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Join Quantum Internet hackathon: 1-2 December, online & in 6 locations
by Gergana Petrova 09 Nov '22

09 Nov '22

Dear colleagues, RIPE NCC is co-organising a Quantum Internet Hackathon simultaneously in six nodes on 1-2 December 2022. Join us in Amsterdam, Dublin, Padua, Poznan, Tashkent, Sarajevo - and online! Apply here: https://www.ripe.net/participate/forms/apply/quantum-internet-hackathon-202… Top-3 Goals of this event: * Sharing existing software and protocols for the Quantum Internet * Producing tools & documentation, or learning/interaction materials * Forging connections between participants and between nodes Partner organisations: PSNC, GÉANT, SURF, Trinity College Dublin, QuTech (Delft), University of Padova, INHA University in Uzbekistan, Maynooth University, University of Sarajevo, RIPE NCC Find out more here: https://labs.ripe.net/author/karla-white/take-part-in-the-quantum-internet-… For any questions, please write to my colleague Vesna Manojlovic <BECHA(a)ripe.net>. Best regards, Gergana -- Gergana Petrova Community Development Manager RIPE NCC

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Post Doc position at IMT Atlantique, Brest, France
by Isabel AMIGO 25 Oct '22

25 Oct '22

Dear all, We are urgently seeking for a motivated candidate to fulfil our available [ https://z.imt.fr/zimbra/[RACI-list]%20Post-doc%20position%20on%20performanc… | postdoc position on the design of secure admission control mechanisms for DAG-based distributed ledgers (DL), and further performance and security improvements of such DLs. ] The subject will be tailored according to the successful candidate's profile and preferences , within : * Stochastic modelling of the evolution of the DAG * Theoretical characterisation of performance metrics of the DAG * Learning performance metrics of the DAG, based on self obtained data from our testbed and from publicly available data. * Design of access control mechanisms, faire and robust to security attacks * Implementation of proposed or existent access control mechanisms within our testbed Location : Maths&Net research group, located at IMT Atlantique, Brest, France. IMT Atlantique is one of the top 10 engineering schools in France , and one of the top 400 universities in the world in THE World University Ranking. [ [ https://www.imt-atlantique.fr/en/about/elite-technological-university | https://www.imt-atlantique.fr/en/about/elite-technological-university ] ]. The Brest's campus is located just by the atlantic ocean. Duration: The position is for a maximum of two years. Profile: * PhD in related fields such as computer sciences or applied mathematics * Good communication skills, excellent written English skills. * Motivated, inquisitive and self-driven And, to be adjusted in accordance to the subject : * Solid mathematical background * Some experience or knowledge in networking and network security * Some experience in Machine Learning and Artificial Intelligence * Some computer science skills, allowing the candidate to create and manipulate simulation scripts, to develop working code, to manipulate collaborative environments, as for instance knowledge of programming languages such as Python, bash, Go and changes in tracking systems such as git. Eligible candidates must have spent at least 18 months outside France during the period spanned between May the 1st 2019 and the project’s kick-off. Starting date no later than February 1st 2023. Interested candidates please contact [ mailto:isabel.amigo@imt-atlantique.fr | isabel.amigo(a)imt-atlantique.fr ] Thanks in advance if you can spread the word, and sorry if you've received this message multiple times ! Kind regards, -- Isabel AMIGO +33 (0)2 29 00 14 21 IMT Atlantique, Dpt. Info https://www.imt-atlantique.fr/fr/personne/isabel-amigo

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Re: [RACI-list] CFP: Passive and Active Measurement (PAM) Conference 2023
by Marcel Flores 24 Oct '22

24 Oct '22

> The website for PAM 2023 is now available here: > > https://pam2023.networks.imdea.org/ > Just a note that we have lifted the registration deadline and moved the submission deadline to November 1 to avoid conflicts with concurrent measurement events. If you were interested in submitting and missed the original registration deadline, please consider! -Marcel

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Re: [RACI-list] CFP: Passive and Active Measurement (PAM) Conference 2023
by Marcel Flores 07 Oct '22

