计算机研究与发展
計算機研究與髮展
계산궤연구여발전
JOURNAL OF COMPUTER RESEARCH AND DEVELOPMENT
2009年
11期
1862-1867
,共6页
朱和贵%张祥德%杨连平%唐青松
硃和貴%張祥德%楊連平%唐青鬆
주화귀%장상덕%양련평%당청송
人体指纹特征%人体指纹特征随机序列发生器%自相关函数%BDS统计检验%FIPS140-1 Tests%NIST Special Publication 800-22 Tests
人體指紋特徵%人體指紋特徵隨機序列髮生器%自相關函數%BDS統計檢驗%FIPS140-1 Tests%NIST Special Publication 800-22 Tests
인체지문특정%인체지문특정수궤서렬발생기%자상관함수%BDS통계검험%FIPS140-1 Tests%NIST Special Publication 800-22 Tests
fingerprint characteristics%fingerprint-based random sequence generator%auto-correlation function%BDS statistical tests%FIPS140-1 Tests%NIST Special Publication 800-22 Tests
利用人体指纹特征本身内在的唯一性、不可预测性和外部随机噪声(光照、损伤等)给出了产生随机序列的一类新方法--基于人体指纹特征的随机序列发生器,实现了人体生物特征与密码的结合.使用自相关函数方法和BDS统计检验方法验证了该随机序列优良的线性不相关性和非线性不相关性,得到了完全不可预测的非周期随机序列.通过美国国家标准技术研究院(NIST)推荐的标准随机统计测验FIPS140-1 Tests和NIST Special Publication 800-22 Tests对该随机序列进行了检验.检验结果表明基于人体指纹特征的随机序列发生器是满足密码安全的随机序列发生器,并且实现简单、方便.
利用人體指紋特徵本身內在的唯一性、不可預測性和外部隨機譟聲(光照、損傷等)給齣瞭產生隨機序列的一類新方法--基于人體指紋特徵的隨機序列髮生器,實現瞭人體生物特徵與密碼的結閤.使用自相關函數方法和BDS統計檢驗方法驗證瞭該隨機序列優良的線性不相關性和非線性不相關性,得到瞭完全不可預測的非週期隨機序列.通過美國國傢標準技術研究院(NIST)推薦的標準隨機統計測驗FIPS140-1 Tests和NIST Special Publication 800-22 Tests對該隨機序列進行瞭檢驗.檢驗結果錶明基于人體指紋特徵的隨機序列髮生器是滿足密碼安全的隨機序列髮生器,併且實現簡單、方便.
이용인체지문특정본신내재적유일성、불가예측성화외부수궤조성(광조、손상등)급출료산생수궤서렬적일류신방법--기우인체지문특정적수궤서렬발생기,실현료인체생물특정여밀마적결합.사용자상관함수방법화BDS통계검험방법험증료해수궤서렬우량적선성불상관성화비선성불상관성,득도료완전불가예측적비주기수궤서렬.통과미국국가표준기술연구원(NIST)추천적표준수궤통계측험FIPS140-1 Tests화NIST Special Publication 800-22 Tests대해수궤서렬진행료검험.검험결과표명기우인체지문특정적수궤서렬발생기시만족밀마안전적수궤서렬발생기,병차실현간단、방편.
In this paper, fingerprint characteristic is not used in identification and recognition as usual. On the contrary, the randomness of fingerprint characteristics including uniqueness, unpredictability, and external noises such as lighting and trauma, are all used to develop a new kind of random sequence generator-ingerprint-based random sequence generator, which combines cryptography with biometrics characteristics in a novel way. In order to guarantee the fingerprint-based random sequence generator works well, firstly, the auto-correlation function method and BDS statistical tests are used to verify there are no linear correlation and nonlinear correlation in fingerprint-based random sequence. Consequently, fingerprint-based random sequence obtained in this paper is absolutely and truly random. Furthermore, to verify the fingerprint-based random sequence generator is good and with high cryptographic security, the generated fingerprint-based random sequences are tested at a high level of significance by a variety of modern standard statistical tests. All these tests are from the standard Federal Information Processing Standards (FIPS) 140-1 Tests and National Institute of Standards and Technology (NIST) Special Publication 800-22 Tests which are recommended by NIST. In a word, all these discussions show that there are wide application fields for the fingerprint-based random sequence generator, which not only extends the possibilities of obtaining truly random sequence through biological systems, but also provides random sequences in simple and portable way.