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UniversidaddeCádiz
Digital Forensics Evidence Analysis via Intelligent Systems and Practices

TRAINING SCHOOL 2022

Training school on Digital forensics: evidence analysis via intelligent systems and practices

WHAT: Traning School 
WHEN: 3-7 October, 2022
WHERE: Napoli (Italy)


Venue (From Monday to Thursday): Hotel Royal Continental 

Location: Via Partenope, 38, 80121 Napoli NA, Italia

Venue (Friday): Università degli Studi di Napoli Parthenope

Location: Pacanowski building (Via G. Parisi 13)


Description

This third training school is focused on digital forensics, and particularly evidence analysis via intelligent systems and practices. The trainees will mainly be young students in order to achieve the needed knowledge and capacities in order to foster the synergies among digital forensics (DF) and artificial intelligence/automated (AI/AR) reasoning researchers and, in parallel, achieve the main goals of the Action.

Outputs
Increase the knowledge and capacities of PhD Students and ECI of the Action on Digital Forensic, and foster the synergies among DF and AI/AR researchers.

Grant Period Goal(s) it will address
G1. Continue introducing researchers in AI and Automated Reasoning to the main issues and problems in the daily work of digital forensics scientists and the technical, legal and criminological aspects they involve. (O1, O7),G2. Identify more relevant test data for researching. Define more challenges to encourage to researchers in AI and Automated Reasoning to develop some solutions. (O2, O5),G4. Continue creating synergies between Digital Forensic Challenges and AI and AR. (O3 and O4)

FIVE MINUTES-THESIS SESSION

https://digforasp.uca.es/five-minutes-thesis-session/


Lunches and welcome reception (attendance)

https://digforasp.uca.es/lunches-and-welcome-reception-attendance-training-school-2022/

Program of the Training School

Agenda TS Naples2022

Monday 

  • 08:30-09:30 Open Registration Desk
  • 09:30-10:00 Welcome from COST Action CA17124
  • 10:00-11:00 Presentation 1 (ESCIM2022): Marek Reformat, Evidence Theory Approach to Determine States of Hierarchical System
  • 11:00-11:20 Coffe break
  • 11:20-12:30 Session 1 (ESCIM2022)
  • 12:30-13:30 Session 2 (ESCIM2022)
  • 13:30-14:40 Lunch
  • 14:40-15:40 Round Table: Interactions between computational intelligence and mathematics
  • 15:40-16:00 Coffe Break
  • 16:00-17:40 Session 3 (ESCIM2021)
  • 17:40-18:40 Presentation 2 (ESCIM2022): Luigi Romano, Hardware-assisted Trusted Computing: State of The Art and Emerging Use Cases
  • 18:40-19:30 Tutorial 1: Jesús Medina, COST Action DigForASP. Goals and achievements

Tuesday

  • 09:00-9:50 Presentation 3 (ESCIM2022): Irina Perfilieva, Fuzzy sets as manifolds – a new direction in data analysis
  • 9:50-10:30 Tutorial 2: Raffaele Olivieri, Digital Forensics: Traditional analysis vs DigForASP approach
  • 10:30-11:00 Tutorial 3: Francisco José Ocaña, COST Action DigForASP. Rules
  • 11:00-11:30 Coffe Break
  • 11:30-13:30 Tutorial 4: Stevan Gostojic, Autopsy Tutorial
  • 13:30-15:00 Lunch
  • 15:00-17:00 Your DigForASP PhD in 5 minutes, Chairperson: Alexandra Dedinec. Raffaele Olivieri. Jesús Medina
  • 17:00-18:00 Tutorial 5: Radina Stoykova , Reliability validation of digital forensic processing

Wednesday 

  • 10:00-11:00 Presentation 4 (ESCIM2022): Stefania Costantini, Digital Forensics: a case for Neuro-Symbolic approaches
  • 11:00-11:20 Coffe Break
  • 11:20-13:30 Session 6 (ESCIM2022)
  • 13:30-15:00 Lunch
  • 15:00-18:30 DigForASP Workshop. Abstracts

Thursday

  • 09:00-11:00 DigForASP Workshop. Abstracts
  • 11:00-11:30 Coffe Break
  • 11:30-13:30 Tutorial 6 : Chiara Gallese, AI Ethics and Law in Digital Forensics
  • 13:30-15:00 Lunch
  • 15:00-16:00 Tutorial 7 : Dévika Perez, Limits and legislative challenges of artificial intelligence-based tools for evidence gathering
  • 16:00-18:00 Tutorial 8 : Piotr Kowalski, Exploratory analysis of forensic data

    Friday 

    • 09:00-11:00 Tutorial 8: Aleksandar Jevremovic, Using EdgeAI to process sensitive data, and preserve privacy and digital evidences
    • 11:00-11:30 Coffe Break
    • 11:30-13:30 Tutorial 9: Ivana Štajner-Papuga, There is something fuzzy in digital forensics
    • 13:30-15:00 Closing

    You can consult the ESCIM2022 program in the following link: ProgramESCIM2022 VF DigForASP


    Short CV of the teachers

     

    Stevan Gostojić

    Prof. dr Stevan Gostojić holds a Ph.D. in electrical and computer engineering from University of Novi Sad. He is an associate professor of applied computer science and informatics at Faculty of Technical Sciences in Novi Sad where he heads the Digital Forensics Laboratory founded to support teaching, research and provision of digital forensics services. He also works as a court appointed IT expert witness from 2014, mainly working as a digital forensics examiner in the fields of computer forensics, mobile forensics, and application forensics.

