Analysis of Rule-Based Classifiers for IDS in IoT

Nimbalkar, Pushparaj; Kshirsagar, Deepak

doi:10.1007/978-981-16-4486-3_51

Cited by 4 publications

(1 citation statement)

References 12 publications

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“…Anomaly-based IDS and Rule-based IDS are popular types of IDS. Rule-based IDS identifies future attacks by comparing known events to stored malware signatures 51 . An anomaly-based IDS identifies a discrepancy between the main profile and a previously specified standard profile to identify malicious behavior 52 .…”

Section: Related Workmentioning

confidence: 99%

Blockchain-Enabled Secure and Efficient Data Sharing Scheme for Trust Management in Healthcare Smartphone Network

Bhan

Pamula

Faruki³

et al. 2022

Preprint

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Internet of Medical Things (IoMT) is an extended genre of Internet of Things (IoT) where the Things collaborate to provide remote patient health monitoring, also known as the Internet of Health (IoH). Smartphones and IoMTs' are expected to maintain a secure and trusted confidential patient-records exchange while managing the patient remotely. Healthcare organizations deploy Healthcare Smartphone Networks (HSN) for confidential patient data collection and sharing among smartphone users and IoMT nodes. However, the attackers gain access to confidential patient data via compromised/malicious IoMT nodes from the HSN. Additionally, attackers can compromise the entire network via the compromised nodes. This article proposes a Hyperledger blockchain-based technique to identify the compromised IoMT nodes and safeguard sensitive patient records. Furthermore, the paper proposes a Clustered Hierarchical Trust Management System (CHTMS) to block malicious nodes. In addition, the proposal employs Elliptic Curve Cryptography (ECC) to protect sensitive health records. Similarly, the proposed approach is resilient against denial of service, eclipse attacks, and terminal device failure. Finally, the evaluation results show that integrating blockchains into the HSN system improved the detection performance compared to the existing state-of-the-art. Therefore, the simulation results indicate better security and reliability when compared to conventional databases.

show abstract

Section: Related Workmentioning

confidence: 99%

Blockchain-Enabled Secure and Efficient Data Sharing Scheme for Trust Management in Healthcare Smartphone Network

Bhan

Pamula

Faruki³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

Analysis of Feature Selection Methods for UKM-IDS20 Dataset

Pawar

Mohite²,

Kshirsagar³

2022

Applied Computational Technologies

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Blockchain-enabled secure and efficient data sharing scheme for trust management in healthcare smartphone network

Bhan

Pamula

Faruki³

et al. 2023

J Supercomput

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The Internet of Medical Things (IoMT) is an extended genre of the Internet of Things (IoT) where the Things collaborate to provide remote patient health monitoring, also known as the Internet of Health (IoH). Smartphones and IoMTs are expected to maintain secure and trusted confidential patient record exchange while managing the patient remotely. Healthcare organizations deploy Healthcare Smartphone Networks (HSN) for personal patient data collection and sharing among smartphone users and IoMT nodes. However, attackers gain access to confidential patient data via infected IoMT nodes on the HSN. Additionally, attackers can compromise the entire network via malicious nodes. This article proposes a Hyperledger blockchain-based technique to identify compromised IoMT nodes and safeguard sensitive patient records. Furthermore, the paper presents a Clustered Hierarchical Trust Management System (CHTMS) to block malicious nodes. In addition, the proposal employs Elliptic Curve Cryptography (ECC) to protect sensitive health records and is resilient against Denial-Of-Service (DOS) attacks. Finally, the evaluation results show that integrating blockchains into the HSN system improved detection performance compared to the existing state of the art. Therefore, the simulation results indicate better security and reliability when compared to conventional databases.

show abstract

Analysis of Rule-Based Classifiers for IDS in IoT

Cited by 4 publications

References 12 publications

Blockchain-Enabled Secure and Efficient Data Sharing Scheme for Trust Management in Healthcare Smartphone Network

Blockchain-Enabled Secure and Efficient Data Sharing Scheme for Trust Management in Healthcare Smartphone Network

Analysis of Feature Selection Methods for UKM-IDS20 Dataset

Blockchain-enabled secure and efficient data sharing scheme for trust management in healthcare smartphone network

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