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In multi-pass transmembrane proteins, the polypeptide chain crosses the membrane more than once. The transmembrane polypeptide chain either forms an α-helix or β-strand structure. α-Helix containing multi-pass transmembrane proteins are ubiquitous, whereas β-strand containing ones are mainly found in gram-negative bacteria, mitochondria, and chloroplasts.
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When we hold a stereotype about a person, we have expectations that he or she will fulfill that stereotype. A self-fulfilling prophecy is an expectation held by a person that alters his or her behavior in a way that tends to make it true. When we hold stereotypes about a person, we tend to treat the person according to our expectations. This treatment can influence the person to act according to our stereotypic expectations, thus confirming our stereotypic beliefs. Research by Rosenthal and...
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Membrane electrodes, also known as p-ion electrodes, use membranes that selectively interact with free analyte ions, generating a potential difference across the membrane. The resulting membrane potential, known as the asymmetry potential, is not zero even when analyte concentrations on both sides of the membrane are equal. The membrane's response is typically not selective to a single analyte but proportional to the concentration of all ions in the sample solution capable of interacting at...
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Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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ProCAPTCHA:基于个人资料的CAPTCHA,用于个人密码身份验证.

Nilobon Nanglae1, Pattarasinee Bhattarakosol1

  • 1Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.

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概括
此摘要是机器生成的。

ProCAPTCHA通过使用生物识别和用户配置文件生成独特的CAPTCHA来增强安全性,有效地区分人类和机器人. 这种新的方法显著提高了机器人检测准确性和登录安全性.

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科学领域:

  • 计算机科学 计算机科学
  • 网络安全 网络安全
  • 人与计算机的交互

背景情况:

  • 传统的CAPTCHA系统难以区分人类和复杂的机器人.
  • 现有的CAPTCHA漏洞需要先进的安全措施.
  • 第三方攻击对CAPTCHA的完整性构成重大威胁.

研究的目的:

  • 为了引入ProCAPTCHA,一个新的CAPTCHA系统.
  • 通过合并生物识别和用户配置文件来增强用户身份验证.
  • 开发一个抵抗机器人攻击的CAPTCHA.

主要方法:

  • ProCAPTCHA将按键动态和个人信息合并为个性化的CAPTCHA生成.
  • 用户配置文件数据和算法确保CAPTCHA随机性和每次登录的独特性.
  • 性能评估评估了ProCAPTCHA对合法用户和入侵者的准确性.

主要成果:

  • 在识别合法用户方面,ProCAPTCHA实现了100%的准确性.
  • 60%的入侵者被错误地归类为合法用户.
  • 机器人经历了显著的延迟,经常由于系统时间限制而失败,阻止访问.

结论:

  • ProCAPTCHA提供了一种强大的解决方案来应对自动化机器人攻击.
  • 该系统依赖于独特的用户生物识别和个人资料,提高了安全性.
  • ProCAPTCHA有效地减轻了机器人的未经授权访问.