[DFSci] Help

Dinesh sawhneyd at bell.net
Mon Sep 18 05:12:02 PDT 2017


Pls change my address to dinesh.sawhney at iacis.com


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Subject: DFSci Digest, Vol 137, Issue 3

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Today's Topics:

   1. Call For Papers: The 1st International Workshop on Big Data
      Analytic for Cyber Crime Investigation and Prevention
      (Andrii Shalaginov)


----------------------------------------------------------------------

Message: 1
Date: Sun, 17 Sep 2017 12:25:22 +0200
From: Andrii Shalaginov <andrii.shalaginov at ntnu.no>
To: "dfsci at lists.dfrws.org" <dfsci at lists.dfrws.org>
Cc: Jan William Johnsen <jan.w.johnsen at ntnu.no>,	Katrin Franke
	<katrin.franke at ntnu.no>
Subject: [DFSci] Call For Papers: The 1st International Workshop on
	Big Data Analytic for Cyber Crime Investigation and Prevention
Message-ID: <01c8d04b-a939-a7e1-fabc-472b555d2727 at ntnu.no>
Content-Type: text/plain; charset=utf-8; format=flowed

Dear Colleague,

(Apologies for multiple postings)

We would like to invite you to submit your contributions to the 1st
International Workshop on Big Data Analytic for Cyber Crime Investigation
and Prevention. It is co-located with IEEE International Conference on Big
Data 2017 that will take place in Boston, USA, December 11-14, 2017.

Workshop webpage: https://www.ntnu.edu/iik/digital_forensics/ieeebigdata2017

*** IMPORTANT DATES ***
Oct 10, 2017 (Extended): Due date for full workshop papers submission Nov 1,
2017 (Extended): Notification of paper acceptance to authors Nov 15, 2017:
Camera-ready for accepted papers Dec 11-14, 2017: Workshops


*** INTRODUCTION ***
The big data paradigm has become inevitable in every aspect of the digital
forensics process. Increase in personal devices (such as computers, smart
phones, tablets, sensors and storage mediums) results in an expanding volume
of potential evidence found in them. The increase in data is one of the
largest challenges facing law enforcements? timely prosecutions; with the
effect, that human analysts can no longer be the lone actor in the loop.
There is a need to create innovative and advanced models and analysis
methods to help human analysts within law enforcements in order to
automatically aid with the discovery, correlation, examination, analysis and
understanding of evidence in criminal cases. Advanced big data analytics are
important for cybercrime investigation and require novel approaches for
automation.

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

1. Algorithms
- Machine learning-aided analysis
- Graph-based detection
- Topic modeling
- Secure platforms
- Distributed storage and processing
- Secure collaborative platforms

2. Applications
- Network forensics readiness
- Cyber threats intelligence
- Malware analysis and detection
- Emails mining
- Events correlations
- Access logs analysis
- Mobile and Internet of Things forensics
- Fraud detection
- Database forensics

3. Data
- Novel datasets
- Digital forensics data simulation
- Anonymised case data
- Data storage standards
- New formats and taxonomies

*** PROGRAM CO-CHAIRS ***
Andrii Shalaginov, Norwegian University of Science and Technology Katrin
Franke, Norwegian University of Science and Technology Jan William Johnsen,
Norwegian University of Science and Technology

*** PROGRAM COMMITTEE ***
Asif Iqbal (KTH Royal Institute of Technology) Bojan Kolosnjaji (Technical
University of Munich) Carl Leichter (Norwegian University of Science and
Technology) Dmitry Kangin (University of Exeter) Emiliano Casalicchio
(Blekinge Institute of Technology) Ethan Rudd (University of Colorado
Colorado Springs) Hamid Ebadi (Chalmers University of Technology) Hanno
Langweg (Konstanz University of Applied Sciences) Heri Ramampiaro (Norwegian
University of Science and Technology) Martin Boldt (Blekinge Institute of
Technology) Michael McGuire (Towson University) Olaf M. Maennel (Tallinn
University of Technology) Pavel Gladyshev (Dublin School of Computer
Science) Pierre Lison (Norwegian Computing Centre)


*** PAPER SUBMISSION ***
Our workshop invites authors to submit: full-length papers (up to ten
pages), short papers (up to six pages) or abstract papers (up to three
pages) through the online submission system:
https://wi-lab.com/cyberchair/2017/bigdata17/scripts/submitform.php?subarea=
S20&submittype=&upload_only=0
Papers have to follow the IEEE 2-column format and the Computer Society
Proceedings Manuscript Formatting Guidelines. See formatting instructions
here: 
https://www.ntnu.edu/iik/digital_forensics/ieee-bigdata-2017-formatting-inst
ructions

*** BEST PAPERS ***
Selected papers are nominated for submission to ?Special Issue on Cyber
Threat Intelligence and Analytics?. Extended papers should have at least 60%
of new material and will be sent through a review process to ensure the
quality of contributions.

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


Best regards,
Andrii Shalaginov, on behalf of
Katrin Franke and Jan William Johnsen
Norwegian University of Science and Technology, Gj?vik, Norway


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