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@article{167063,
        author = {Ashi Parashar },
        title = {Detection of Cyber- Attacks in Cloud Computing using Cascaded Machine Learning Algorithm },
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {3},
        pages = {234-239},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=167063},
        abstract = {Machine learning-based algorithms boost the detection capacity of cyberattacks in cloud computing. The multi-integration of cloud networks makes them vulnerable to cyberattacks. This paper proposes a cascaded machine learning algorithm for cyberattack detection. The proposed cascaded algorithm is a two-stage enhancement of the support vector machine. The proposed algorithm simulates in MATLAB tools and validates with reputed datasets of cloud cyber-attacks. The proposed algorithm results were compared with existing algorithms such as RNN and LSTM. The analysis of the results suggests that the proposed algorithm is efficient for the detection of cyberattacks in cloud computing.},
        keywords = {Cloud Computing, Cyber-attacks, Machine Learning, Detection, virtual machine. },
        month = {August},
        }