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Implementation of Robust Privacy-Preserving Machine Learning with Intrusion Detection and Cybersecurity Protection Mechanism

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A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 210))

Abstract

In this work, data mining, and cloud computing problems such as privacy protection, Intrusion detection, identification system have been realizing. Social-Cybersecurity is an evolving science-focused field for characterizing, interpreting, and predicting improvements in human behavior, social, cultural, political outcomes, and development. The cyber-infrastructure is required to sustain its critical existence cyber-mediated knowledge climate under shifting circumstances and cyber threats that are immediate or imminent. When the data moves from the local cloud to another cloud, some security issues automatically arise. At this stage, an advanced robust security system with advanced encryption or decryption algorithm is necessary. At the same time, intrusion may attack the cloud for hacking or modifying the existing information. There an advanced deep learning algorithm is essential to make the cloud efficient. The Logistic net regression Optimization is proposed for cybersecurity and protection. A final performance measures, estimating accuracy,0.952 sensitivity of 0.39, Recall, F1 score 0.54 and processing time.

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Author information

Authors and Affiliations

  1. CSE, Sathyabama Institute of Science and Technology, Chennai, India

    R. Ravikanth & T. Prem Jacob

Authors
  1. R. Ravikanth
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  2. T. Prem Jacob
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Editor information

Editors and Affiliations

  1. Department of Software Engineering, Quaid-e-Awam University of Engineering, Science and Technology (QUEST), Nawabshah, Pakistan

    Pardeep Kumar

  2. Department of Computer Science, University of Kufa, Najaf, Iraq

    Ahmed Jabbar Obaid

  3. Department of Electrical and Electronics Engineering, Trakya University, Edirne, Turkey

    Korhan Cengiz

  4. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India

    Ashish Khanna

  5. Department of Automatics and Applied Software, University of Arad, Arad, Romania

    Valentina Emilia Balas

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Ravikanth, R., Jacob, T.P. (2022). Implementation of Robust Privacy-Preserving Machine Learning with Intrusion Detection and Cybersecurity Protection Mechanism. In: Kumar, P., Obaid, A.J., Cengiz, K., Khanna, A., Balas, V.E. (eds) A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems. Intelligent Systems Reference Library, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-030-76653-5_10

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