journal article·2024Open access

Cuckoo Search-Optimized Deep CNN for Enhanced Cyber Security in IoT Networks

Brij B. Gupta, Ahmed Alhomoud, Kwok Tai Chui, Akshat Gaurav, Varsha Arya, Razaz Waheeb Attar, Shavi Bansal

Computers, Materials & Continua· Volume 81· Issue 3

Abstract

Phishing attacks seriously threaten information privacy and security within the Internet of Things (IoT) ecosystem. Numerous phishing attack detection solutions have been developed for IoT; however, many of these are either n... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Video Surveillance and Tracking Methods · Biometric Identification and Security · Smart Systems and Machine Learning

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (32)

Show source-provided references
1. Analysis of the effect of the reliability of the NB-IoT network on the intelligent system10.1109/ACCESS.2019.2932870 ↗
2. Phishing website detection with semantic features based on machine learning classifiers: A comparative study10.4018/IJSWIS.297032 ↗
3. Phishing detection: Analysis of visual similarity based approaches10.1155/2017/5421046 ↗
4. Phishing attacks: Detection and prevention techniques
5. A review on iot intrusion detection systems using supervised machine learning: Techniques, datasets, and algorithms10.21928/uhdjst.v7n1y2023.pp53-65 ↗
6. Defending against phishing attacks: Taxonomy of methods, current issues and future directions10.1007/s11235-017-0334-z ↗
7. False alert detection based on deep learning and machine learning10.4018/IJSWIS.313190 ↗
8. A machine learning based approach for phishing detection using hyperlinks information10.1007/s12652-018-0798-z ↗
9. Towards detection of phishing websites on client-side using machine learning based approach10.1007/s11235-017-0414-0 ↗
10. A hybrid framework using explainable AI (XAI) in cyber-risk management for defence and recovery against phishing attacks10.1016/j.dss.2023.114102 ↗
11. Malware threat on edge/fog computing environments from internet of things devices perspective10.1109/ACCESS.2023.3262614 ↗
12. A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment10.1016/j.comcom.2021.04.023 ↗
13. PHISH-SAFE: URL features-based phishing detection system using machine learning
14. Hybrid stacked autoencoder with dwarf mongoose optimization for Phishing attack detection in internet of things environment10.1016/j.aej.2024.06.070 ↗
15. Preemptive cyber response strategy and iot forensic evidence10.14257/ijast.2018.117.11 ↗
16. Towards a safer internet of things-a survey of iot vulnerability data sources10.3390/s20215969 ↗
17. Phishing website prediction by using cuckoo search as a feature selection and random forest and BF-tree classifier as a classification method
18. Visual and textual features based email spam classification using S-Cuckoo search and hybrid kernel support vector machine10.1007/s10586-017-1615-8 ↗
19. Intelligent deep learning based cybersecurity phishing email detection and classification
20. ISHO: Improved spotted hyena optimization algorithm for phishing website detection10.1007/s11042-021-10678-6 ↗
21. Spark-based multi-verse optimizer as wrapper features selection algorithm for phishing attack challenge
22. Particle swarm optimization-based feature weighting for improving intelligent phishing website detection
23. Phishing website detection using support vector machines and nature-inspired optimization algorithms10.1007/s11235-020-00739-w ↗
24. Phishing emails detection using CS-SVM
25. SI-BBA–A novel phishing website detection based on Swarm intelligence with deep learning
26. Cuckoo search via Lévy flights
27. Oliphant · Guide to Numpy · 2006 · 1
28. PyTorch
29. Scikit-learn
30. MEALPY: An open-source library for latest meta-heuristic algorithms in Python10.1016/j.sysarc.2023.102871 ↗
31. E. Chand, “Phishing website Detector,” 2023. Accessed: Jan. 30, 2024. [Online]. Available: https://www.kaggle.com/datasets/eswarchandt/phishing-website-detector
32. SMOTE for high-dimensional class-imbalanced data