07 Oct '22

The website for PAM 2023 is now available here: https://pam2023.networks.imdea.org/ Additionally, in an effort to broaden participation in this vibrant field, we are soliciting applications to be a part of the PAM TPC if you are interested, please consider applying here: https://forms.gle/tMe6xDoGH2gKxw3e6 -Marcel

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Fwd: Post-doc or Research Engineer position: DNS Naming and Services for Secure Seamless IoT (Grenoble, France)
by Baptiste Jonglez 30 Sep '22

30 Sep '22

Hello, Here is an interesting post-doc opportunity from colleagues in Grenoble, France. Please contact Andrzej Duda directly if interested. Regards, Baptiste ----- Forwarded message from Andrzej Duda <Andrzej.Duda(a)imag.fr> ----- Date: Fri, 30 Sep 2022 16:27:47 +0200 From: Andrzej Duda <Andrzej.Duda(a)imag.fr> To: rsd-poste(a)groupes.renater.fr Subject: [rsd-poste] Post-doc or Research Engineer position: DNS Naming and Services for Secure Seamless IoT Grenoble Institute of Technology, LIG Lab • Position: Post-doc or Research Engineer at Grenoble INP • Contract: fixed-term 18 months, gross salary of 3 527 € - 4 298 € for Post-doc, and 4 035 € for the Research Engineer • Start date: November 1, 2022 • Location: Grenoble, Rhône-Alpes, France • Hosting institution: LIG Lab, Grenoble Institute of Technology • Supervisors: Andrzej Duda and Maciej Korczynski • Application deadline: October 15, 2022 Context: The candidate will join the Drakkar research group at the LIG Laboratory on the UGA campus of Saint Martin d’Hères, France. Mission: The research concerns security schemes and mechanisms for secure IoT based on DNSSEC (DNS Security Extensions) and DANE (DNS-Based Domain Authenticated Naming Extension). The idea is to design security schemes for enrolling IoT devices and supporting lightweight communication channels over constrained IoT networks such as LoRa. Skills & Expertise The position requires strong competences in systems, networking, DNS, cybersecurity, and IoT. The candidate needs to have excellent written and oral communication skills in English. Research experience in the field of networking or security is a plus. The candidate must have a PhD degree (for a post-doc position) or a master’s degree (for the research engineer position) in computer science or telecommunications with excellent results. We seek for somebody with high motivation for research who enjoys working in an international team. Location and Institution LIG laboratory is located in Grenoble, the capital of the Alps. Grenoble is one of French major scientific and industrial centers for computer science and applied mathematics. The city lies amidst three mountain ranges and offers exceptional quality of life, with efficient public transportation and dedicated bikeways. Grenoble Institute of Technology is one of the leading European technical universities, at the heart of innovation for more than a century. With its solid combination of teaching, research, and business promotion, Grenoble Institute of Technology plays a key role in making Grenoble one of the most attractive scientific and industrial locations worldwide. LIG laboratory is a Joint Research Center of Grenoble Institute of Technology, CNRS (French national scientific research center), Inria, and the Université Grenoble Alpes. The Drakkar team investigates all aspects of networking and explores new opportunities opened by all-IP networks, in particular, the development of future wireless networks and the integration of Sensors and Smart Objects within the Internet of Things. We also work on traffic measurement and monitoring, and network security. [1]https://drakkar.imag.fr LIG has just moved to the brand new IMAG building on the UGA campus of Saint Martin d’Hères, France thus offering a very good work environment. https://batiment.imag.fr How to Apply & Contact Information Applicants should send a detailed curriculum vitae along with a letter of application, last diploma, transcripts of graduate studies to Andrzej.Duda(a)imag.fr. The mail subject must start with "[DiNS position]". References or letters of recommendation will be appreciated. -- Prof. Andrzej Duda Grenoble INP - Ensimag, LIG Lab phone: +33 457 421 487 http://duda.imag.fr snail: LIG Lab, 700 avenue Centrale CS 40700, 38058 Grenoble Cedex 9, France References Visible links 1. https://drakkar.imag.fr/ ----- End forwarded message ----- -- Baptiste Jonglez Research Engineer, Inria <https://www.inria.fr/> STACK team <https://stack-research-group.gitlabpages.inria.fr/web/>

