Identifying Data 2019/20
Subject (*) Forensic Analysis of Devices Code 614530012
Study programme
Máster Universitario en Ciberseguridade
Descriptors Cycle Period Year Type Credits
Official Master's Degree 2nd four-month period
First Optional 3
Language
Spanish
Galician
Teaching method Face-to-face
Prerequisites
Department Ciencias da Computación e Tecnoloxías da Información
Computación
Coordinador
Vázquez Naya, José Manuel
E-mail
jose.manuel.vazquez.naya@udc.es
Lecturers
Vázquez Naya, José Manuel
E-mail
jose.manuel.vazquez.naya@udc.es
Web http://faitic.uvigo.es
General description A análise forense de equipos consiste na aplicación de técnicas científicas e analíticas para identificar, preservar, analizar e presentar datos que sexan válidos dentro dun proceso legal.

A materia "Análise Forense de Equipos" ten unha forte compoñente práctica. Comezarase con unha introdución a este campo, explicando conceptos clave. A continuación, estudiaranse fundamentos e metodoloxías de análise forense dende un punto de vista xenérico e aplicable a novos casos, pero tamén se estudiarán exemplos concretos baseados en casos reais. Paralelamente, nas prácticas de laboratorio o/a alumno/a aprenderá a manexar diferentes ferramentas de análise forense e realizará prácticas simulando problemas reais.

Study programme competencies
Code Study programme competences
A6 CE6 - To develop and apply forensic research techniques for analysing incidents or cybersecurity threats
B1 CB1 - To possess and understand the knowledge that provides the foundations and the opportunity to be original in the development and application of ideas, frequently in a research context
B2 CB2 - Students will be able to apply their knowledge and their problem-solving ability in new or less familiar situations, within a broader context (or in multi-discipline contexts) related to their field of specialization
B3 CB3 - Students will be able to integrate diverse knowledge areas, and address the complexity of making statements on the basis of information which, notwithstanding incomplete or limited, may include thoughts about the ethical and social responsibilities entailed to the application of their professional capabilities and judgements
B7 CG2 - Ability for problem-solving. Ability to solve, using the acquired knowledge, specific problems in the technical field of information, network or system security
C4 CT4 - Ability to ponder the importance of information security in the economic progress of society

Learning aims
Learning outcomes Study programme competences
Coñecemento das metodoloxías adecuadas para a realización de traballos forenses con validez legal AJ6
BJ1
CJ4
Capacidade para a realización de análise forense dos diferentes elementos que forman un sistema de información, en múltiples plataformas e sistemas operativos AJ6
BJ2
BJ7
CJ4
Capacidade para xerar informes como resultado da análise forense claros, concisos e intelixibles tanto por expertos como por persoas alleas ao ámbito da seguridade informática AJ6
BJ3
BJ7
CJ4

Contents
Topic Sub-topic
1. Forensic Analysis Fundamentals Introduction
Fundamentals
Normative
Cloning
2. Windows Forensic Analysis Artifacts
Memory
Tools
Advanced Forensic Analysis
3. Mac OS Forensic Analysis Artifacts
Memory
Tools
Advanced Forensic Analysis
4. Mobile Devices Forensic Analysis (Android) Artifacts
Tools
Advanced Forensic Analysis
5. Mobile Devices Forensic Analysis (iOS) Artifacts
Tools
Advanced Forensic Analysis

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Guest lecture / keynote speech A6 C4 11 22 33
Laboratory practice A6 B1 B2 B3 B7 C4 10 20 30
Objective test A6 B1 B2 B3 B7 C4 2 0 2
 
Personalized attention 10 0 10
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies Description
Guest lecture / keynote speech Expositive classes for the presentation of the theoretical knowledge of each one of the subjects. The participation of students will be encouraged.
Laboratory practice Practical sessions in computer, in which a series of practical exercises bulletins proposed by the professor must be solved. The exercises seek to consolidate the knowledge presented in the lectures and also encourage the student's autonomous learning.
Once the exercise bulletin is completed, the teacher will evaluate the work done by the student through a computer session.
The exercise bulletins will be published through the Master's training platform. A maximum defense date will be imposed for each newsletter, with the aim of encouraging continuous study.
Objective test Written test through which the knowledge and skills acquired by the student will be assessed.

Personalized attention
Methodologies
Laboratory practice
Description
Resolution of doubts

Assessment
Methodologies Competencies Description Qualification
Laboratory practice A6 B1 B2 B3 B7 C4 Realization and defense of the practices in computer, during the hours of practices and before the established deadline.
It is a necessary condition (but not sufficient) to obtain a minimum score of 4 out of 10 in the practices in order to overcome the subject
40
Objective test A6 B1 B2 B3 B7 C4 At the end of the semester, there will be a written test that will assess the knowledge and skills acquired by the student.

It is a necessary condition (but not sufficient) to obtain a minimum score of 5 out of 10 in the objective test in order to overcome the subject
60
 
Assessment comments

1. FIRST CALL

Students may decide to be evaluated according to a continuous or single assesment model. It will be understood that a student chooses a continuous evaluation when defending the first of the practices of the subject. Once students choose the continuous assessment model, their grade can never be "No Show".

1.a) Continuous assesment

It consists in the realization and defense of a series of laboratory practices, during the entire period in which the subject is taught, and in the performance of an objective test, whose characteristics are described above.

The qualification will be the result of applying the weighted average between the results: (i) Objective test (60%) and (ii) laboratory practices (40%).

2.a) Single assesment

It consists in carrying out an objective test, with the same characteristics as that corresponding to continuous assesment. And, in addition, another written test, which will be done next, on the practical part, and that will have the same weight as this part in the continuous evaluation.

The evaluation of laboratory practices is only kept during the academic year.

The theory exam mark is not preserved.

3. PLAGIARISM

If plagiarism is detected in any of the evaluation tests, the final grade of the subject will be "failed (0)", which will be communicated to the faculty's direction to take the appropriate measures.




Sources of information
Basic Eoghan Casey (2009). Handbook of Digital Forensics and Investigation. Academic Press
Pilar Vila Avendaño (2018). Técnicas de Análisis Forense informático para Peritos Judiciales profesionales. Madrid : 0xWORD

Complementary Juan Garrido Caballero, Juan Luis García Rambla, Chema Alonso (2012). Análisis forense digital en entornos windows. Móstoles: Informática64
Rohit Tamma, Donnie Tindall (2015). Learning Android Forensics. Packt Publishing
Mattia Epifani, Pasquale Stirparo (2016). Learning iOS Forensics, 2nd Edition. Packt Publishing


Recommendations
Subjects that it is recommended to have taken before

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus

Other comments


(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.