EURASIP Journal on Information Security最新文献_第6页

Detection of illicit cryptomining using network metadata 使用网络元数据检测非法加密挖掘

IF 3.6

EURASIP Journal on Information Security Pub Date : 2021-12-01 DOI: 10.1186/s13635-021-00126-1

Michele Russo, Nedim Srndic, P. Laskov

引用次数: 3

Multitask adversarial attack with dispersion amplification 分散放大的多任务对抗攻击

IF 3.6

EURASIP Journal on Information Security Pub Date : 2021-09-22 DOI: 10.1186/s13635-021-00124-3

P. Haleta, Dmytro Likhomanov, Oleksandra Sokol

引用次数: 3

Potential advantages and limitations of using information fusion in media forensics—a discussion on the example of detecting face morphing attacks 在媒体取证中使用信息融合的潜在优势和局限性——以人脸变形攻击检测为例的讨论

IF 3.6

EURASIP Journal on Information Security Pub Date : 2021-07-29 DOI: 10.1186/s13635-021-00123-4

Christian Kraetzer, A. Makrushin, J. Dittmann, M. Hildebrandt

引用次数: 3

Detection of illicit cryptomining using network metadata 使用网络元数据检测非法加密挖掘

IF 3.6

EURASIP Journal on Information Security Pub Date : 2021-07-01 DOI: 10.21203/RS.3.RS-607598/V1

M. Russo, Nedim Srndic, P. Laskov

{"title":"Detection of illicit cryptomining using network metadata","authors":"M. Russo, Nedim Srndic, P. Laskov","doi":"10.21203/RS.3.RS-607598/V1","DOIUrl":"https://doi.org/10.21203/RS.3.RS-607598/V1","url":null,"abstract":"Illicit cryptocurrency mining has become one of the prevalent methods for monetization of computer security incidents. In this attack, victims’ computing resources are abused to mine cryptocurrency for the benefit of attackers. The most popular illicitly mined digital coin is Monero as it provides strong anonymity and is efficiently mined on CPUs.Illicit mining crucially relies on communication between compromised systems and remote mining pools using the de facto standard protocol Stratum. While prior research primarily focused on endpoint-based detection of in-browser mining, in this paper, we address network-based detection of cryptomining malware in general. We propose XMR-Ray, a machine learning detector using novel features based on reconstructing the Stratum protocol from raw NetFlow records. Our detector is trained offline using only mining traffic and does not require privacy-sensitive normal network traffic, which facilitates its adoption and integration.In our experiments, XMR-Ray attained 98.94% detection rate at 0.05% false alarm rate, outperforming the closest competitor. Our evaluation furthermore demonstrates that it reliably detects previously unseen mining pools, is robust against common obfuscation techniques such as encryption and proxies, and is applicable to mining in the browser or by compiled binaries. Finally, by deploying our detector in a large university network, we show its effectiveness in protecting real-world systems.","PeriodicalId":46070,"journal":{"name":"EURASIP Journal on Information Security","volume":"2021 1","pages":"1-20"},"PeriodicalIF":3.6,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47933683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Estimating Previous Quantization Factors on Multiple JPEG Compressed Images 多JPEG压缩图像前量化因子估计

IF 3.6

EURASIP Journal on Information Security Pub Date : 2021-06-28 DOI: 10.1186/s13635-021-00120-7

Sebastiano Battiato, Oliver Giudice, Francesco Guarnera, Giovanni Puglisi

引用次数: 4

Proposing a reliable method of securing and verifying the credentials of graduates through blockchain 提出一种通过区块链保护和验证毕业生证书的可靠方法

IF 3.6

EURASIP Journal on Information Security Pub Date : 2021-06-26 DOI: 10.1186/s13635-021-00122-5

T. Rama Reddy, P. V. G. D. Prasad Reddy, Rayudu Srinivas, Ch. V. Raghavendran, R. V. S. Lalitha, B. Annapurna

{"title":"Proposing a reliable method of securing and verifying the credentials of graduates through blockchain","authors":"T. Rama Reddy, P. V. G. D. Prasad Reddy, Rayudu Srinivas, Ch. V. Raghavendran, R. V. S. Lalitha, B. Annapurna","doi":"10.1186/s13635-021-00122-5","DOIUrl":"https://doi.org/10.1186/s13635-021-00122-5","url":null,"abstract":"Education acts as a soul in the overall societal development, in one way or the other. Aspirants, who gain their degrees genuinely, will help society with their knowledge and skills. But, on the other side of the coin, the problem of fake certificates is alarming and worrying. It has been prevalent in different forms from paper-based dummy certificates to replicas backed with database tampering and has increased to astronomic levels in this digital era. In this regard, an overlay mechanism using blockchain technology is proposed to store the genuine certificates in digital form and verify them firmly whenever needed without delay. The proposed system makes sure that the certificates, once verified, can be present online in an immutable form for further reference and provides a tamper-proof concealment to the existing certification system. To confirm the credibility of the proposed method, a prototype of blockchain-based credential securing and verification system is developed in ethereum test network. The implementation and test results show that it is a secure and feasible solution to online credential management system.","PeriodicalId":46070,"journal":{"name":"EURASIP Journal on Information Security","volume":"85 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2021-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138536920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

On the information leakage quantification of camera fingerprint estimates 相机指纹估计的信息泄漏量化研究

IF 3.6

EURASIP Journal on Information Security Pub Date : 2021-06-03 DOI: 10.1186/s13635-021-00121-6

Samuel Fernández-Menduiña, Fernando Pérez-González

引用次数: 4

Media forensics on social media platforms: a survey 社交媒体平台的媒体取证:一项调查

IF 3.6

EURASIP Journal on Information Security Pub Date : 2021-05-01 DOI: 10.1186/s13635-021-00117-2

Cecilia Pasquini, Irene Amerini, Giulia Boato

引用次数: 31

Research on gray correlation analysis and situation prediction of network information security 网络信息安全的灰色关联分析与态势预测研究

IF 3.6

EURASIP Journal on Information Security Pub Date : 2021-04-20 DOI: 10.1186/s13635-021-00118-1

Chen Ye, Wenyu Shi, Rui Zhang

引用次数: 5

Synthetic speech detection through short-term and long-term prediction traces 合成语音检测通过短期和长期的预测痕迹

IF 3.6

EURASIP Journal on Information Security Pub Date : 2021-04-06 DOI: 10.1186/s13635-021-00116-3

Clara Borrelli, Paolo Bestagini, F. Antonacci, A. Sarti, S. Tubaro

引用次数: 34