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RIPE NCC Open House: Exploring RIPEstat - Wednesday, 28 September
by Learning & Development 22 Sep '22

22 Sep '22

Dear colleagues, We invite you to join us for the RIPE NCC Open House: Exploring RIPEstat, taking place on Wednesday, 28 September at 10:00 (UTC). During this online event, we will talk about what makes RIPEstat useful for network operators, CERTs and a wide group of Internet stakeholders. We will speak in detail about RIPEstat datasets, its new features and the new UI. Check out the details and register for free at: https://www.ripe.net/participate/meetings/open-house/ripe-ncc-open-house-ex… Best regards, Olivia Ruimwijk Training Coordinator RIPE NCC

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CFP: Passive and Active Measurement (PAM) Conference 2023
by Marcel Flores 21 Sep '22

21 Sep '22

Hi All, See below for this year's CFP for PAM. The conference will be virtual this year, with a submission deadline of October 28 and the registration deadline a week before. -Marcel ---------------------------------------------------------------------------------- Call for Paper Passive and Active Measurement (PAM) Conference 2023 The Passive and Active Measurement (PAM) conference brings together researchers and operators to discuss novel and emerging work in the area of network measurement and analysis. PAM is inclusive of all areas of network measurement, but focuses on systems-based research and real-world data. Indeed, measurement technology is needed at all layers of the network stack, ranging from power profiling of hardware components to virtualization in data centers to application profiling and even user experience. Work with operational impact or relevance to the broader network research community is especially welcome, as are early and promising measurement techniques and replications of existing studies. Original contributions that advance the state-of-the-art in the following areas are invited: - Applications (e.g., web, streaming, games) - Data centers and cloud computing - Energy - IoT (e.g., smart home, SCADA, ICS, embedded systems) - Measurement tools and software - Network security and privacy - Overlays (e.g., P2P, CDNs) - Physical Layer - Routing - Social networks - Topology - Transport/congestion control - User behavior and experience, QoE - Virtualization (e.g., SDN, NFV) - Visualization - Wireless and mobile PAM 2023 will be held virtually. *Important Dates* - *Paper Registration* 21 October, 2022 - *Paper Submission* 28 October, 2022 - *Notification to Authors* 21 December, 2022 - *Camera-ready Due* 1 Feb, 2023 - *Virtual Conference* 21-23 March, 2023 *Submission Guidelines* Authors should only submit original work that has not been published before and is not under submission to any other venue. PAM welcomes both short and long submissions. This includes early-stage contributions of work that is less mature but shows exciting promise, articulates a high-level vision, and describes challenging future directions for the community or validate, verify important results, or present new ideas that challenge existing assumptions. Submissions should describe original research, with succinctness appropriate to the topics and themes they discuss. We will consider paper submissions that extend previously published short, or preliminary papers (including PAM short papers), following the model of the ACM SIGCOMM policy. *Replication Track* Works that are a reappraisal or independent validation of previous results, or which enhance the reproducibility of network measurement research, for instance by publishing new datasets on an existing topic, are explicitly included in PAM’s scope. To this end, this year will feature a replication track explicitly devoted to work which replicates existing findings. Submissions to this track should offer comparisons and analysis to the systems, settings, and data used in the work they replicate. Submissions must be explicitly opted into the replication track via HotCRP. As described in similar replication tracks (e.g. USENIX SOUPS), replication papers: - Will be held to the same technical standards as other submissions, - Should use up to date methodologies and avoid using outdated techniques only because they appeared in previous studies, - May repeat procedures of existing studies, or explore their extensibility, - And should provide an explanation of the value of performing a replication study. *Submission Requirements* All submissions must satisfy the following requirements: - Follow Springer LNCS format (see https://www.springer.com/us/computer-science/lncs/conference-proceedings-gu…) - Short papers: Up to 12 pages for technical content (up to 5 pages for appendices and references) - Long papers: Up to 24 pages for technical content (up to 5 pages for appendices and references) - Note that reviewers are not required to read appendices. Everything needed to evaluate the paper should appear in the first 12 pages for short and 24 pages for long papers. - Anonymization: Reviewing will be double-blind - Do not include names or affiliations of authors in the submission. - Refer to your prior work in the third person. - Make a best effort to anonymize system names that would give you away. - If you have any concerns about how to anonymize your paper while maintaining its integrity, contact the PC chairs. - Submit via HotCRP, link to be provided at a later date. *Ethical Considerations* Submissions are required to include a statement (in the main paper, not in the Appendix) describing any ethical concerns raised by the paper. If no concerns are raised, this should be stated explicitly. PAM follows the standard set by the Internet Measurement Conference (from which we base this section). Papers describing experiments with users or sensitive user data (e.g., network traffic, passwords, social network information) must follow basic precepts of ethical research and subscribe to community norms. These include: respect for privacy, secure storage of sensitive data, voluntary and informed consent if users are placed at risk, avoiding deceptive practices when not essential, beneficence (maximizing the benefits to an individual or to society while minimizing harm to the individual), and risk mitigation. Authors may want to consult the Menlo Report (https://catalog.caida.org/paper/2012_menlo_report_actual_formatted) for further information on ethical principles and the Allman/Paxson IMC 2007 paper (https://conferences.sigcomm.org/imc/2007/papers/imc80.pdf) for guidance on ethical data sharing. Note that submitting research for approval by each author’s institutional ethics review body is necessary, but not sufficient – in cases where the PC has concerns about the ethics of the work in a submission, the PC will consider the ethical soundness and justification of any paper, just as it does its technical soundness. Authors unsure about ethical issues are welcome to contact the program committee co-chairs. *Awards* There will be two awards for papers of exceptional merit. The *Best Paper Award* will recognize the paper that is deemed by the committee to have the highest merit of all the submissions. The *Best Community Artifact Award* will be given to the best paper that makes relevant datasets, source code, or platforms available to the public by the time the camera-ready is submitted. These artifacts must be sufficiently documented such that any researcher can use them to repeat the results or procedures described in the paper, and they must be placed in a sufficiently long-lived archival repository (e.g.,Github, Bitbucket, or CRAWDAD). *Program Committee Chairs* Anna Brunstrom (Karlstad University) Marcel Flores (Edgio)

