anonymize

简明释义

英[əˈnɒnɪmaɪz]美[əˈnɑːnɪmaɪz]

隐去姓名资料

使匿名

英英释义

单词用法

同义词

反义词

例句

1.If scientists are to study massive datasets such as mobile phone records, search queries and movie ratings, the owners of these datasets need to find a way to anonymize the data before releasing it.

如果科学家们想要研究大型数据集，比如移动电话记录，搜索查询和电影评级相关的数据集，这些数据集的拥有者就需要在释放这些数据前进行数据匿名化处理。

2.Not to provide information about how to reach power management functionality is comparable to anonymize the graphics adapter and hiding information about vendor, model and specifications.

不提供有关于如何触及电源管理功能装置的资讯，就如同隐匿图形接头(graphicsadapter)以及隐藏起有关于供应者(vendor)、模型(model)和规格说明(specifications)等资讯一样。

3.We are asking Viacom to respect users' privacy and allow us to anonymize the logs before producing them under the court's order.

我们要求Viacom尊重用户的隐私并且允许我们在按法院要求生成这些记录之前对其进行匿名化处理。

4.If scientists are to study massive datasets such as mobile phone records, search queries and movie ratings, the owners of these datasets need to find a way to anonymize the data before releasing it.

如果科学家们想要研究大型数据集，比如移动电话记录，搜索查询和电影评级相关的数据集，这些数据集的拥有者就需要在释放这些数据前进行数据匿名化处理。

5.To protect user privacy, the company decided to anonymize 匿名化 all customer data before sharing it with third parties.

为了保护用户隐私，公司决定在与第三方共享之前对所有客户数据进行匿名化。

6.The app anonymizes 匿名化 user locations to prevent tracking by advertisers.

该应用程序对用户位置进行匿名化，以防止广告商追踪。

7.Researchers often anonymize 匿名化 survey responses to ensure that participants feel safe sharing their opinions.

研究人员经常对调查回应进行匿名化，以确保参与者在分享意见时感到安全。

8.Before publishing the dataset, we need to anonymize 匿名化 any personally identifiable information.

在发布数据集之前，我们需要对任何个人身份信息进行匿名化。

9.The health organization will anonymize 匿名化 patient records to comply with privacy regulations.

该健康组织将对病历进行匿名化，以遵守隐私法规。

作文

In today's digital age, the importance of data privacy cannot be overstated. As individuals increasingly share their personal information online, the need to protect this data has become paramount. One effective method to safeguard sensitive information is to anonymize it. To anonymize means to remove any identifiable information from a dataset, ensuring that individuals cannot be easily recognized or traced back through the data. This process is crucial for maintaining privacy and fostering trust in various sectors, including healthcare, finance, and social media.For instance, in the healthcare industry, patient data is often collected for research purposes. However, this data can contain sensitive information that, if exposed, could lead to serious privacy violations. By anonymizing the data, researchers can still analyze trends and outcomes without compromising patient confidentiality. This not only protects patients but also encourages more individuals to participate in studies, knowing their identities are secure.Similarly, in the realm of social media, users frequently share their thoughts, experiences, and personal details. Companies that analyze user data for marketing purposes must ensure they anonymize this information to respect user privacy. If companies fail to do so, they risk losing the trust of their audience and facing potential legal repercussions. By anonymizing data, these companies can gain valuable insights while upholding ethical standards and protecting user identities.Moreover, anonymizing data can help mitigate the risk of identity theft and fraud. When personal information such as names, addresses, and social security numbers are stored in databases, they become prime targets for hackers. However, if organizations implement effective anonymization techniques, even if data breaches occur, the stolen information would be worthless to cybercriminals. This protective measure significantly reduces the potential harm to individuals whose data might have been compromised.Despite its benefits, anonymizing data is not without challenges. One major concern is that if the process is not done correctly, there is a risk of re-identification. Sophisticated algorithms and data analysis techniques can sometimes reverse the anonymization, allowing malicious actors to piece together information and identify individuals. Therefore, it is essential for organizations to use robust methods and continuously update their practices to ensure the effectiveness of anonymization.In conclusion, the ability to anonymize data plays a critical role in preserving privacy and protecting individuals in our increasingly interconnected world. Whether in healthcare, social media, or any other sector that handles personal information, anonymization serves as a vital tool for safeguarding identities. As technology continues to evolve, so too must our approaches to data privacy. By prioritizing the anonymization of sensitive information, we can create a safer environment for everyone, encouraging the responsible sharing of data while minimizing risks. Ultimately, the future of data privacy hinges on our ability to effectively anonymize personal information and uphold the trust of individuals in a digital landscape.

在当今数字时代，数据隐私的重要性不容低估。随着个人越来越多地在线分享他们的个人信息，保护这些数据的需求变得至关重要。一种有效的方法是对敏感信息进行匿名化。匿名化意味着从数据集中删除任何可识别的信息，确保个人无法轻易被识别或追溯到数据。这一过程对于维护隐私和促进各个领域的信任至关重要，包括医疗保健、金融和社交媒体。例如，在医疗行业，通常会收集患者数据用于研究目的。然而，这些数据可能包含敏感信息，如果暴露，可能导致严重的隐私侵犯。通过匿名化数据，研究人员仍然可以分析趋势和结果，而不会危害患者的机密性。这不仅保护了患者，还鼓励更多的人参与研究，因为他们知道自己的身份是安全的。同样，在社交媒体领域，用户经常分享他们的想法、经历和个人细节。分析用户数据以进行市场营销的公司必须确保对这些信息进行匿名化，以尊重用户隐私。如果公司未能做到这一点，他们将面临失去受众信任和潜在法律后果的风险。通过匿名化数据，这些公司可以获得有价值的见解，同时维护道德标准并保护用户身份。此外，匿名化数据还可以帮助减少身份盗窃和欺诈的风险。当个人信息如姓名、地址和社会安全号码存储在数据库中时，它们就成为黑客的主要目标。然而，如果组织实施有效的匿名化技术，即使发生数据泄露，被盗信息对网络犯罪分子也将毫无价值。这一保护措施显著降低了可能对数据被泄露的个人造成的潜在伤害。尽管有其好处，但匿名化数据并非没有挑战。一个主要问题是，如果该过程未正确执行，存在重新识别的风险。复杂的算法和数据分析技术有时可以逆转匿名化，允许恶意行为者拼凑信息并识别个人。因此，组织必须使用强大的方法，并不断更新其实践，以确保匿名化的有效性。总之，能够匿名化数据在保护隐私和保护个人方面发挥着关键作用，尤其是在我们日益互联的世界中。无论是在医疗保健、社交媒体还是其他处理个人信息的行业，匿名化都是保护身份的重要工具。随着技术的不断发展，我们的数据隐私方法也必须随之演变。通过优先考虑敏感信息的匿名化，我们可以为每个人创造一个更安全的环境，鼓励负责任地分享数据，同时最大限度地降低风险。最终，数据隐私的未来取决于我们有效匿名化个人信息和维护个人在数字环境中的信任的能力。