[hpc-announce] CfP: Workshop on Graph-based network security at NOMS 2020 (Jan 5th)
c.a.hammerschmidt at tudelft.nl
Tue Dec 31 10:43:16 CST 2019
my apologies for cross-posting/multiple CfPs reaching you. I'd like to
point out our approaching deadline on January 5th again, for our
IEEE/IFIP International Workshop on Graph-based network Security (GraSec
2020), organized in conjunction with IEEE/IFIP Network Operations and
Management Symposium (NOMS 2020).
You can find more information on our website at https://grasec.uni.lu or
Thanks a lot for your attention and a happy 2020!
Most of the existing security monitoring solutions cannot cope with
unknown and complex attacks due to the continual apparition of new
threats, botnet propagation and command-and-control mechanisms.
Recently, botnet detection systems which leverage communication graph
analysis using machine learning have gained attention to overcome these
limitations. Graph-based modeling and mining approaches have been
proposed and provide interesting results.
Graph-based modeling offers the advantage of understanding complex
attacks and determining the root cause of an attack. However, existing
graph mining tools for anomaly detection over streaming events are not
adapted for cyber-security problems while the corresponding data
continuously appears in the form of complex graphs.
The workshop serves to bring together people from industry and academia
including researchers, developers, and practitioners from a variety of
fields working on graphs and their applications to network,
cybersecurity, and blockchain. Moreover, the workshop allows attendees
to share and discuss their latest findings from both theoretical and
practical perspectives in several techniques and methods for graph
modeling, mining, learning, and visualizing. The main goal of GraSec is
to present research and experience results in graph applications on
network and cybersecurity as well as the defensive and offensive tools.
====TOPICS OF INTEREST====
Authors are invited to submit papers that fall into or are
related to one or multiple topic areas listed below:
* Graph modeling/mining/learning-based intrusion/botnet/threats
* Graph learning-driven access controls, security policies, etc.
* Attack graphs modeling, analysis, etc.
* Sampling and summarizing techniques of graphs for network and
* Big graph analytics, parallel algorithms for dynamic/big graph
analysis on HPC (CPU-GPU) systems.
* Autoencoders, representation learning for graphs
* Graph embedding techniques and applications on network data.
* Visualization of dynamic and large-scale graphs
* Detection of threats with evolving behaviors using graphs
* Novel applications of static/dynamic and large graph problems in
network, cybersecurity, blockchain, cryptocurrency, robot, etc.
Paper Submission Deadline: January 5th, 2020
Notification of Acceptance: January 26th, 2020
Submission of Camera-ready Copies: February 16th, 2020
Paper submissions must present original, unpublished research,
development or experiences. Only original papers that have not been
published or submitted for publication elsewhere can be submitted. Each
submission must be written in English, accompanied by a 50 to 200 words
abstract that clearly outlines the scope and contributions of the
paper. Self-plagiarized papers will be rejected without further review.
Authors should submit their papers via JEMS: https://jems.sbc.org.br/
There is a length limitation of 6 pages (including title, abstract, all
figures, tables, and references) for regular papers, and 4 pages for
short papers describing work in progress. Submissions must be in IEEE
2-column style. ACCEPTED PAPER The accepted regular papers, they will
have a 20 minutes oral presentation (including Q&A) at assigned time
slot. The accepted short papers, they will have a 5 minutes oral
presentation (excluding Q&A) and a poster presentation at assigned time
slot. The size of the poster is recommendation to be A0 (33.1×46.8 in)
Papers accepted for GraSec 2020 will be included in the conference
proceedings, IEEE Xplore, IFIP database and EI Index. IFIP and IEEE
reserve the right to remove any paper from the IFIP database and IEEE
Xplore if the paper is not presented at the workshop.
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