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

RAID: The International Symposium on Research in Attacks, Intrusions and Defenses (was International Symposium on Recent Advances in Intrusion Detection) — papers and institutions, 2024–2026

Papers of RAID, The International Symposium on Research in Attacks, Intrusions and Defenses (was International Symposium on Recent Advances in Intrusion Detection) (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#

  • RAID (The International Symposium on Research in Attacks, Intrusions and Defenses (was International Symposium on Recent Advances in Intrusion Detection)) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 116 of its papers from 2024–2026 (43 in 2024, 73 in 2025; 2026 not in OpenAlex yet).
  • By the countries of the authors' institutions, the most papers come from the United States (36), China (31) and Germany (13).
  • The institutions with the most papers are Chinese Academy of Sciences (6), Institute of Information Engineering (6) and Northeastern University (4).
  • Its most-cited paper of these years is “Security of Cross-chain Bridges: Attack Surfaces, Defenses, and Open Problems” (2024), with 32 citations.

Papers per year#

RAID papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
20244343
20257362
2026––

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S7407088062The conference's proceedings

Who publishes there#

Institutions with the most RAID papers, 2024–2026
#InstitutionPapers
1Chinese Academy of Sciences6
2Institute of Information Engineering6
3Northeastern University4
4Commonwealth Scientific and Industrial Research Organisation4
5Xidian University4
6Data614
7University College London4
8Tsinghua University4
9Institut national de recherche en sciences et technologies du numérique3
10National University of Singapore3
Countries with the most RAID papers, 2024–2026
#CountryPapers
1United States36
2China31
3Germany13
4Australia12
5France7
6Singapore7
7United Kingdom6
8Austria4
9Belgium3
10Canada3
Keywords with the most RAID papers, 2024–2026
#KeywordPapers
1malware detection8
2anomaly detection5
3attack detection5
4federated learning5
5large language models5
6advanced persistent threats4
7concept drift4
8malware analysis4
9vulnerability detection4
10Linux kernel3

Most-cited papers#

Most-cited RAID papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
132Security of Cross-chain Bridges: Attack Surfaces, Defenses, and Open Problems2024-09-29Mengya Zhang, Xiaokuan Zhang, Yinqian Zhang et al.
220Extending C2 Traffic Detection Methodologies: From TLS 1.2 to TLS 1.3-enabled Malware2024-09-29Diogo Barradas, Carlos Novo, Bernardo Portela et al.
317Large-Scale Security Analysis of Real-World Backend Deployments Speaking IoT-Focused Protocols2024-09-29Carlotta Tagliaro, Martina Komsic, Andrea Continella et al.
416AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images2024-09-29Jonas Ricker, Dennis Assenmacher, Thorsten Holz et al.
514Leveraging Deep Reinforcement Learning for Cyber-Attack Paths Prediction: Formulation, Generalization, and Evaluation2024-09-29Franco Terranova, Abdelkader Lahmadi, Isabelle Chrisment
613Fixing Insecure Cellular System Information Broadcasts For Good2024-09-29Alexander J. Ross, Bradley Reaves, Yomna Nasser et al.
712ADAPT it! Automating APT Campaign and Group Attribution by Leveraging and Linking Heterogeneous Files2024-09-29Aakanksha Saha, Jorge Blasco, Lorenzo Cavallaro et al.
812KernJC: Automated Vulnerable Environment Generation for Linux Kernel Vulnerabilities2024-09-29Bonan Ruan, Jiahao Liu, Chuqi Zhang et al.
911Mateen: Adaptive Ensemble Learning for Network Anomaly Detection2024-09-29Fahad Alotaibi, Sergio Maffeis
1010Catch You Cause I Can: Busting Rogue Base Stations using CellGuard and the Apple Cell Location Database2024-09-29Lukas Arnold, Matthias Hollick, Jiska Classen

Conferences in the same field#

CCS · SP · NDSS · CRYPTO · Eurocrypt · PETS · AsiaCCS · CHES · ESORICS · ASIACRYPT · EuroS&P · ACSAC · CSF · FC

Cite this page

Scholar4AI. (2026). RAID: The International Symposium on Research in Attacks, Intrusions and Defenses (was International Symposium on Recent Advances in Intrusion Detection) — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/raid

@misc{scholar4ai-proceedings-raid,
  author = {{Scholar4AI}},
  title = {RAID: The International Symposium on Research in Attacks, Intrusions and Defenses (was International Symposium on Recent Advances in Intrusion Detection) — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/raid}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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