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Encryption and Biometrics:Context, methodologies and perspectives of biological data

机译:加密和生物识别:生物数据的背景,方法和观点

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The majority of the authentication systems found today can be broken or stolen and generally are characterized by reduced security. Therefore, numerous efforts have been made in developing effective methods in the areas of cryptography, data hiding and biometrics in order to achieve an enhanced level of information security. Biometrics or Biometric authentication uses subjects’ biological (DNA, ear, face, fingerprint, gait-body motion, hand geometry-vein pattern, iris-retina and odor) and behavioural data (keystroke dynamics, signature, smell and voice) in order to improve security and convenience. However, there are important technological challenges such as accuracy, reliability, data security, user acceptance, cost, and interoperability, as well as challenges associated with ensuring effective privacy protections. Although iris-retina scan and face thermogram gather most of the characteristics of an ideal biometric system the final biometric selection should be based on application’s purpose. Recently, novel approaches for the development of practical biometric identification systems have led to security enhancement of biometrics and cryptography. One of the most efficient methodologies towards security maximization of biometrics and cryptography seems to be the use of multimodality biometrics data since each biometric modality separately has its weaknesses. Other promising methods include cancellable biometrics via atrifacts which seems to overcome most of the risks and vulnerabilities related to security and privacy.
机译:当今发现的大多数身份验证系统都可能被破坏或被盗,并且通常以安全性降低为特征。因此,在密码学,数据隐藏和生物统计领域开发有效的方法方面已经进行了许多努力,以实现更高级别的信息安全性。生物识别或生物识别认证使用受试者的生物(DNA,耳朵,面部,指纹,步态运动,手的几何结构,静脉纹,虹膜-视网膜和气味)和行为数据(击键动态,签名,气味和声音)来进行提高安全性和便利性。但是,存在着重要的技术挑战,例如准确性,可靠性,数据安全性,用户接受度,成本和互操作性,以及与确保有效的隐私保护相关的挑战。尽管虹膜-视网膜扫描和面部温度记录图收集了理想生物识别系统的大部分特征,但最终的生物识别选择应基于应用目的。近来,用于开发实用生物识别系统的新颖方法导致生物识别和密码学的安全性增强。最大化生物特征和密码学安全性的最有效方法之一似乎是使用多模态生物特征数据,因为每种生物特征都分别具有其弱点。其他有前途的方法包括通过无礼可取消的生物特征识别,这似乎克服了与安全性和隐私有关的大多数风险和漏洞。

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