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CfP: ACM CoNEXT Student Workshop 2022 (Paper Submission: Sep 23)
by Oliver Hohlfeld 16 Sep '22

16 Sep '22

[Apologies if you receive multiple copies of this CFP] ACM CoNEXT Student Workshop 2022 (Co-located with ACM CoNEXT 2022) Rome, Italy on December 9, 2022 Call: https://conferences2.sigcomm.org/co-next/2022/#!/workshop-student Submission link: https://conextsw2022.hotcrp.com *Important Dates* Paper submission: Monday Sept 23, 2022 AoE (UTC-12) (Extended) Notification: Thursday October 13, 2022 Camera-ready due: Monday October 24, 2022 Following the success of previous years, the main conference will be accompanied by a one-day Student Workshop. The ACM CoNEXT 2022 Student Workshop aims at providing a platform for graduate students in the area of computer networks and communications to learn from senior researchers in the field and present their ongoing research efforts. The venue also represents a unique opportunity for students to network with other junior researchers as well as more experienced ones, receive constructive feedback, guidance, tips, and learn about cutting-edge research problems being tackled by the community. We encourage submissions from graduate students about research at an early stage as well as more advanced dissertation-level research. Research addressing nonstandard topics, controversial problems and approaches are of particular interest. The scope of the workshop is broad and covers all aspects of networking research. Example topics include (but not limited to): - All types of networks such as mobile, wide-area, data-center, home, enterprise networks, internet-of-things, and social networks. - All types of network technologies such as wired, wireless, visual, and acoustic. - All types of network applications and services, such as the Web, video streaming, and networked mobile apps. - All aspects of networks and networked systems such as architecture, packet-processing hardware and software, virtualization, mobility, sensors, resource management, performance, energy consumption, topology, robustness, security, diagnosis, verification, privacy, economics and evolution. - All types of network design and experimental approaches such as theory, simulation, measurements, and machine learning-based techniques. - Network content manipulation, misinformation and censorship, social computing. Submissions should not be previously published in a workshop, conference, or journal. **Extended abstracts will be published with ACM**. Updates of previously presented poster and demo ideas are possible, as are descriptions of previously published tools/datasets that have new features. *Submission guidelines* See https://conferences2.sigcomm.org/co-next/2022/#!/workshop-student for further information. *Workshop organizers* General Chairs: Jon Crowcroft, University of Cambridge Narseo Vallina-Rodriguez, IMDEA Networks Institute If you have any questions, contact the workshop co-chairs by email: Jon Crowcroft <jon [dot] crowcrof [at] cl [dot] cam [dot] ac [dot] uk> or Narseo Vallina-Rodriguez <narseo [dot] vallina [at] imdea [dot] org> -- Prof. Oliver Hohlfeld Chair of Computer Networks Brandenburg University of Technology Cottbus-Senftenberg https://www.b-tu.de/en/fg-rechnernetze twitter.com/ohohlfeld www.ohohlfeld.com

