ID:
ET11
Tipo Insegnamento:
Opzionale
Durata (ore):
48
CFU:
6
SSD:
SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
Url:
MANAGEMENT AND COMPUTER SCIENCE/BASE Anno: 3
Anno:
2023
Dati Generali
Periodo di attività
Secondo Semestre (05/02/2024 - 04/05/2024)
Syllabus
Obiettivi Formativi
As cybercrime continues to be a growing threat to critical-business infrastructure, global economies, and financial stability, there is a need for vigilance across all sectors, geographies, and industries. There are many techniques, tools, and technologies that telcos/oil&gas/financial services organizations can employ to protect their infrastructure, data, and people from a compromise. On occasion, it appears as if there is a surfeit of such techniques, tools, and technologies—and the number of available solutions is overwhelming to even the largest global organizations, and even more so to those who do not have mature, well-funded, and well-staffed security organizations. As global threats continue to increase in volume and complexity, it is often important to make certain we are doing the basics well: this course exactly aims to provide the basics of cybercrime technology and economics and fraud analysis/detection.
Prerequisiti
Although they are not prerequisites, the following courses are warmly recommended:
-Cybersecurity Essentials LOFT at LUISS Guido Carli
-Rapidminer Academy: Certification of Professional Machine Learning, Professional Data Engineering, Professional Application and Use cases
-Cybersecurity Essentials LOFT at LUISS Guido Carli
-Rapidminer Academy: Certification of Professional Machine Learning, Professional Data Engineering, Professional Application and Use cases
Metodi didattici
Traditional and Reverse teaching, through experiential classes with project-oriented approach
Verifica Apprendimento
Grade is assessed based on
-Project team works assigned during the classes (60%)
-Final Test (40%)
The student will be evaluated on the basis of the individual scores achieved on:
• Presentation or discussion of a case study (group work) 80% with which to verify the property of cyber/fraud language, as well as the ability to consult and evaluate the relevant sources of the subject;
• final written exam (individual) 20% through which to assess the knowledge and understanding of teaching and the autonomy of judgment
The written test consists of a mix of open-ended questions, multiple choice questions and exercises, with which the student have to demonstrate knowledge of the theoretical notions of teaching (xxx), knowing how to apply them in practical cases demonstrating that he has achieved the method of study and the learning ability necessary to continue the study of the subject autonomously.
The failure to achieve at least the score of 18/30 will result in failure to pass the exam.
Correct answers to all multiple-choice questions, an excellent level of preparation in all open questions and the correct execution of all the exercises will result in a score of 30/30 cum laude.
-Project team works assigned during the classes (60%)
-Final Test (40%)
The student will be evaluated on the basis of the individual scores achieved on:
• Presentation or discussion of a case study (group work) 80% with which to verify the property of cyber/fraud language, as well as the ability to consult and evaluate the relevant sources of the subject;
• final written exam (individual) 20% through which to assess the knowledge and understanding of teaching and the autonomy of judgment
The written test consists of a mix of open-ended questions, multiple choice questions and exercises, with which the student have to demonstrate knowledge of the theoretical notions of teaching (xxx), knowing how to apply them in practical cases demonstrating that he has achieved the method of study and the learning ability necessary to continue the study of the subject autonomously.
The failure to achieve at least the score of 18/30 will result in failure to pass the exam.
Correct answers to all multiple-choice questions, an excellent level of preparation in all open questions and the correct execution of all the exercises will result in a score of 30/30 cum laude.
