==============================
DASec 2014
The First International Workshop on Big Data Analytics for Security
==============================
In conjunction with ICDCS 2014
June 30th - July 3rd 2014, Madrid, Spain.
http://www.dis.uniroma1.it/~
In the last 10 years we have witnessed a strong integration of several
human activities with computers and digital networks. This has led to an
interconnected economy, where interactions occur through the mediation
of networked devices. The openness of this scenario was instrumental in
creating new business opportunities. However, it has also paved the way
to new forms of criminal activities that, while happening in the cyber
domain, have strong implications in the real world. The current trend
towards an Internet of Things will possibly worsen this scenario.
In this context, private companies and public bodies struggle to defend
their businesses against a deluge of attacks spanning from complex
online frauds to malicious scanning activities of their IT
infrastructures. As attacks continue to grow in complexity, classic
"border-control" approaches to system security quickly prove to be
ineffective, calling for an investigation into new methodologies and
solutions. At the same time, ongoing research efforts on "Big Data"
systems are devising new and innovative methodologies to manage and
analyze large amounts of data with the aim of recognizing specific
patterns and behaviors.
The First International Workshop on Big Data Analytics for Security aims
to bring together people from both academia and industry to present
their most recent work related to trust, security and privacy issues in
big data analytics, together with application of big data technologies
in the field of security. The purpose is to establish if and how
large-scale data analytics technologies can help in creating new
security solutions for today's complex IT infrastructures.
Topics of interest include, but are not limited to:
- Distributed data analysis platforms
- Scalable solutions for pattern recognition
- Stream processing and parallel batch processing technologies
- Real-time processing of intense data flows
- Trusted platform implementation technologies for Big Data Analytics
- Information quality/trustworthiness for Big Data
- Provenance of content for Big Data
- Visualizing large scale security data
- Privacy in Big Data mining and analytics
- Threat detection using Big Data analytics
- High performance and efficient data cryptography
Researchers are encouraged to submit papers describing original,
previously unpublished, complete research, not currently under review by
another conference or journal, addressing state-of-the-art research and
development in all areas of data analytics and system security. The
final workshop program will include both talks presenting novel
contributions and a keynote presentation. Accepted papers will be
published in the combined ICDCS 2014 workshop proceedings and will be
available through IEEE Xplore.
=== Important Dates ===
Submission: EXTENDED TO February 23, 2014
Notification: EXTENDED TO March 23, 2014
Camera ready: April 7, 2014
Workshop: June 30 - July 3, 2014
=== Submissions ===
Papers must be submitted electronically through EasyChair. All paper
submissions should follow the IEEE 8.5" x 11" Two-Column Format and must
be submitted as PDF documents. The maximum size of papers should be 6
pages including tables and figures.
Further informations about the submission guidelines can be found on the
website:
http://www.dis.uniroma1.it/~
=== Program Committee ===
Giuseppe Ateniese (co-chair), Sapienza Universit? di Roma
Bruno Crispo (co-chair), Universit? di Trento
Roberto Di Pietro, Universit? di Roma 3
Cristiano Giuffrida, Vrije Universiteit Amsterdam
Boris Koldehofe, Universitat Stuttgart
Peter Pietzuch, Imperial College London
Leonardo Querzoni (co-chair), Sapienza Universit? di Roma
Sasu Tarkoma, University of Helsinki
==============================
--
Leonardo Querzoni
Sapienza Universit? di Roma
______________________________
e-mail: querzoni@dis.uniroma1.it
web: http://www.dis.uniroma1.it/~
tel: +39 06 77274072
fax: +39 06 77274002
DASec 2014
The First International Workshop on Big Data Analytics for Security
==============================
In conjunction with ICDCS 2014
June 30th - July 3rd 2014, Madrid, Spain.
http://www.dis.uniroma1.it/~
In the last 10 years we have witnessed a strong integration of several
human activities with computers and digital networks. This has led to an
interconnected economy, where interactions occur through the mediation
of networked devices. The openness of this scenario was instrumental in
creating new business opportunities. However, it has also paved the way
to new forms of criminal activities that, while happening in the cyber
domain, have strong implications in the real world. The current trend
towards an Internet of Things will possibly worsen this scenario.
In this context, private companies and public bodies struggle to defend
their businesses against a deluge of attacks spanning from complex
online frauds to malicious scanning activities of their IT
infrastructures. As attacks continue to grow in complexity, classic
"border-control" approaches to system security quickly prove to be
ineffective, calling for an investigation into new methodologies and
solutions. At the same time, ongoing research efforts on "Big Data"
systems are devising new and innovative methodologies to manage and
analyze large amounts of data with the aim of recognizing specific
patterns and behaviors.
The First International Workshop on Big Data Analytics for Security aims
to bring together people from both academia and industry to present
their most recent work related to trust, security and privacy issues in
big data analytics, together with application of big data technologies
in the field of security. The purpose is to establish if and how
large-scale data analytics technologies can help in creating new
security solutions for today's complex IT infrastructures.
Topics of interest include, but are not limited to:
- Distributed data analysis platforms
- Scalable solutions for pattern recognition
- Stream processing and parallel batch processing technologies
- Real-time processing of intense data flows
- Trusted platform implementation technologies for Big Data Analytics
- Information quality/trustworthiness for Big Data
- Provenance of content for Big Data
- Visualizing large scale security data
- Privacy in Big Data mining and analytics
- Threat detection using Big Data analytics
- High performance and efficient data cryptography
Researchers are encouraged to submit papers describing original,
previously unpublished, complete research, not currently under review by
another conference or journal, addressing state-of-the-art research and
development in all areas of data analytics and system security. The
final workshop program will include both talks presenting novel
contributions and a keynote presentation. Accepted papers will be
published in the combined ICDCS 2014 workshop proceedings and will be
available through IEEE Xplore.
=== Important Dates ===
Submission: EXTENDED TO February 23, 2014
Notification: EXTENDED TO March 23, 2014
Camera ready: April 7, 2014
Workshop: June 30 - July 3, 2014
=== Submissions ===
Papers must be submitted electronically through EasyChair. All paper
submissions should follow the IEEE 8.5" x 11" Two-Column Format and must
be submitted as PDF documents. The maximum size of papers should be 6
pages including tables and figures.
Further informations about the submission guidelines can be found on the
website:
http://www.dis.uniroma1.it/~
=== Program Committee ===
Giuseppe Ateniese (co-chair), Sapienza Universit? di Roma
Bruno Crispo (co-chair), Universit? di Trento
Roberto Di Pietro, Universit? di Roma 3
Cristiano Giuffrida, Vrije Universiteit Amsterdam
Boris Koldehofe, Universitat Stuttgart
Peter Pietzuch, Imperial College London
Leonardo Querzoni (co-chair), Sapienza Universit? di Roma
Sasu Tarkoma, University of Helsinki
==============================
--
Leonardo Querzoni
Sapienza Universit? di Roma
______________________________
e-mail: querzoni@dis.uniroma1.it
web: http://www.dis.uniroma1.it/~
tel: +39 06 77274072
fax: +39 06 77274002
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