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BDACCIP 2019 : The 3rd International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention

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Link: https://folk.ntnu.no/andriis/bdaccip2019/
 
When Dec 9, 2019 - Dec 12, 2019
Where Los Angeles, USA
Submission Deadline Oct 20, 2019
Notification Due Nov 10, 2019
Final Version Due Nov 20, 2019
Categories    informtion secturity   big data   machine learning   cybersecurity
 

Call For Papers

Following the positive feedback and great interest last year, we are delighted to announce the 3rd International Workshop on Big Data Analytic for Cybercrime Investigation and Prevention, co-located with IEEE Big Data 2019 conference in Los Angeles, CA, USA on December 9-12, 2019.

Workshop webpage: https://folk.ntnu.no/andriis/bdaccip2019/

*** IMPORTANT DATES ***
Oct 20 (extended from Sep 20), 2019: Due date for full workshop paper submissions
Nov 10 (extended from Oct 15), 2019: Notification of paper acceptance to authors
Nov 20 (extended from Nov 10), 2019: Latest due date for camera-ready of accepted papers
Dec 9-12, 2019: Workshops and conference

*** INTRODUCTION ***
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.

*** PROPOSED TOPICS ***
Note that the topics are not limited to this proposed list.

1. Algorithm areas
- Machine Learning-aided analysis
- Graph-based detection
- Topic modelling
- Improvements of existing methods
- Decision Support Systems
2. Data
- Novel datasets
- New data formats
- Digital Forensics data simulation
- Anonymised case data
- New data formats and taxonomies
3. Infrastructure
- Secure collaborative platforms
- Distributed storage and processing
- Technologies for data streams
- Hardware / software architectures for large-scale data
4. 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

*** PROGRAM CO-CHAIRS ***
Andrii Shalaginov, Norwegian University of Science and Technology
Jan William Johnsen, Norwegian University of Science and Technology
Ambika Shrestha Chitrakar, Norwegian University of Science and Technology
Asif Iqbal, KTH Royal Institute of Technology in Stockholm

*** PROGRAM COMMITTEE ***
Ali Dehghantanha (University of Guelph)
Bing Zhou (Sam Houston State University)
Dmitry Kangin (University of Exeter)
Hanno Langweg (Konstanz University of Applied Sciences)
Igor Kotsiuba (Pukhov Institute for modeling in Energy Engineering)
Inna Skarga-Bandurova (East Ukrainian National University)
Junaid Arshad (University of West London)
Mamoun Alazab (Charles Darwin University)
Neminath Hubballi (Indian Institute of Technology Indore)
Olaf M. Maennel (Tallinn University of Technology)
Shih-Chieh Su (‎Microsoft)
Vasileios Mavroeidis (University of Oslo)

*** 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. Online submission system:
https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submitform.php?subarea=S19&submittype=&upload_only=0
Papers have to follow the IEEE 2-column format and the Computer Society Proceedings Manuscript Formatting Guidelines: http://cci.drexel.edu/bigdata/bigdata2019/files/Conference-LaTeX-template_7-9-18.zip

***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.

*** BEST PAPERS ***
Selected papers are nominated for submission to “Special Issue on Advanced Big Data Analytics for Cyber and Cyber-Physical Crime Investigations", journal "MDPI". Extended papers should have at least 60% of new material and will be sent through a review process to ensure the quality of contributions. More about the Special Issue: https://www.mdpi.com/journal/futureinternet/special_issues/Advanced_Big_Data_Analytics_Cyber
Moreover, The Best Paper Award is given to the best paper at the workshop. All participants who submitted a paper automatically qualify to enter, and the winner will receive 500 CHF.

*** CONTACTS***
If you have any questions, do not hesitate to contact Andrii Shalaginov (andrii.shalaginov@ntnu.no) and Jan William Johnsen (jan.w.johnsen@ntnu.no).

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