Testi
Title:
Contenuti
The course will consist of twentyfour two-hour sessions covering:
-Cybercrime basics
-Tools and techniques of cybercrime
-Costs and harms of cybercrime
-Criminal marketplaces
-Cybercrime offenders and offender pathways
-Cybercrime prevention
-Regulation and policy
-Cybercrime and the legal framework
Fraud analysis/detection:
-Setting the stage on fraud detection, prevention, and analytics, starting by defining fraud and then zooming into fraud detection and prevention;
-extensive discussion on the basic ingredient of any fraud analytical model: data! Introduction to various types of data sources and discusses how to merge and sample them;
-exploration of the use of descriptive/predictive analytics for fraud detection/prevention;
-introduction to social network analysis and its use for fraud detection/prevention
-Cybercrime basics
-Tools and techniques of cybercrime
-Costs and harms of cybercrime
-Criminal marketplaces
-Cybercrime offenders and offender pathways
-Cybercrime prevention
-Regulation and policy
-Cybercrime and the legal framework
Fraud analysis/detection:
-Setting the stage on fraud detection, prevention, and analytics, starting by defining fraud and then zooming into fraud detection and prevention;
-extensive discussion on the basic ingredient of any fraud analytical model: data! Introduction to various types of data sources and discusses how to merge and sample them;
-exploration of the use of descriptive/predictive analytics for fraud detection/prevention;
-introduction to social network analysis and its use for fraud detection/prevention
Risultati di Apprendimento Attesi
Knowledge and understanding: The student - by participating in the lectures and practical activities of the course - will have developed the ability to understand thethreats, risks, countermeasures in the field of cybercrime. Moreover, the students will understand the basic techniques to analyze frauds, with qualitative and quantitative methods: fraud analysis/detection cases will offer the opportunity to build an analytical capacity to cope with cybercrime-related frauds.
At the end of the course there will be a written test.
Applying knowledge and understanding: The student - acquiring the correct tools and method - will be able to identify cybercrime phenomenons, interpret fraud dataset, apply Machine learning models and present the results, but also analyze easy practical cases. At the end of the course there will be a written test.
Making judgements: The student, through the use of the methodologies acquired during the course, will have acquired problem analysis skills and the ability to identify the information necessary for their solution. Specifically, critical and computational thinking, problem solving, self-management, teamwork, relationship and communication skills will be adequately developed, which enhance and make the disciplinary skills more usable.
Communication skills: At the end of the course the student will be able to use the business and technical vocabulary of cybercrime and fraud analysis, addressing the legal issues at hand with terminological accuracy. Through the various activities that will take place during the course – lessons with discussion, laboratories, workshops – the student will be able to put these communication skills into practice in various contexts, by adapting the terms used to the interlocutor in the specific case, thus gaining advanced rhetorical skills necessary for his/her professional career.
Learning skills: The technical-cybersecurity knowledge acquired during the course will allow the student to autonomously understand and interpret cyberattacks techniques and machine learning techniques to be adapted to the specific reference context. The student will develop a solid knowledge of the fundamental aspects of the subject that will allow her/him to continue to deepen the topics addressed independently and to undertake the various post-graduate professional training courses.
At the end of the course there will be a written test.
Applying knowledge and understanding: The student - acquiring the correct tools and method - will be able to identify cybercrime phenomenons, interpret fraud dataset, apply Machine learning models and present the results, but also analyze easy practical cases. At the end of the course there will be a written test.
Making judgements: The student, through the use of the methodologies acquired during the course, will have acquired problem analysis skills and the ability to identify the information necessary for their solution. Specifically, critical and computational thinking, problem solving, self-management, teamwork, relationship and communication skills will be adequately developed, which enhance and make the disciplinary skills more usable.
Communication skills: At the end of the course the student will be able to use the business and technical vocabulary of cybercrime and fraud analysis, addressing the legal issues at hand with terminological accuracy. Through the various activities that will take place during the course – lessons with discussion, laboratories, workshops – the student will be able to put these communication skills into practice in various contexts, by adapting the terms used to the interlocutor in the specific case, thus gaining advanced rhetorical skills necessary for his/her professional career.
Learning skills: The technical-cybersecurity knowledge acquired during the course will allow the student to autonomously understand and interpret cyberattacks techniques and machine learning techniques to be adapted to the specific reference context. The student will develop a solid knowledge of the fundamental aspects of the subject that will allow her/him to continue to deepen the topics addressed independently and to undertake the various post-graduate professional training courses.
Criteri Necessari per l'Assegnazione del Lavoro Finale
Top level mark in the course /good knowledge in some computer systems
topics (although out of the scope of the course) constitute a prerequisite for
thesis assignment.
topics (although out of the scope of the course) constitute a prerequisite for
thesis assignment.
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3 anni
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