International Workshop on Graph-based network Security (GraSec) in conjunction with IFIP/IEEE International Symposium on Integrated Network Management IM2021 https://im2021.ieee-im.org/

Latest Updates

We are proud to announce that we will organize a Joint Workshop Program with DISSECT (International Workshop on Security for Emerging Distributed Network Technologies). Our thanks to DISSECT co-chairs for working together on an exciting workshop program. Our thanks to Weverton Cordeiro, Moayad Aloqaily, and Carol Fung.

 

Program (DISSECT + GraSec workshops)Friday, May 21


9:00 am – 10:00 am
Virtual Room 1
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10:00 am – 11:00 am
Virtual Room 1
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Trust, as a soft security mechanism, can protect us from malicious parties who offer us resources or services in open and distributed networks. In this talk, I will briefly introduce the definitions and characteristics of trust. I will also giv…

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11:00 am – 11:15 am
gather.town
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11:15 am – 12:15 pm
Virtual Room 1
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11:15 am – 12:15 pm
Virtual Room 1
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Speaker

Description

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Frederic Beck (Inria – France)
Abdelkader Lahmadi (University of Lorraine – France)
Jérôme François (INRIA Nancy Grand Est – France)

Friday, May 21
11:15 am – 12:15 pm
Virtual Room 1
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Speaker

Description

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Andrew Cullen (Imperial College London – UK)
Pietro Ferraro (Imperial College London – UK)
William Sanders (Iota Foundation – Germany)
Luigi Vigneri (IOTA Foundation – Germany)
Robert Shorten (Imperial College London – UK)


12:15 pm – 2:15 pm
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2:15 pm – 2:45 pm
Virtual Room 1
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  • Hamida SEBA (Speaker) University of Lyon, France
  • Abderaouf Gacem (Speaker) PhD Student, LIRIS Univ Lyon 1, France
  • Martin Husák (Session Chair) Researcher, Institute of Computer Science, Masaryk University, Czech Republic
Graphs are a powerful tool to model a variety of available data such as, social networks, traffic networks, chemical components, point clouds, and communication networks. A graph is composed of discrete entities, namely a set of nodes which are…

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2:45 pm – 3:45 pm
Virtual Room 1
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  • Shanchieh Jay Yang (Keynote) Rochester Institute of Techology, USA
  • Martin Husák (Session Chair) Researcher, Institute of Computer Science, Masaryk University, Czech Republic
Critical and sophisticated cyberattacks often take multitudes of reconnaissance, exploitations, and obfuscation techniques to penetrate through well protected enterprise networks. As both attack behaviors and networked systems continue to evolve, … See More

3:45 pm – 4:00 pm
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4:00 pm – 5:00 pm
Virtual Room 1
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  • Sofiane Lagraa (Session Chair) University of Luxembourg, Luxembourg.
Friday, May 21
4:00 pm – 4:30 pm
Virtual Room 1
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Speaker

  • Martin Husák(Presenter) Researcher, Institute of Computer Science, Masaryk University, Czech Republic

Description

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Martin Husák
Giovanni Apruzzese
Shanchieh Yang
Gordon Werner

Friday, May 21
4:30 pm – 5:00 pm
Virtual Room 1
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Speaker

  • Daniel Tovarnak(Presenter) Researcher, Masaryk University, ICS, Czech Republic

Description

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Daniel Tovarnak
Lukáš Sadlek
Pavel Celeda


5:00 pm – 6:00 pm
Virtual Room 1
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Friday, May 21
5:00 pm – 5:30 pm
Virtual Room 1
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Speaker

Description

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Sebastián Gómez (UNIVERSIDAD DE ANTIOQUIA – Colombia)
Luciano Paschoal Gaspary (UFRGS – Brazil)
Juan Felipe Botero (Universidad de Antioquia – Colombia)

Friday, May 21
5:30 pm – 6:00 pm
Virtual Room 1
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Speaker

Description

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Mateus Stürmer (Universidade do Vale do Rio dos Sinos – Brazil)
Luciano Ignaczak (UNISINOS – Brazil)
Bruno L. Dalmazo (Federal University of Rio Grande – Brazil)
Elvandi da Silva Júnior (Universidade do Vale do Rio dos Sinos – Brazil)
Jeferson Campos Nobre (UFRGS – Brazil)


6:00 pm – 6:15 pm
Virtual Room 1
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About GraSec

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 security and cybersecurity in general as well as 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.

PAST EDITION

GraSec 2020

CALL FOR PAPERS

Click here to download the Call for Papers in a PDF.

TOPICS OF INTEREST

  • Graph modeling/mining/learning-based intrusion/botnet/threats detection
  • Graph learning-driven access controls, security policies, etc.
  • Attack graphs modeling, analysis, etc.
  • Sampling and summarizing techniques of graphs for network and cybersecurity.
  • 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 graphs in cybersecurity, blockchain, cryptocurrency, robot, etc.

PAPER SUBMISSION

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.

Submissions must be in IEEE 2-column style. There is a length limitation of 6 pages for regular papers, and 4 pages for short papers. Page limit includes title, abstract, all figures, tables, and references.

Authors should submit their papers via JEMS: https://jems.sbc.org.br/grasec2021

ACCEPTED PAPER

At least one of the authors have to register to the IFIP/IEEE IM 2021 conference and resent the paper (links will be provided later).

Accepted regular papers, they will have a 25 minutes time slot for oral presentation (including Q&A) at assigned time slot. Accepted short papers, they will have a 20 minutes time slot for oral presentation (including Q&A).

IMPORTANT DATES

Paper Submission Deadline (extended): January 8th, 2021  January 22, 2021, January 29, 2021 (Firm)
Notification of Acceptance:  February 18th, 2021
Camera-ready submissions:  March 5th, 2021

Workshop Date: May, 2021

PROCEEDINGS

Papers accepted for GraSec 2021 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.

Organizers:

  • Sofiane Lagraa (SnT, University of Luxembourg)
  • Radu State (SnT, University of Luxembourg)
  • Hamida Seba (LIRIS, University of Lyon, France)
  • Martin Husák (Masaryk University, Czech Republic)

Contact us:

  • Sofiane Lagraa: sofiane.lagraa [a t] uni.lu
  • Martin Husák: husakm [a t] ics.muni.cz

 

Technical Program Committee (TPC):

  • Fabian Böhm, University of Regensburg, Germany
  • Jay Yang, Rochester Institute of Technology, USA
  • Pavol Sokol, Pavol Jozef Šafárik University in Košic, Slovakia
  • Li-Chun Zhang, University of Oslo, Norway
  • Pierre Parrend, ECAM Strasbourg-Europe, France
  • Cristina Alcaraz, University of Malaga, Spain
  • Erisa Karafili, University of Southampton, United Kingdom
  • Mohammed Haddad, University of Lyon, France.
  • Lucian Andrei TRESTIOREANU, University of Luxembourg, Luxembourg