Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

EuroS&P: IEEE European Symposium on Security and Privacy — papers and institutions, 2024–2026

Papers of EuroS&P, IEEE European Symposium on Security and Privacy (CORE rank A; field: Cybersecurity and privacy), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02. Also as Markdown.

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Key findings#

  • EuroS&P (IEEE European Symposium on Security and Privacy) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 220 of its papers from 2024–2026 (55 in 2024, 70 in 2025, 95 in 2026).
  • By the countries of the authors' institutions, the most papers come from the United States (67), Germany (32) and the United Kingdom (25).
  • The institutions with the most papers are Helmholtz Center for Information Security (10), KU Leuven (8) and Institut national de recherche en sciences et technologies du numérique (6).
  • Its most-cited paper of these years is “Bad Design Smells in Benchmark NIDS Datasets” (2024), with 26 citations.
  • OpenAlex has affiliations for only 85% of its papers, so the institution and country counts are incomplete.

Papers per year#

EuroS&P papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
20245545
20257060
20269582

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S4306418620The conference's proceedings

Who publishes there#

Institutions with the most EuroS&P papers, 2024–2026
#InstitutionPapers
1Helmholtz Center for Information Security10
2KU Leuven8
3Institut national de recherche en sciences et technologies du numérique6
4Imperial College London6
5New York University6
6University of California, Berkeley6
7Delft University of Technology6
8Google (United States)5
9Centre National de la Recherche Scientifique5
10University of Padua5
Countries with the most EuroS&P papers, 2024–2026
#CountryPapers
1United States67
2Germany32
3United Kingdom25
4China16
5Switzerland14
6Netherlands14
7Italy13
8Belgium11
9France10
10Hong Kong8
Keywords with the most EuroS&P papers, 2024–2026
#KeywordPapers
1side-channel attacks7
2fully homomorphic encryption6
3large language models6
4federated learning5
5reverse engineering5
6software testing5
7trusted execution environments5
8vulnerability detection5
9access control4
10adversarial attacks4

Most-cited papers#

Most-cited EuroS&P papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
126Bad Design Smells in Benchmark NIDS Datasets2024-07-08Robert Flood, Gints Engelen, David Aspinall et al.
222LLMPot: Dynamically Configured LLM-based Honeypot for Industrial Protocol and Physical Process Emulation2025-06-30Christoforos Vasilatos, Dunia J. Mahboobeh, Hithem Lamri et al.
321Gotcha: Real-Time Video Deepfake Detection via Challenge-Response2024-07-08Govind Mittal, Chinmay Hegde, Nasir D. Memon
418CTINexus: Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language Models2025-06-30Yutong Cheng, Osama Bajaber, Saimon Amanuel Tsegai et al.
515SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework2025-06-30Binh Minh Le, Jiwon Kim, Simon S. Woo et al.
615SoK: SSO-MONITOR - The Current State and Future Research Directions in Single Sign-on Security Measurements2024-07-08Louis Jannett, Maximilian Westers, Tobias Wich et al.
714SoK: Public Randomness2024-07-08Alireza Kavousi, Zhipeng Wang, Philipp Jovanovic
813MQ on my Mind: Post-Quantum Signatures from the Non-Structured Multivariate Quadratic Problem2024-07-08Ryad Benadjila, Thibauld Feneuil, Matthieu Rivain
911Communication-Efficient Secure Logistic Regression2024-07-08Amit Agarwal, Stanislav Peceny, Mariana Raykova et al.
108MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning2025-06-30Jiliang Li, Yifan Zhang, Yu Huang et al.

Conferences in the same field#

CCS · SP · NDSS · CRYPTO · Eurocrypt · PETS · AsiaCCS · CHES · ESORICS · ASIACRYPT · ACSAC · CSF · RAID · FC

Cite this page

Scholar4AI. (2026). EuroS&P: IEEE European Symposium on Security and Privacy — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/euros-p

@misc{scholar4ai-proceedings-euros-p,
  author = {{Scholar4AI}},
  title = {EuroS&P: IEEE European Symposium on Security and Privacy — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/euros-p}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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