A threat intelligence grading system for the financial sector
Buscemi, Andrea (A.A. 2022/2023) A threat intelligence grading system for the financial sector. Tesi di Laurea in Data privacy and security, Luiss Guido Carli, relatore Paolo Spagnoletti, pp. 58. [Master's Degree Thesis]
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Abstract/Index
The intelligence cycle. Focus: processing phase. Deeper focus evaluation (NATO admiralty system). Open-source intelligence (OSINT). Introduction to cyber threat intelligence. Cyber threat intelligence in the financial sector. Literature review. NATO comprehensive review. Lack of independence between scores and multiple dimensions in a single score. Readability and limited criteria. Communication and criteria. PSD2–revised guidelines for major incidents reporting. A new and expanded intelligence grading system for the financial sector. Methodology. Rationale and grading tables. Learning from literature critiques to NATO code. How should threat be evaluated. What can be improved. Evaluating the new system. Explicate the goals. Choose a strategy for the evaluation. Determine the properties to evaluate. Design the individual evaluation episode(s). Fictitious scenario (expository instantiation).
References
Bibliografia: pp. 56-58.
| 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: | Data privacy and security |
| Thesis Supervisor: | Spagnoletti, Paolo |
| Thesis Co-Supervisor: | Finocchi, Irene |
| Academic Year: | 2022/2023 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 06 Jun 2024 07:20 |
| Last Modified: | 06 Jun 2024 07:20 |
| URI: | https://tesi.luiss.it/id/eprint/38731 |
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