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New mailing list: Measurement and research in the Asia Pacific
by Robbie Mitchell 09 Sep '22

09 Sep '22

Howdy all, The Measurement and research in the Asia Pacific<https://mailman.apnic.net/postorius/lists/measurement.apnic.net/> mailing list aims to connect members of the Internet measurement community with the APNIC community and promote research related to the measurement and health of the Internet. Subscribers are welcome to discuss relevant collaborative opportunities, grants and funding opportunities, events, jobs and graduate placings and or seek feedback from either community. https://mailman.apnic.net/postorius/lists/measurement.apnic.net/ Robbie

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[1st CoNEXT GNNet Workshop] Graph Neural Networking Workshop, co-located with CoNEXT 2022, Rome, Italy, December 9, 2022 -- Register your paper by Friday!
by Jordi Paillissé 08 Sep '22

08 Sep '22

[Apologies for cross-posting] 1st GNNet Workshop Graph Neural Networking Workshop Co-located with ACM CoNEXT 2022 December 9, 2022 https://bnn.upc.edu/workshops/gnnet2022/ We are glad to announce the first edition of the “Graph Neural Networking Workshop 2022”, which is organized as part of ACM CoNEXT 2022, to be held in Rome, Italy. All accepted papers will be included in the conference proceedings and be made available in the ACM Digital Library. SPECIAL SESSION ============== GNNet would include a dedicated special session where the top teams competing at the third edition of the Graph Neural Networking Challenge (https://bnn.upc.edu/challenge/gnnet2022/) would be invited to present the winning solutions of the challenge, providing an excellent complement to the main program. IMPORTANT DATES ================ Paper registration deadline: September 9, 2022 Paper submission deadline: September 16, 2022 Paper acceptance notifications: October 17, 2022 Camera ready due: October 25, 2022 Submissions’ site -- https://conext-gnnet2022.hotcrp.com/ MOTIVATION =========== While AI/ML is today mainstream in domains such as computer vision and speech recognition, traditional AI/ML approaches have produced below-par results in many networking applications. Proposed AI/ML solutions in networking do not properly generalize, can be unreliable and ineffective in real-network deployments, and are in general unable to properly deal with the strong dynamics and changes (i.e., concept drift) occurring in networking applications. Graphs are emerging as an abstraction to represent complex data. Computer Networks are fundamentally graphs, and many of their relevant characteristics – such as topology and routing – are represented as graph-structured data. Machine learning, especially deep representation learning, on graphs is an emerging field with a wide array of applications. Within this field, Graph Neural Networks (GNNs) have been recently proposed to model and learn over graph-structured data. Due to their unique ability to generalize over graph data, GNNs are a central tool to apply AI/ML techniques to networking applications. GOALS ====== The goal of GNNet is to leverage graph data representations and modern GNN technology to advance the application of AI/ML in networking. GNNet provides the first dedicated venue to present and discuss the latest advancements on GNNs and general AI/ML on graphs applied to networking problems. GNNet will bring together leaders from academia and industry to showcase recent methodological advances of GNNs and their application to networking problems, covering a wide range of applications and practical challenges for large-scale training and deployment. We expect GNNet would serve as the meeting point for the growing community on this fascinating domain, which has currently not a specific forum for sharing and discussion. The GNNet workshop