Vol. 4 No. 1 (2024): African Journal of Artificial Intelligence and Sustainable Development
Articles

Artificial Intelligence for Predictive Change Management in Information Systems Projects: Cognitive Authentication Mechanisms for User Verification in Autonomous Vehicles

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  • Dr. Mohamed Azzouzi
Dr. Mohamed Azzouzi
Associate Professor of Computer Science, Cadi Ayyad University, Morocco
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Published 05-04-2024

Keywords

  • emulation,
  • cloning
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Mohamed Azzouzi, “Artificial Intelligence for Predictive Change Management in Information Systems Projects: Cognitive Authentication Mechanisms for User Verification in Autonomous Vehicles”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 1, pp. 106–129, Apr. 2024, Accessed: Nov. 06, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/122

Abstract

The development of secure authentication mechanisms in autonomous vehicles is critical to preventing impersonation attacks, particularly in the context of AI-driven Predictive Change Management frameworks. This paper presents a comprehensive analysis of cognitive authentication mechanisms designed for user verification, addressing the vulnerabilities posed by adversarial attacks on secure Driver Authentication Frameworks (DAF). Our research highlights the lack of standardized methodologies for testing behavior-based defense systems and introduces a novel evaluation framework. By employing both static and dynamic security evaluations, we demonstrate how adversarial simulations can expose security weaknesses in vehicular systems. Furthermore, we propose the use of this framework in adaptive change environments, considering users with cognitive impairments or voice issues, offering a path toward more resilient and user-centered security solutions in project management for autonomous vehicle architectures.

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References

  1. Vemoori, Vamsi. "Envisioning a Seamless Multi-Modal Transportation Network: A Framework for Connected Intelligence, Real-Time Data Exchange, and Adaptive Cybersecurity in Autonomous Vehicle Ecosystems." Australian Journal of Machine Learning Research & Applications 4.1 (2024): 98-131.
  2. Prabhod, Kummaragunta Joel. "AI-Driven Insights from Large Language Models: Implementing Retrieval-Augmented Generation for Enhanced Data Analytics and Decision Support in Business Intelligence Systems." Journal of Artificial Intelligence Research 3.2 (2023): 1-58.
  3. Sadhu, Ashok Kumar Reddy, et al. "Enhancing Customer Service Automation and User Satisfaction: An Exploration of AI-powered Chatbot Implementation within Customer Relationship Management Systems." Journal of Computational Intelligence and Robotics 4.1 (2024): 103-123.
  4. Tatineni, Sumanth. "Applying DevOps Practices for Quality and Reliability Improvement in Cloud-Based Systems." Technix international journal for engineering research (TIJER)10.11 (2023): 374-380.
  5. Perumalsamy, Jegatheeswari, Bhavani Krothapalli, and Chandrashekar Althati. "Machine Learning Algorithms for Customer Segmentation and Personalized Marketing in Life Insurance: A Comprehensive Analysis." Journal of Artificial Intelligence Research 2.2 (2022): 83-123.
  6. Venkatasubbu, Selvakumar, Subhan Baba Mohammed, and Monish Katari. "AI-Driven Storage Optimization in Embedded Systems: Techniques, Models, and Real-World Applications." Journal of Science & Technology 4.2 (2023): 25-64.
  7. Devan, Munivel, Bhavani Krothapalli, and Lavanya Shanmugam. "Advanced Machine Learning Algorithms for Real-Time Fraud Detection in Investment Banking: A Comprehensive Framework." Cybersecurity and Network Defense Research 3.1 (2023): 57-94.
  8. Althati, Chandrashekar, Bhavani Krothapalli, and Bhargav Kumar Konidena. "Machine Learning Solutions for Data Migration to Cloud: Addressing Complexity, Security, and Performance." Australian Journal of Machine Learning Research & Applications 1.2 (2021): 38-79.
  9. Selvaraj, Amsa, Bhavani Krothapalli, and Lavanya Shanmugam. "AI and Machine Learning Techniques for Automated Test Data Generation in FinTech: Enhancing Accuracy and Efficiency." Journal of Artificial Intelligence Research and Applications 4.1 (2024): 329-363.
  10. Konidena, Bhargav Kumar, Jesu Narkarunai Arasu Malaiyappan, and Anish Tadimarri. "Ethical Considerations in the Development and Deployment of AI Systems." European Journal of Technology 8.2 (2024): 41-53.
  11. Devan, Munivel, et al. "AI-driven Solutions for Cloud Compliance Challenges." AIJMR-Advanced International Journal of Multidisciplinary Research 2.2 (2024).
  12. Katari, Monish, Gowrisankar Krishnamoorthy, and Jawaharbabu Jeyaraman. "Novel Materials and Processes for Miniaturization in Semiconductor Packaging." Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023 2.1 (2024): 251-271.
  13. Tatineni, Sumanth, and Naga Vikas Chakilam. "Integrating Artificial Intelligence with DevOps for Intelligent Infrastructure Management: Optimizing Resource Allocation and Performance in Cloud-Native Applications." Journal of Bioinformatics and Artificial Intelligence 4.1 (2024): 109-142.
  14. Katari, Monish, Lavanya Shanmugam, and Jesu Narkarunai Arasu Malaiyappan. "Integration of AI and Machine Learning in Semiconductor Manufacturing for Defect Detection and Yield Improvement." Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023 3.1 (2024): 418-431.
  15. Prakash, Sanjeev, et al. "Achieving regulatory compliance in cloud computing through ML." AIJMR-Advanced International Journal of Multidisciplinary Research 2.2 (2024).
  16. Peddisetty, Namratha, and Amith Kumar Reddy. "Leveraging Artificial Intelligence for Predictive Change Management in Information Systems Projects." Distributed Learning and Broad Applications in Scientific Research 10 (2024): 88-94.
  17. Venkataramanan, Srinivasan, et al. "Leveraging Artificial Intelligence for Enhanced Sales Forecasting Accuracy: A Review of AI-Driven Techniques and Practical Applications in Customer Relationship Management Systems." Australian Journal of Machine Learning Research & Applications 4.1 (2024): 267-287.
  18. Althati, Chandrashekar, Jesu Narkarunai Arasu Malaiyappan, and Lavanya Shanmugam. "AI-Driven Analytics: Transforming Data Platforms for Real-Time Decision Making." Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023 3.1 (2024): 392-402.
  19. Makka, A. K. A. “Administering SAP S/4 HANA in Advanced Cloud Services: Ensuring High Performance and Data Security”. Cybersecurity and Network Defense Research, vol. 2, no. 1, May 2022, pp. 23-56, https://thesciencebrigade.com/cndr/article/view/285.
  20. Venkatasubbu, Selvakumar, and Gowrisankar Krishnamoorthy. "Ethical Considerations in AI Addressing Bias and Fairness in Machine Learning Models." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 1.1 (2022): 130-138.