Toward an efficient web service composition based on an improved BTLBO algorithm

Khelil, Hathem; Brahimi, Mahmoud

doi:10.1007/s11227-023-05777-0

J Supercomput

2023

DOI: 10.1007/s11227-023-05777-0

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Toward an efficient web service composition based on an improved BTLBO algorithm

Hathem Khelil,

Mahmoud Brahimi

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2024

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Cited by 2 publications

References 32 publications

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Hybrid deep learning and similarity measures for requirements-driven composition of semantic web services

Bhuvaneswari,

Sumathi,

Sarveshwaran

et al. 2024

Knowl Inf Syst

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Hybrid deep learning and similarity measures for requirements-driven composition of semantic web services

Bhuvaneswari,

Sumathi,

Sarveshwaran

et al. 2024

Knowl Inf Syst

View full text Add to dashboard Cite

Synergistic Approaches to Enhance IoT Intrusion Detection: Balancing Features through Combined Learning

Narayanarao,

Mandapati,

Boddu

2024

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The Internet of Things (IoT) plays a crucial role in ensuring security by preventing unauthorized access, malware infections, and malicious activities. IoT monitors network traffic as well as device behaviour to identify potential threats and take appropriate mitigation measures. However, there is a need for an IoT Intrusion Detection system with enhanced generalization capabilities, leveraging deep learning and advanced anomaly detection techniques. This study presents an innovative approach to IoT IDS that combines SMOTE-Tomek link and BTLBO, CNN with XGB classifier which aims to address data imbalances, improve model performance, reduce misclassifications, and improve overall dataset quality. The proposed IoT IDS system, using the IoT-23 dataset, achieves 99.90% accuracy and a low error rate, all while requiring significantly less execution time. This work represents a significant step forward in IoT security, offering a robust and efficient IDS solution tailored to the changing challenges of the interconnected world.

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Toward an efficient web service composition based on an improved BTLBO algorithm

Cited by 2 publications

References 32 publications

Hybrid deep learning and similarity measures for requirements-driven composition of semantic web services

Hybrid deep learning and similarity measures for requirements-driven composition of semantic web services

Synergistic Approaches to Enhance IoT Intrusion Detection: Balancing Features through Combined Learning

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