hashing
简明释义
v. 将……做成酱；切碎（肉或菜）（hash 的现在分词）
英英释义
单词用法
散列函数；哈希函数 | |
[计]杂凑表 |
同义词
| 加密 | Hashing is often used in password storage to enhance security. | 哈希通常用于密码存储以增强安全性。 |
反义词
例句
1.Integrity is provided by hashing the messages.
通过将消息进行哈希处理提供完整性。
2.At all points in between, the message is protected, either for integrity (using hashing) or for privacy (using encryption).
在消息生成和消息使用之间的所有时点上，消息都受到保护，不管是为了完整性(使用散列表)还是为了私密性(使用加密)。
3.The type attribute indicates the hash algorithm, such as Message-Digest algorithm 5 (MD5) or Secure Hashing algorithm (SHA-1).
类型属性指出了hash算法，例如消息摘要算法5 (MD5)或安全哈希算法(SHA - 1)。
4.You can see how much Shiro simplifies hashing and encoding, saving you a bit of sanity in the process.
你可以看到Shiro对哈希和编码简化了不少，挽救了你处理在这类问题上所消耗的脑细胞。
5.In addition to the standard hashing relationship, there is now a linked list that traverses through the collection.
除标准的散列关系之外，现在还有一个可遍历整个集合的链表。
6.No defined hashing operations.
无定义的散列操作。
7.The House and Senate are to begin soon hashing out an agreement for sanctions legislation.
参众两院很快将通过充分讨论就制裁立法达成一项协议。
8.With combination of different key lengths and different hashing algorithms, IBM NAS provides encryption types as shown in Table 1.
通过组合使用不同的密钥长度和散列算法，IBMNAS提供表1所示的加密类型。
9.Select Encryption algorithm and hashing algorithm you want to use in your IPSec tunnels to encrypt the data.
选择在IPSec隧道中加密数据所用的加密算法和散列算法。
10.In blockchain technology, hashing 哈希处理 is used to link blocks securely.
在区块链技术中，hashing 哈希处理用于安全地链接区块。
11.A good hashing 哈希处理 algorithm can significantly improve data retrieval speeds.
一个好的hashing 哈希处理算法可以显著提高数据检索速度。
12.The process of hashing 哈希处理 data ensures that sensitive information is stored securely.
对数据进行hashing 哈希处理的过程确保敏感信息安全存储。
13.When you create a password, hashing 哈希处理 it makes it harder for attackers to retrieve the original password.
当你创建一个密码时，hashing 哈希处理使攻击者更难恢复原始密码。
14.Many databases use hashing 哈希处理 to quickly locate records.
许多数据库使用hashing 哈希处理快速定位记录。
作文
In the world of computer science and data management, the concept of hashing plays a crucial role in ensuring data integrity and efficiency. Hashing, or 哈希, refers to the process of converting input data of any size into a fixed-size string of text, usually for the purpose of indexing and retrieval. This transformation is achieved through a mathematical algorithm that processes the input data and generates a unique output, known as a hash value or hash code. The significance of hashing lies in its ability to provide quick access to data and enhance security measures in various applications.One of the primary uses of hashing is in data structures such as hash tables. A hash table uses a hash function to compute an index into an array of buckets or slots, from which the desired value can be found. This allows for fast data retrieval, as the average time complexity for searching in a hash table is O(1), compared to O(n) for linear search methods. By utilizing hashing, programmers can create efficient algorithms that manage large datasets without compromising performance.Moreover, hashing is essential in the realm of cybersecurity. When storing passwords, for example, it is not safe to keep them in plain text. Instead, systems employ hashing algorithms to convert passwords into hash values. When a user attempts to log in, the system hashes the entered password and compares it to the stored hash value. This way, even if a database is compromised, the actual passwords remain secure, as they are never stored directly.Another important application of hashing is in digital signatures and data verification. In this context, hashing is used to create a unique representation of a document or file. When a file is sent over the internet, its hash value can be calculated and sent along with it. The recipient can then recalculate the hash value of the received file and compare it to the original hash. If the two hash values match, it confirms that the file has not been altered during transmission, thus ensuring data integrity.However, hashing is not without its challenges. One potential issue is the occurrence of hash collisions, where two different inputs produce the same hash value. This can lead to complications in data retrieval and security vulnerabilities. To mitigate this risk, developers must choose robust hashing algorithms that minimize the likelihood of collisions and ensure that the hash values are uniformly distributed.In conclusion, hashing is a fundamental concept in computer science that serves multiple purposes, from enhancing data retrieval speeds to securing sensitive information. Its applications span across various fields, including data management, cybersecurity, and digital communication. Understanding hashing and its implications is essential for anyone involved in programming or data handling, as it lays the groundwork for developing efficient and secure systems. As technology continues to evolve, the importance of hashing will only grow, making it a vital area of study for future generations of computer scientists and engineers.
在计算机科学和数据管理的世界中，hashing（哈希）这个概念在确保数据完整性和效率方面起着至关重要的作用。Hashing是指将任何大小的输入数据转换为固定大小的文本字符串的过程，通常用于索引和检索。这个转换是通过一个数学算法实现的，该算法处理输入数据并生成一个唯一的输出，称为哈希值或哈希码。Hashing的重要性在于它能够提供快速的数据访问，并增强各种应用中的安全措施。Hashing的主要用途之一是在哈希表等数据结构中。哈希表使用哈希函数来计算数组中桶或插槽的索引，从中可以找到所需的值。这允许快速的数据检索，因为在哈希表中搜索的平均时间复杂度为O(1)，而线性搜索方法为O(n)。通过利用hashing，程序员可以创建高效的算法，在不妨碍性能的情况下管理大型数据集。此外，hashing在网络安全领域至关重要。例如，在存储密码时，直接以明文形式保存是不安全的。相反，系统采用hashing算法将密码转换为哈希值。当用户尝试登录时，系统会对输入的密码进行hashing处理，并将其与存储的哈希值进行比较。这样，即使数据库被破坏，实际密码也保持安全，因为它们从未直接存储。Hashing的另一个重要应用是在数字签名和数据验证中。在这种情况下，hashing用于创建文档或文件的唯一表示。当文件通过互联网发送时，可以计算其哈希值并一同发送。接收方可以重新计算接收到的文件的哈希值并与原始哈希进行比较。如果两个哈希值匹配，则确认文件在传输过程中没有被更改，从而确保数据完整性。然而，hashing并非没有挑战。一个潜在的问题是哈希冲突的发生，即两个不同的输入产生相同的哈希值。这可能导致数据检索中的复杂情况和安全漏洞。为了减轻这种风险，开发人员必须选择强大的hashing算法，以最小化冲突的可能性并确保哈希值的均匀分布。总之，hashing是计算机科学中的一个基本概念，具有多种用途，从提高数据检索速度到保护敏感信息。它的应用跨越多个领域，包括数据管理、网络安全和数字通信。理解hashing及其影响对于任何参与编程或数据处理的人来说都是必不可少的，因为它为开发高效和安全的系统奠定了基础。随着技术的不断发展，hashing的重要性只会增加，使其成为未来计算机科学家和工程师学习的关键领域。