     

    Radina Stoykova 

    Radina R. Stoykova – Adi is currently an assistant professor in the University of Groningen. She holds a PhD degree in law from the University of Groningen (RUG), the Netherlands and a PhD degree in IT security from the Norwegian University of Science and Technology (NTNU), Norway. The PhD research was focused on reliability of  digital forensics for criminal proceedings and fair trial compliance. It was conducted in cooperation with the Norwegian police and the Institute of Legal Informatics and Judicial Systems, Florence, Italy. Adi has also an LL.M. in IT and IP Law from Leibniz University Hannover, Germany. She won the best Master Thesis Award in data protection by Deutsche Gesellschaft für Recht und Informatik (DGRI).

     

    Chiara Gallese

    Chiara Gallese is a postdoctoral research fellow in the UNI 4 JUSTICE project at University of Trieste’s Department of Mathematics and Geosciences, guest researcher in the RAISE project at the Department of Electrical Engineering at Eindhoven University of Technology, and research fellow in the REMIDE project at the School of Engineering at Carlo Cattaneo University – LIUC. She holds a Ph.D. from Ca’ Foscari University of Venice (2017). She is also a privacy expert (CIPP/E) and an attorney admitted to the Italian bar in 2015. Her research focuses on Privacy, AI & Law, Law & Technology.

     

    Dévika Medina Pérez

    PhD student in Criminal Law at the University of Cadiz. Coordinator of the Commission on New Technologies, Law and Digital Society of the Institute of Public Law of the University of Barcelona. She has coordinated and formed part of legal research teams in H2020 projects on Artificial Intelligence, new technologies and security. Main research areas are cryptocurrencies and criminal law and the impact of new technologies on fundamental rights and the European legal framework.

     

    Piotr Kowalski

    Piotr A. Kowalski is university professor at the Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, as well as at the Systems Research Institute of the Polish Academy of Sciences. He received his MSc in Teleinformatics (with honours) and Automatic Control (with honours) from the Cracow University of Technology in 2003 and his Ph.D. in Data Science from the Polish Academy of Science, in 2009. In 2018, he received D.Sc. in Artificial Neural Networks from the Systems Research Institute of the Polish Academy of Sciences.
    His research interests are in the area of information technology and are focused on intelligent methods (neural networks, fuzzy systems and nature-inspired algorithms) with application to complex systems and knowledge discovery.  Since 2018, he is a member of the management group and leads the conference grant for young scientists at Cost Action 17124 DigForAsp (Digital forensics: evidence analysis via intelligent systems and practices), which is funded by the European Cooperation in Science and Technology.

     

    Aleksandar Jevremovic

    Aleksandar Jevremovic is currently a Full Professor with the Faculty of Informatics and Computing, Singidunum University, Belgrade, Serbia; a Guest Lecturer with Harvard University, Cambridge, MA, USA; and a Visiting Research Fellow with Cyprus Interaction Laboratory, Limassol, Cyprus. He is also recognized as an Expert Level Instructor at Cisco Networking Academy Program. So far, he has authored/coauthored number of research articles and made contributions to three books about computer networks, computer network security, and web development. Since 2018, he has been serving as a Serbian Representative at the Technical Committee on Human–Computer Interaction, UNESCO International Federation for Information Processing (IFIP).

     

    Ivana Štajner-Papuga

    Dr. Ivana Štajner-Papuga is a full professor at the University of Novi Sad, Faculty of Sciences, Department of Mathematics and Informatics. Her fields of interest are Fuzzy Systems; Decision Making Theory; Aggregation Operators; Measure Theory – non-additive set functions; applications; Statistics. She is an expert in fuzzy measures and integral aggregation operators. She took part in several research projects and was the project manager and the lead investigator of one dedicated to fuzzy measure based mathematical tools in Decision-Making problems.
    Ivana Štajner-Papuga is the author of over 30 papers published in international journals. Also, she participated with presentations at over 30 international conferences and is the Technical Program Committee Chair for IEEE International Symposium on Intelligent Systems and Informatics since 2013.


    Training School Committee

    • Aleksandra Dedinec (coordinator)
    • Andrii Shalaginov
    • David Pearce
    • Jesús Medina
    • Pedro Cabalar
    • Raffaele Olivieri
    • Stefania Costantini
    • Szilvia Nagy

    Local Organizing Committee

    • To be announced