The 6th International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2021

Program of the Workshop 2022

Date: 17.12.2022

Time (GMT +9)	Time (CET)	Title of the talk	Presenter/Author
09:00-09:05	01:00-01:05	Opening Remarks and Welcome	Andrii Shalaginov
09:05-09:45	01:05-01:45	Cybersecurity in Europe - A police research perspective: S4ALLCITIES and CC-DRIVER projects	Keynote speaker: José L. Diego , Valencia Local Police, Spain
09:45-10:10	01:45-02:10	S09202: On the Potential of Using ERP Business and System Data for Fraud Detection	Jonas Schnepf, Paula Vetter, Tarik Temel, Bernd Scheuermann, and Lars Schmidt-Thieme
10:10-10:35	02:10-02:35	S09203: Evaluating Anti-Virus Effectiveness in Linux	Giuseppe Raffa, Daniele Sgandurra, and Daniel O'Keeffe
10:35-11:00	02:35-03:00	S09204: DBNex: Deep Belief Network and Explainable AI based Financial Fraud Detection	Abhimanyu Bhowmik, Madhushree Sannigrahi, Deepraj Chowdhury, Ashutosh Dhar Dwivedi, and Raghava Rao Mukkamala
11:00-11:15	03:00-03:15	Coffee Break
11:15-11:40	03:15-03:40	S09207: Investigating User Information and Social Media Features in Cyberbullying Detection	Jiabao Qiu, Nihar Hegde, Melody Moh, and Teng-Sheng Moh
11:40-12:05	03:40-04:05	S09209: Threat Miner - A Text Analysis Engine for Threat Identification Using Dark Web Data	Nathan Deguara, Junaid Arshad, Anum Paracha, and Muhammad Ajmal Azad
12:05-12:30	04:05-04:30	S09210: Secure Application of Artificial Intelligence Applications for Anti-Money Laundering using Confidential Computing	Richard Searle, Prabhanjan Gururaj, Anubhav Gupta, and Kiran Kannur
12:30-14:00	04:30-06:00	Lunch
14:00-14:25	06:00-06:25	S09211: Artificial Intelligence Enabled Middleware for Distributed Cyberattacks Detection in IoT-based Smart Environments	Guru Prasad Bhandari, Andreas Lyth, Andrii Shalaginov, and Tor-Morten Grønli
14:25-14:50	06:25-06:50	S09212: Cyber Security of Electric Vehicle Charging Infrastructure: Open Issues and Recommendations	Inna Skarga-Bandurova, Igor Kotsiuba, and Tetiana Biloborodova
14:50-15:15	06:50-07:15	BigD384: Forensic Analysis of Amazon Alexa Echo Dot 4th Generation	Damilola Oladimeji and Bing Zhou
15:15-15:20	07:15-07:20	Closing Remarks	Andrii Shalaginov

Program v. 07.12.2022

Introduction and Scope

Following the positive feedback and great interest over the last five years, we are delighted to announce the 6th International Workshop on Big Data Analytic for Cybercrime Investigation and Prevention, co-located with IEEE Big Data 2022 conference in Osaka, Japan on December 17-20, 2022.

Covid-19 Information

The safety and well-being of all conference participants is our priority. At the moment, the workshop will take place as a hybrid event (both on-side and digitally).

The big data paradigm has become an inevitable aspect of today's digital forensics investigations. Acquiring a forensic copy of seized data mediums already takes several hours due to the increasing storage size. In addition are several other time-consuming laboratory analysis steps required, such as evidence identification, corresponding data preprocessing, analysis, linkage, and final reporting. These steps have to be repeated for every physical device examined in the criminal case. Conventional digital forensics data preprocessing and analysis methods struggle when handling the contemporary variety, variability, volume and velocity of case data. Thus, proactive approaches have to be developed and integrated in daily law enforcement operations; for timely detection and prevention of the illegal activities in a data-intensive environments. Thus, there is a need for advanced big data analytics to aid in cyber crime investigations, which requires novel approaches for automated analysis. This workshop is organized to bring together recent development in big data analysis to aid in current challenges in cybercrime investigations.

Research Topics of Interest

The topics of the workshop are as following, but not limited to:

Algorithm areas

- Machine Learning-aided analysis

- Graph-based detection

- Topic modelling

- Improvements of existing methods

- Decision Support Systems

Data

- Novel datasets

- New data formats

- Digital Forensics data simulation

- Anonymised case data

- New data formats and taxonomies

Infrastructure

- Secure collaborative platforms

- Distributed storage and processing

- Technologies for data streams

- Hardware / software architectures for large-scale data

Application areas

- Cyber Threats Intelligence

- Network Forensics Readiness

- Malware Analysis & Detection

- Emails mining & Authorship Identification

- Social Network Mining

- Events correlations

- Access Logs analysis

- Mobile Forensics

- Fraud Detection

- Database Forensics

- IoT Forensics

- Blockchain technologies

- Industrial systems

Important dates

Oct 5, 2022 (Sept 15): Due date for full workshop paper submissions

Oct 28, 2022 (Oct 15): Notification of paper acceptance to authors

Nov 20, 2022: Latest due date for camera-ready of accepted papers

Dec 17-20, 2022: Workshops and conference

Program Chairs

Andrii Shalaginov

SmartSecLab, Kristiania University College
andrii.shalaginov@kristiania.no
Asif Iqbal

