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marami@lipn.univ-paris13.fr

November 2022

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[CFP : Special Session on Complex Network Analysis for Cybersecurity - EICC'23]
by rushed.kanawati＠lipn.univ-paris13.fr 02 Nov '22

02 Nov '22

______________________________________________________________________________ Call for papers CNACYS’23: Complex Network Analysis for Cybersecurity Special session @ EICC’23 : European Interdisciplinary Cybersecurity conference Stavanger, Norway, June 14-15, 2023 Website: https://www.fvv.um.si/eicc2023/cnacys/ ______________________________________________________________________________ * Submission deadline: January 15, 2023 * Submission site: https://easychair.org/conferences/?conf=eicc2023 Context ======= The Internet, the Web, on-line social networks and almost all interactions in cyberspace can be modeled as complex networks sharing untrivial topological features such as sparseness, small-world features, a heterogeneous degree distribution, and a high clustering coefficient. Complex network analysis has raised a lot of attention in recent years in a wide variety of fields including social, technological, biological, and power-grid networks. A rich algorithmic arsenal is already available to gain insights from such networks including identifying influential or vulnerable actors, link prediction, anomalies detection, community identification as well as understanding and predicting spreading phenomena on such networks. This special session aims at providing a venue for sharing the latest advances in applying complex networks analysis to cybersecurity. List of topics ============== A non-exhaustive list of topics includes: * Complex network analysis for: intrusion detection, botnet activity detection, anomaly detection for network security and management, network traffic analysis * Attack graphs modeling and application, graph-based threat assessment * Multiplex and multilayer network analysis for cyber security * Autoencoders and representation learning for graphs * Network embedding techniques for network security and management problems * Parallel algorithms for dynamic and large-scale complex network * Network sampling and summarizing techniques, * Explainable network analysis approaches for cybersecurity * Visualization of dynamic and large-scale networks Submission guidelines ===================== The official language of the conference is English. Papers are limited to 6 pages. All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: * Full papers reporting on original research findings (5-6 pages) * Short papers reporting on original research findings (2-4 pages) * Posters (extended abstracts) reporting on original research findings (1-2 pages) The conference will offer a Best paper award and Best poster award. The awards will be announced and bestowed at the conference closing session. The award will be conferred to the author(s) of awarded papers who will be present at the conference. The decision criterion will consider both the paper/poster quality and the oral presentation quality. Papers submitted to EICC 2023 have to use the ACM SigConf template <https://www.acm.org/publications/proceedings-template>. All submitted research papers will undergo a *double-blind* reviewing process. Please, make sure that submitted papers do not contain author names or obvious self-references. Please follow submission guidelines for EICC 2023: https://www.fvv.um.si/eicc2023/ Each paper will be reviewed by 2-3 reviewers. Afterwards, a discussion will be held by the chairs and reviewers to determine the outcomes of the peer-review. Submission of a paper implies that at least one of the authors will register and present the paper at the conference if the paper is accepted. Submit papers using the EICC 2023 submission system <https://easychair.org/conferences/?conf=eicc2023>. Please select the CNACYS Track when submitting your paper. Important dates ================ Submission deadline: January 15, 2023 Author Notification: February 12, 2023 Camera Ready: April 9, 2023 Organisation ============ Martin Atzmueller, Osnabrück University & German Research Center for AI (DFKI), Germany Rushed Kanawati, Univ. Sorbonne Paris Nord / LIPN CNRS UMR 7030, France Program Committee ================= See session web site: https://www.fvv.um.si/eicc2023/cnacys/

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[ACONTA'22 : Augmented Complex Networks - Trustworthy Analysis ]
by rushed.kanawati＠lipn.univ-paris13.fr 01 Nov '22

01 Nov '22

---- with all our apologies for cross-posting ---- ******************************************************************************* Call for papers / Call for participation *** ACONTA: Augmented Complex Networks - Trustworthy Analysis *** Sorbonne Paris North University, Paris, France, 1-2 December 2022 Website: https://lipn.fr/aconta/ ******************************************************************************* IMPORTANT: * Submission deadline (extended): November 7, 2022 * Submission site: https://easychair.org/conferences/?conf=aconta22 * The draft program of the conference can be found here: https://lipn.fr/aconta/aconta-prog.html * You can still submit short papers (4-6 pages) as detailed below. Context ======= Complex networks analysis have been shown to be useful for gaining insights in a wide variety of applications domains such as social interactions, ecology, biological, healthcare, safety and security, and many more. These applications have motivated the extension of network models to richer representations and augmented complex network models, such as feature-rich and higher-order network models. Examples include multiplex networks, multilayer networks, temporal networks attributed networks and network on networks. Machine learning approaches are being extensively used for obtaining insights into/using these models and for mining knowledge from these models and for a variety of tasks including node classification and role identification, link prediction, community detection, anomaly detection and much more. These tasks are generally required to enable and support critical decisions and should so be largely trustworthy. XAI approaches should be adapted to the networked context, and network analysis can also contribute to devise explainability- oriented features in the targeted applications areas. This conference aims to bridge the gap between these areas by exploring the use of complex network analysis and explainability in the following featured application areas: * Complex networks in safety and security * Biological and ecological networks * Online Social Networks Organization ============ The conference will include a set of keynotes and invited talks grounding the different targeted areas: trustworthy machine learning approaches, augmented complex networks models with a special focus on the selected applications fields. The goal is to provide a context to elaborate models and to define actions towards trustworthy approaches in this context of analysing augmented complex networks. These invited talks, to be given by prominent researchers in the respected areas, should contribute to cross-fertilize ideas to ground this new research direction. This will be done in the context of a panel synthesizing different contributions in order to converge on a common understanding, and to point out interesting research directions in the targeted field of trustworthy analysis of augmented complex networks. In order to ease building a community in the targeted area, the conference will also feature contributed talks. For this, there will be an open submission and selection process, such that the conference will provide the opportunity for presenting a selection of contributed works. Contributions / Submission Guidelines ===================================== The contributed talks should either present original work in the targeted area or provide promising directions with respect to work in progress in the focused area. Paper submissions (4-6 pages) are solicited according to the following topic list: * Trustworthy machine learning * Explainability * Interpretability * Certification and machine learning * User-centered approaches * Feature construction for explainability * Feature selection for explainability * Feature-rich networks * Attributed networks * Temporal networks * Dynamic networks * Multiplex networks * Multi-Layer networks * Heterogeneous networks * Applications of all of the above in * Complex networks in safety and security * Biological and ecological networks * Online Social Networks All submitted papers must * be written in English; * contain author names, affiliations, and email addresses; * be formatted according to the CEUR-WS-Template (use the 2-column style): http://ceur-ws.org/Vol-XXX/CEURART.zip; * be in PDF + source file(s); make sure that the PDF can be viewed on any platform * Submission should be made using the following submission system: https://easychair.org/conferences/?conf=aconta22 We intend to publish the proceedings of the conference in the CEUR Workshop Proceedings (indexed in Scopus and DBLP). Furthermore, we will also consider publishing a selection of extended contributed papers in a special issue of an international journal. Important dates =============== Submission (extended): November 7, 2022 Notification: November 15, 2022 Camera ready: November 22, 2022 Conference: December 1 - 2 Organisation ============ Martin Atzmueller, Osnabrück University & German Research Center for AI (DFKI), Germany Rushed Kanawati, Univ. Sorbonne Paris Nord / LIPN CNRS UMR 7030, France

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