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摘要:
Tampering of biometric data has attracted a great deal of attention recently. Furthermore, there could be an intentional or accidental use of a particular biometric sample instead of another for a particular application. Therefore, there exists a need to propose a method to detect data tampering, as well as differentiate biometric samples in cases of intentional or accidental use for a different application. In this paper, fingerprint image tampering is studied. Furthermore, optically acquired fingerprints, synthetically generated fingerprints and contact-less acquired fingerprints are studied for separation purposes using the Benford’s law divergence metric. Benford’s law has shown in literature to be very effective in detecting tampering of natural images. In this paper, the Benford’s law features with support vector machine are proposed for the detection of malicious tampering of JPEG fingerprint images. This method is aimed at protecting against insider attackers and hackers. This proposed method detected tampering effectively, with Equal Error Rate (EER) of 2.08%. Again, the experimental results illustrate that, optically acquired fingerprints, synthetically generated fingerprints and contact-less acquired fingerprints can be separated by the proposed method effectively.
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文献信息
篇名 On the Use of Benford’s Law to Detect JPEG Biometric Data Tampering
来源期刊 信息安全(英文) 学科 医学
关键词 Benford’s LAW FINGERPRINTS JPEG COEFFICIENTS Tampering
年,卷(期) 2017,(3) 所属期刊栏目
研究方向 页码范围 240-256
页数 17页 分类号 R73
字数 语种
DOI
五维指标
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研究主题发展历程
节点文献
Benford’s
LAW
FINGERPRINTS
JPEG
COEFFICIENTS
Tampering
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引文网络交叉学科
相关学者/机构
期刊影响力
信息安全(英文)
季刊
2153-1234
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
230
总下载数(次)
0
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