Hitachi Energy, KTH Royal Institute of Technology
asif@asifiqbal.se
Igor Kotsiuba

Durham University Business School
igor.kotsiuba@durham.ac.uk
Mamoun Alazab

Charles Darwin University
mamoun.alazab@cdu.edu.au

Technical Program Committee

Ajit Kumar (Soongsil University)

Aleksandar Jevremovic (Singidunum University)

Bing Zhou (Sam Houston State University)

Cristian Bucur (Ecole Polytechnique de Montréal)

Gebremariam Assres (Kristiania University College)

Junaid Arshad (Birmingham City University)

Inna Skarga-Bandurova (Pukhov Institute for Modelling in Energy Engineering)

Lester Allan Lasrado (Kristiania University College)

Marko Krstic (Regulatory Agency for Electronic Communications and Postal Service)

Olaf M. Maennel (Tallinn University of Technology)

Piotr A. Kowalski (AGH University of Science and Technology)

Raffaele Olivieri (Cyber Security Manager)

Shih-Chieh Su (‎Amazon)

Thippa Reddy G (Vellore Institute Of Technology)

Vasileios Mavroeidis (University of Oslo)

Vinayakumar Ravi (Prince Mohammad Bin Fahd University)

Vinti Agarwal (Birla Institute of Technology & Science)

Keynote Speakers

José L. Diego

Head of Project Management Division,
Valencia Local Police, Spain

Title: Cybersecurity in Europe - A police research perspective: S4ALLCITIES and CC-DRIVER projects

Abstract: The aim of the talk is to explain how European Commisssion is fostering European research projects on security, addressing young cyber criminality and directly involving police forces in this task.

Bio: José L. Diego is an expert-evaluator for the European Commission within different initiatives: Horizon2020 – Secure Societies challenge, EUROPOL Platform for experts, DG JUSTICE Research Programmes, DG HOME Research Programmes, Radicalisation Awareness Network. He began his career as a consultant at Deloitte, and nowadays is the Head of Project Management in the Valencia Local Police, as well as International Lecturer, OSCE Hate crimes trainer & Liaison officer and also Professor for a Master on Human Resources, for two Masters in Criminology and for the Chiefs´ Police Academy as well. He has managed +30 EU projects (including 16 European Commission Framework Research projects on Security) in matters like R&D, domestic violence, police mediation and training, community policing, forensics, youth offending, crime fighting, road traffic, police management, diversity, emergencies, environmental police, cybercrime, Police ICTs, hybrid threats, smart cities & security, etc. He holds Degrees in Law and in Criminology and a Master in Human Resources Management as well.

Support and Partners

School of Economics, Innovation, and Technology (SEIT) academic profile relates to information systems (IS) and computer science. This is covered by the fields of information science, information technology and computer science.

Smart Security Laboratory (SmartSecLab)

SEIT webpage

DigForAsp (Digital forensics: evidence analysis via intelligent systems and practices). COST Action CA17124 is funded by the European Cooperation in Science and Technology (COST). DigForAsp activities were launched on 10th September 2018 for 4 years.
Digital forensics is a part of the Criminalistics Sciences which deals with digital evidence recovery and exploitation in the solution of criminal cases through the application of scientific principles. There are several and increasingly sophisticated methods for collecting digital evidence. As a matter of fact, the evolution of technology continuously pushes such kind of methods. Rough evidence must however be used to elicit hypotheses concerning events, actions and facts (or sequences of them) with the goal to obtain evidence to present in court. Evidence analysis involves examining fragmented incomplete knowledge, and reconstructing and aggregating complex scenarios involving time, uncertainty, causality, and alternative possibilities. No established methodology exists today for digital evidence analysis. The Scientific Investigation experts usually proceed by means of their experience and intuition.

DigForAsp webpage

Paper Submission

The authors are invited to submit: full-length papers (up to 10 pages IEEE 2-column format), short papers (4-6 pages IEEE 2-column format) or abstract papers (up to 4 page IEEE 2-column format) through the online submission system. Page count includes references, figures and tables.

Paper Submission Page

Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines:

https://www.ieee.org/conferences/publishing/templates.html

Publication

The authors of accepted papers must guarantee their presence at the conference for the papers to be published in the conference proceedings. At least one author of each accepted paper must register for the conference in order to include the paper in the proceedings.

Book

Selected papers will be nominated for submission to the book:

Andrii Shalaginov

Asif Iqbal

Igor Kotsiuba

Mamoun Alazab

José L. Diego

Publication