---
title: "RAID (A): papers and universities"
description: "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)."
url: https://scholar4ai.com/proceedings/raid
markdown_url: https://scholar4ai.com/proceedings/raid.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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… (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# 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.

All conferences: https://scholar4ai.com/proceedings.md

## 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)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 43 | 43 |
| 2025 | 73 | 62 |
| 2026 | – | – |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S7407088062](https://openalex.org/S7407088062) | The conference's proceedings |

## Who publishes there

*Institutions with the most RAID papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 6 |
| 2 | Institute of Information Engineering | 6 |
| 3 | Northeastern University | 4 |
| 4 | Commonwealth Scientific and Industrial Research Organisation | 4 |
| 5 | [Xidian University](https://scholar4ai.com/institutions/xidian-university.md) | 4 |
| 6 | Data61 | 4 |
| 7 | University College London | 4 |
| 8 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 4 |
| 9 | Institut national de recherche en sciences et technologies du numérique | 3 |
| 10 | [National University of Singapore](https://scholar4ai.com/institutions/national-university-of-singapore.md) | 3 |

*Countries with the most RAID papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 36 |
| 2 | China | 31 |
| 3 | Germany | 13 |
| 4 | Australia | 12 |
| 5 | France | 7 |
| 6 | Singapore | 7 |
| 7 | United Kingdom | 6 |
| 8 | Austria | 4 |
| 9 | Belgium | 3 |
| 10 | Canada | 3 |

*Keywords with the most RAID papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | malware detection | 8 |
| 2 | anomaly detection | 5 |
| 3 | attack detection | 5 |
| 4 | [federated learning](https://scholar4ai.com/keywords/federated-learning.md) | 5 |
| 5 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 5 |
| 6 | advanced persistent threats | 4 |
| 7 | concept drift | 4 |
| 8 | malware analysis | 4 |
| 9 | vulnerability detection | 4 |
| 10 | Linux kernel | 3 |

## Most-cited papers

*Most-cited RAID papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 32 | [Security of Cross-chain Bridges: Attack Surfaces, Defenses, and Open Problems](https://doi.org/10.1145/3678890.3678894) | 2024-09-29 | Mengya Zhang, Xiaokuan Zhang, Yinqian Zhang et al. |
| 2 | 20 | [Extending C2 Traffic Detection Methodologies: From TLS 1.2 to TLS 1.3-enabled Malware](https://doi.org/10.1145/3678890.3678921) | 2024-09-29 | Diogo Barradas, Carlos Novo, Bernardo Portela et al. |
| 3 | 17 | [Large-Scale Security Analysis of Real-World Backend Deployments Speaking IoT-Focused Protocols](https://doi.org/10.1145/3678890.3678899) | 2024-09-29 | Carlotta Tagliaro, Martina Komsic, Andrea Continella et al. |
| 4 | 16 | [AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images](https://doi.org/10.1145/3678890.3678922) | 2024-09-29 | Jonas Ricker, Dennis Assenmacher, Thorsten Holz et al. |
| 5 | 14 | [Leveraging Deep Reinforcement Learning for Cyber-Attack Paths Prediction: Formulation, Generalization, and Evaluation](https://doi.org/10.1145/3678890.3678902) | 2024-09-29 | Franco Terranova, Abdelkader Lahmadi, Isabelle Chrisment |
| 6 | 13 | [Fixing Insecure Cellular System Information Broadcasts For Good](https://doi.org/10.1145/3678890.3678924) | 2024-09-29 | Alexander J. Ross, Bradley Reaves, Yomna Nasser et al. |
| 7 | 12 | [ADAPT it! Automating APT Campaign and Group Attribution by Leveraging and Linking Heterogeneous Files](https://doi.org/10.1145/3678890.3678909) | 2024-09-29 | Aakanksha Saha, Jorge Blasco, Lorenzo Cavallaro et al. |
| 8 | 12 | [KernJC: Automated Vulnerable Environment Generation for Linux Kernel Vulnerabilities](https://doi.org/10.1145/3678890.3678891) | 2024-09-29 | Bonan Ruan, Jiahao Liu, Chuqi Zhang et al. |
| 9 | 11 | [Mateen: Adaptive Ensemble Learning for Network Anomaly Detection](https://doi.org/10.1145/3678890.3678901) | 2024-09-29 | Fahad Alotaibi, Sergio Maffeis |
| 10 | 10 | [Catch You Cause I Can: Busting Rogue Base Stations using CellGuard and the Apple Cell Location Database](https://doi.org/10.1145/3678890.3678898) | 2024-09-29 | Lukas Arnold, Matthias Hollick, Jiska Classen |

## 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).