CODE 101812 ACADEMIC YEAR 2022/2023 CREDITS 6 cfu anno 1 COMPUTER SCIENCE 10852 (LM-18) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR INF/01 LANGUAGE English TEACHING LOCATION GENOVA SEMESTER 2° Semester TEACHING MATERIALS AULAWEB OVERVIEW This course introduces students to applying forensic science principles and practices for collecting, examining, analyzing and presenting digital evidence. The course includes selected topics from digital forensics and information technology domains. It utilizes lectures, assignments and programming projects to illustrate these topics. We will explore these topics through the use of various open-source and commercial forensic tools. AIMS AND CONTENT LEARNING OUTCOMES Learning how to conduct digital investigations, following the standard process involving identification, acquisition, storage, and analysis of digital evidence. AIMS AND LEARNING OUTCOMES By the end of this course students should be able to: Understand and describe how forensic science is applied to the cyber realm Identify and describe various sources of digital evidence Know how to acquire digital evidence from hard drives and mobile devices Understand file systems and artifacts Conduct forensic analysis of both disk images and mobile devices Identify and describe basic legal principles regarding digital forensics PREREQUISITES Some familiarity with both Windows and Linux. TEACHING METHODS Class lectures and hands-on assignments ("homework") SYLLABUS/CONTENT Digital Forensics Domains Digital Forensics and Digital Evidence definition ISO Standards Digital Forensics Process (Identification, Preservation, Handling, Collection, Acquisition, Preservation, Analysis) Chain of Custody Forensic Aquisition Write blocking ATA Standard Hashing Forensics formats (DD, E01) Partitioning File SystemsFAT and NTFS) The SleuthKit Image Mounting Windows Forensics Windows registry LNK/Jumplists/Shellbags USB Device Analysis Windows Events Mobile Forensics: definition, challenges and guidelines Introduction to Android and iOS Forensics Introduction to Memory Analysis RECOMMENDED READING/BIBLIOGRAPHY Support material and recommended bibliography will be available on AulaWeb. TEACHERS AND EXAM BOARD GIOVANNI LAGORIO Ricevimento: Appointment by email. MATTIA EPIFANI ENRICO RUSSO Exam Board GIOVANNI LAGORIO (President) ENRICO RUSSO (President Substitute) LESSONS Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Oral exam, where both theory and hands-on projects, assigned during the course, will be discussed. ASSESSMENT METHODS The oral examination aims to verify students' actual knowledge, concepts, and theoretical notions covered during the course and their ability to apply these notions to specific contexts. Moreover, the ability to critically re-elaborate the acquired knowledge, the correct application of the models discussed during the course and the formulation of personal reflections, if any, adequately reasoned and motivated, will be considered preferential. Exam schedule Data appello Orario Luogo Degree type Note 30/06/2023 09:00 GENOVA Esame su appuntamento 08/09/2023 09:00 GENOVA Esame su appuntamento