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IEEE/IFIP DSN 2026 : The 56th Annual IEEE/IFIP International Conference on Dependable Systems and Networks

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Link: https://dsn2026.github.io/cfpapers.html
 
When Jun 22, 2026 - Jun 25, 2026
Where Charlotte, USA
Abstract Registration Due Nov 27, 2025
Submission Deadline Dec 4, 2025
Notification Due Mar 19, 2026
Final Version Due Apr 28, 2026
Categories    conferences   systems   networks
 

Call For Papers

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IEEE/IFIP DSN 2026: Call for Contributions - Research Track

The 56th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2026)
Charlotte, USA
June 22-25, 2026
dsn2026.github.io

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Society is increasingly dependent on the dependability and security of all types of computing systems. These systems include the CPUs/GPUs/DPUs/TPUs, mobile/edge devices, clouds, networks, personal computers, large-scale systems, and cyber-physical systems that provide services we use in our everyday lives. Accidents, disasters, failures, incorrect operation, or intentional compromise of these systems and networks can have dire implications on our well-being, our privacy, our society at large, and our planet.

The Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) is devoted to the mission of ensuring that the computing systems and networks on which society relies are dependable and secure.

DSN, one of the longest-running IEEE/IFIP conferences, organizing its 56th edition in 2026, has pioneered the fusion between dependability and security research under a common body of knowledge, understanding the need to simultaneously fight against accidental faults, intentional (malicious) attacks, design errors, and unexpected operation conditions. Its distinctive approach to both accidental faults and malicious attacks has made DSN the most prestigious international forum for presenting research that pushes the boundaries in the robustness and resilience of a wide spectrum of computing systems and networks.

All aspects of research and practice of computer system resilience (i.e., dependability and security) are within the scope of DSN. Relevant topics include but are not limited to: 1) innovative systems, architectures, protocols, and algorithms for preventing, detecting, diagnosing, eliminating, or recovering from accidental and malicious threats as well as 2) practical experimentation with and assessment of the dependability and security of all types of computing systems and networks.

Authors are invited to submit original papers on all topics within this broad scope. Example topical areas include but are not limited to the following:

* Hardware (e.g., CPUs/GPUs/DPUs/TPUs, memory systems, systems on chip, I/O devices, storage systems, Trusted Execution Environments (TEEs), edge and mobile devices, data center infrastructure, hardware accelerators, emerging technologies, emerging paradigms like processing in memory & quantum computing);
* Software (e.g., applications, middleware, distributed algorithms, operating systems, software security, dependable software design);
* Networked systems and clouds (e.g., wireless networks, mobility, software-defined networking, edge computing, cloud computing/storage, networks on chip, network security);
* Autonomous systems (e.g., self-driving vehicles, autonomous robots, assured autonomy, explainable decision-making, acceptability, privacy issues);
* Cyber-physical systems (e.g., embedded systems, real-time control of critical systems, internet of things, smart grid, automotive, aerospace, railway, medical systems, security and safety of cyber-physical systems);
* Distributed ledgers/Blockchains (e.g., BFT/consensus algorithms, cryptocurrencies, decentralized storage, zero-knowledge proofs, cross-chain protocols);
* AI/Machine Learning for resilient systems (e.g., robust, resilient, secure, and explainable AI/Machine Learning techniques; applications of AI/ML/LLM techniques for dependability and security, robustness issues in AI/ML/LLM systems);
* Models and methodologies for programming, evaluating, verifying, and assessing robust (dependable and secure) systems (e.g., performance and dependability evaluation, analytical and numerical methods, simulation, experimentation, benchmarking, verification, field data analysis);
* Emerging technologies and computing paradigms (e.g., robustness, security, dependability issues of emerging memory and storage systems, emerging computing paradigms like quantum computing, processing in memory/sensors/storage/network, 3-dimensional architectures, new hardware/software cooperative paradigms, emerging programming and system paradigms).


Important dates
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Nov 27, 2025: Abstract Submission Deadline
Dec 4, 2025: Paper Submission Deadline
Jan 27, 2026: Early Reject Notification
Feb 13 - 27, 2026: Author Rebuttal & Revision Period
Mar 19, 2026: Notification to Authors
Apr 28, 2026: Camera Ready Materials

* All dates refer to AoE time (Anywhere on Earth) *


Paper Categories
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When submitting, authors have to select one of the following categories:

Regular papers (11 pages): a full paper describing a research contribution, including experimental work focused on implementation and evaluation of existing techniques in the DSN thematic areas. Papers should clearly describe a novel scientific contribution and a significant advancement of the state of knowledge in DSN-relevant topics. The paper should address a significant problem with a compelling solution whose validity and practical applicability are clearly discussed.

Practical experience reports (7 pages): a shorter paper describing practitioner experiences or lessons learned applying tools and techniques to real-world problems and systems, or based on the empirical analysis of field data using a rigorous scientific approach. A paper in this category is expected to show new insights and experiences informing the research and practice of robust computing system design. Contributions reporting on industry practical experiences and lessons learned are highly encouraged, including studies reporting negative results or challenges about the practical applicability or scalability of research results in industry.

Tool descriptions/demonstrations (7 pages): descriptions of the architecture, implementation, and usage of substantive tools to aid the research and practice of dependability. A tool paper is expected to describe and demonstrate the value that the tool brings to the dependability community. Making the tool publicly available, whenever possible, is strongly encouraged.


Artifacts
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DSN supports open science, where authors of accepted papers are encouraged to make their code and datasets publicly available to ensure reproducibility and replicability by other researchers. DSN 2026 will offer a separate artifact evaluation track that is open to all accepted papers from all three categories of the research track. The goals of the artifact track are to (1) increase confidence in a paper's claims and results, and (2) facilitate future research via publicly available datasets and tools.

The artifacts will be evaluated by a dedicated Artifacts Evaluation (AE) committee through a single-blind review process, where authors should be available to respond quickly during the artifact evaluation. All artifacts submitted will compete for a “Distinguished Artifact Award” to be decided by that committee.


Awards
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DSN gives three Best Paper Awards and one of them, based on the quality of the oral presentation, will also receive a Distinguished Best Paper Award. All of them will be presented in a special Best Paper Session at the conference.

DSN also attributes a group of awards based on nominations. These awards are the William C. Carter Ph.D. Dissertation Award in Dependability, the Rising Star in Dependability Award, the Test-of-Time Award, and the Jean-Claude Laprie Award. Please check the relevant page on the DSN website for additional details.

As noted above, there will also be a Distinguished Artifact Award.


Program Committee Co-Chairs
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Lydia Y. Chen, University of Neuchatel and TU Delft
Miguel Correia, INESC-ID, Instituto Superior Técnico, U.Lisboa


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For more information, please visit the Call for Contributions at the DSN website (dsn2026.github.io/cfpapers.html) or contact research_track@dsn.org.

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