Pisano, Marco (A.A. 2022/2023) Machine learning and deep learning: faciong the unknown in cybersecurity processes. Tesi di Laurea in Digital marketing, Luiss Guido Carli, relatore Máximo Ibarra, pp. 63. [Master's Degree Thesis]

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Abstract/Index

Cybersecurity: general aspects and definitions. The context: the importance of security in the contemporary world. Definitions and normative references. Defense against cybercrime. Machine learning and cybersecurity: the state of the art. Machine learning and cybersecurity. Machine learning systems and techniques. Machine learning processes and algorithms. Limitations of machine learning in the cybersecurity field. Deep learning. Origins and development of deep learning. The role of deep learning in cybersecurity. Simplicity, scalability and reusability: the three strengths of deep learning in cybersecurity. Machine learning and deep learning compared. Differences and similarities. Challenges and opportunities.

References

Bibliografia: pp. 48-50.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair:	Digital marketing
Thesis Supervisor:	Ibarra, Máximo
Thesis Co-Supervisor:	Italiano, Giuseppe Francesco
Academic Year:	2022/2023
Session:	Autumn
Deposited by:	Alessandro Perfetti
Date Deposited:	11 Jun 2024 07:57
Last Modified:	11 Jun 2024 07:57
URI:	https://tesi.luiss.it/id/eprint/38860

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