EURASIP Journal on Information Security

EURASIP Journal on Information Security
影响因子:
2.5
ISSN:
print: 2510-523X
on-line: 1687-4161
研究领域:
COMPUTER SCIENCE, INFORMATION SYSTEMS
自引率:
0.00%
Gold OA文章占比:
100.00%
原创研究文献占比:
100.00%
SCI收录类型:
Emerging Sources Citation Index (ESCI) || Scopus (CiteScore) || Directory of Open Access Journals (DOAJ)
期刊介绍英文:
The overall goal of the EURASIP Journal on Information Security, sponsored by the European Association for Signal Processing (EURASIP), is to bring together researchers and practitioners dealing with the general field of information security, with a particular emphasis on the use of signal processing tools in adversarial environments. As such, it addresses all works whereby security is achieved through a combination of techniques from cryptography, computer security, machine learning and multimedia signal processing. Application domains lie, for example, in secure storage, retrieval and tracking of multimedia data, secure outsourcing of computations, forgery detection of multimedia data, or secure use of biometrics. The journal also welcomes survey papers that give the reader a gentle introduction to one of the topics covered as well as papers that report large-scale experimental evaluations of existing techniques. Pure cryptographic papers are outside the scope of the journal. Topics relevant to the journal include, but are not limited to: • Multimedia security primitives (such digital watermarking, perceptual hashing, multimedia authentictaion) • Steganography and Steganalysis • Fingerprinting and traitor tracing • Joint signal processing and encryption, signal processing in the encrypted domain, applied cryptography • Biometrics (fusion, multimodal biometrics, protocols, security issues) • Digital forensics • Multimedia signal processing approaches tailored towards adversarial environments • Machine learning in adversarial environments • Digital Rights Management • Network security (such as physical layer security, intrusion detection) • Hardware security, Physical Unclonable Functions • Privacy-Enhancing Technologies for multimedia data • Private data analysis, security in outsourced computations, cloud privacy
CiteScore:
CiteScoreSJRSNIPCiteScore排名
8.81.0791.597
学科
排名
百分位
大类:Computer Science
小类:Signal Processing
21 / 131
84%
大类:Computer Science
小类:Computer Science Applications
137 / 817
83%
发文信息
WOS期刊分区
学科分类
Q2COMPUTER SCIENCE, INFORMATION SYSTEMS
历年影响因子
2022年3.6000
2023年2.5000
历年发表
2017年13
2018年13
2019年16
2020年15
2021年13
2022年6
投稿信息
出版语言:
English
出版国家(地区):
United Kingdom
审稿时长:
13 weeks
出版商:
SpringerOpen

EURASIP Journal on Information Security - 最新文献

Access control for trusted data sharing

Pub Date : 2024-09-10 DOI: 10.1186/s13635-024-00178-z Maria Zubair, Maryam Sabzevari, Vikramajeet Khatri, Sasu Tarkoma, Kimmo Hätönen

DQ-NN and phantom routing for enhanced source location privacy for IoT under multiple source and destination

Pub Date : 2024-09-05 DOI: 10.1186/s13635-024-00176-1 Arpitha T., Dharamendra Chouhan, Shreyas J.

Trajectory-aware privacy-preserving method with local differential privacy in crowdsourcing

Pub Date : 2024-09-02 DOI: 10.1186/s13635-024-00177-0 Yingcong Hong, Junyi Li, Yaping Lin, Qiao Hu, Xiehua Li
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