seeks for contributions in the field of GNNs and graph-based learning applied to data communication networking problems, including the analysis of on-line and off-line massive datasets, network traffic traces, topological data, cybersecurity, performance measurements, and more. GNNet also encourages novel and out-of-the-box approaches and use cases related to the application of GNNs in networking. The workshop will allow researchers and practitioners to discuss the open issues related to the application of GNNs and graph-based learning to networking problems and to share new ideas and techniques for big data analysis and AI/ML in data communication networks. TOPICS OF INTEREST ================= We encourage both mature and positioning submissions describing systems, platforms, algorithms and applications addressing all facets of the application of GNNs and Machine learning on graphs to the analysis of data communication networks. We are particularly interesting in disruptive and novel ideas that permit to unleash the power of GNNs in the networking domain. The following is a non-exhaustive list of topics: * GNNs and graph-based learning in networking applications * Representation Learning on networking-related graphs * Application of GNNs to network and service management * Application of GNNs to network security and anomaly detection * Application of GNNs to detection of malware, botnets, intrusions, phishing, and abuse detection * Adversarial learning for GNN-driven networking applications * GNNs for data generation and digital twining in networking * Temporal and dynamic GNNs in networking * Graph-based analytics for visualization of complex networking applications * Libraries, benchmarks, and datasets for GNN-based networking applications * Scalability of GNNs for networking applications * Explainability, fairness, accountability, transparency, and privacy issues in GNN-based networking * Challenges, pitfalls, and negative results in applying GNNs to networking applications SUBMISSION INSTRUCTIONS ======================= Submissions must be original, unpublished work, and not under consideration at another conference or journal. Submitted papers must be at most six (6) pages long, including all figures, tables, references, and appendices in two-column 10pt ACM format. Papers must include authors names and affiliations for single-blind peer reviewing by the PC. Authors of accepted papers are expected to present their papers at the workshop. All accepted papers will be included in the conference proceedings and be made available in the ACM Digital Library. WORKSHOP CHAIRS ================ * Pere Barlet-Ros, BNN-UPC, Spain * Pedro Casas, AIT, Austria * Franco Scarselli, University of Siena, Italy * Xiangle Cheng, Huawei, China * Albert Cabellos, BNN-UPC, Spain PROGRAM COMMITTEE =================== * Lilian Berton, University of Sao Paulo, Brazil * Albert Bifet, Télécom ParisTech & University of Waikato, New Zealand * Laurent Ciavaglia, Rakuten, Japan * Constantine Dovrolis, Georgia Tech, USA * Lluís Fàbrega, UdG, Spain * Jerome François, INRIA, France * Fabien Geyer, Technical University of Munich, Germany * Matthias Herlich, Salzburg Research, Austria * Zied Ben Houidi, Huawei Technologies, France * Wolfgang Kellerer, Technical University of Munich, Germany * Federico Larroca, Universidad de la República, Uruguay * Alina Lazar, Youngstown State University, USA * Gonzalo Mateos, University of Rochester, USA * Christoph Neumann, Broadpeak, France * Diego Perino, Telefonica Research, Spain * Alejandro Ribeiro, University of Pennsylvania, USA * Dario Rossi, Huawei Technologies, France * Krzysztof Rusek, AGH University of Science and Technology, Poland * José Suárez-Varela. BNN-UPC, Spain * Stefano Traverso, Ermes Cyber Security, Italy Thanks, Jordi Paillissé

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