is used to test the system. The results demonstrate the efficiency of deep learning algorithms when detecting attacks from the transport layer. The experiment indicates that deep learning algorithms are suitable for intrusion detection in IoT network environment.

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Host-Based Intrusion Detection System: Model and Design Features

Cited by 4 publications

References 1 publication

A Survey on Blockchain-based Intrusion Detection Systems for IoT

A Survey on Blockchain-based Intrusion Detection Systems for IoT

IOT Network Feature Based Intrusion Detection Techniques- Review

Intrusion Detection System for the Internet of Things Based on Blockchain and Multi-Agent Systems

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