Evidence map›Paper›PMID 42310360›Full record

ArticleScientific reports2026

An HEVC-based known-plaintext attack for video selective encryption.

Chen Chen, Yuan Yuan, Ningxiong Mao, Hadi Amirpour, Lingfeng Qu

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chen ChenCollege of Artificial Intelligence, Guangzhou Railway Polytechnic, Guangzhou, China.
Yuan YuanSchool of Computer Science, Sichuan Normal University, Chengdu, China.
Ningxiong MaoSchool of Computer/School of Software, University of South China, Hengyang, China.
Hadi AmirpourChristian Doppler Laboratory ATHENA, Institute of Information Technology (ITEC), University of Klagenfurt, Klagenfurt, Austria.
Lingfeng QuCyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China. qlf@gzhu.edu.cn.

Funding

guangzhou railway polytechnic general project GTXYYB250201National Natural Science Foundation of China 62402125
6 · The paper itself

Abstract

In this paper, we propose an HEVC-based known-plaintext attack (HKPA) to reveal and evaluate these weaknesses. Unlike typical KPAs, our approach assumes the attacker has access to only a single plaintext-ciphertext video pair, which makes cryptanalysis considerably more challenging. We first define the slice synchronization identifier and then design a decoder for the synchronized slice to generate the estimated key sequence (EKS). Once the attacker acquires the EKS, it becomes possible to decrypt other videos encrypted with the same initial key. Our experimental findings demonstrate that a significant portion of the video content in decrypted videos is recognizable, with the EKS achieving an average accuracy exceeding 86%. These results underscore the vulnerability of current SE schemes to our proposed HKPA.

Identifiers

PMID42310360
PMCPMC13542133

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.