Significance of AI Algorithms in DSP-based Applications to Improve Autonomous Navigation, Target Detection and Cyber Security Enhancements
Keywords:
Cyber security, Deep learning, Machine learning, Oceanography applications, Under water communicationsAbstract
AI algorithms play a crucial role in enhancing the performance and capabilities of traditional firmware-based systems in submarine and defense applications. By integrating AI, these systems become more autonomous, accurate, and resilient, addressing the challenges of modern warfare and complex operational environments. The ongoing trends towards hybrid systems, swarm intelligence, and real-time data fusion indicate a significant shift towards more intelligent and adaptive defense platforms, ensuring that they remain effective in the face of evolving threats and cyber security.
References
A. B. Rashid, A. K. Kausik, A. Hassan, and M. H. Bappy, “Artificial Intelligence in the Military: An Overview of the Capabilities, Applications, and Challenges,” International Journal of Intelligent Systems, vol. 2023, no. 1, pp. 1–31, Nov. 2023, doi: https://doi.org/10.1155/2023/8676366.
S. Gawde, S. Patil, S. Kumar, P. Kamat, and K. Kotecha, “An explainable predictive maintenance strategy for multi-fault diagnosis of rotating machines using multi-sensor data fusion,” Decision Analytics Journal, pp. 100425–100425, Feb. 2024, doi: https://doi.org/10.1016/j.dajour.2024.100425.
L. H. Christensen, J. de, M. Hildebrandt, C. Ernst, and B. Wehbe, “Recent Advances in AI for Navigation and Control of Underwater Robots,” Springer Nature, vol. 3, no. 4, pp. 165–175, Aug. 2022, doi: https://doi.org/10.1007/s43154-022-00088-3.
Y. Zhu, “Target Detection Based on Deep Learning,” Journal of Physics: Conference Series, vol. 2181, no. 1, p. 012014, Jan. 2022, doi: https://doi.org/10.1088/1742-6596/2181/1/012014.
J. Li, “Cyber security meets artificial intelligence: a survey,” Frontiers of Information Technology & Electronic Engineering, vol. 19, no. 12, pp. 1462–1474, Dec. 2018, doi: https://doi.org/10.1631/fitee.1800573.
S. B.S., N. S., N. Kashyap, and S. D.N., “Providing Cyber Security using Artificial Intelligence – A survey,” 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC), Mar. 2019, doi: https://doi.org/10.1109/iccmc.2019.8819719.
R. Kaur, D. Gabrijelčič, and T. Klobučar, “Artificial intelligence for cybersecurity: Literature review and future research directions,” Information Fusion, vol. 97, no. 101804, pp. 1–29, 2023, doi: https://doi.org/10.1016/j.inffus.2023.101804.
K.-H. Chang, “Natural Language Processing: Recent Development and Applications,” Applied Sciences, vol. 13, no. 20, p. 11395, Jan. 2023, doi: https://doi.org/10.3390/app132011395.
