Hashing
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노트
- No matter how many times you use the hash algorithm, it will always give you the same result.[1]
- This hash algorithm used to be widely used and is still one of the most widely known hashing algorithms.[1]
- Hash Algorithm is a cryptographic hash function designed by the United States’ NSA.[1]
- So the hash algorithms and hash techniques are widely used in the industry since Luhn invention in 1953.[2]
- A set containing the names of the hash algorithms guaranteed to be supported by this module on all platforms.[3]
- A set containing the names of the hash algorithms that are available in the running Python interpreter.[3]
- Using a chosen hash algorithm, data is compressed to a fixed size.[4]
- If we take the sentence “Donkeys live a long time” and apply the joaat hash algorithm to it, we will get 6e04f289.[4]
- A good hash algorithm should be complex enough such that it does not produce the same hash value from two different inputs.[5]
- SHA is a family of cryptographic hash algorithms that have been published by NIST or the National Institute of Standards and Technology.[6]
- hash algorithms are used to convert your public key to a public address.[6]
- For each hash algorithm, test images are classified according to the generated hash values.[7]
- The hybrid image data set is used to evaluate the performance of different hash algorithms for detecting tampered images.[7]
- This information ensures that the proposed hash algorithm has good robustness and discrimination.[7]
- Lastly, in order to improve the robustness of the hash algorithm, the SIFT algorithm is used to extract keypoints.[7]
소스
- ↑ 1.0 1.1 1.2 Hashing Algorithms
- ↑ Hashing Technique and its importance.
- ↑ 3.0 3.1 hashlib — Secure hashes and message digests — Python 3.9.1 documentation
- ↑ 4.0 4.1 Decoded: Examples of How Hashing Algorithms Work
- ↑ What is Hashing? Benefits, types and more
- ↑ 6.0 6.1 What is Hashing - A Complete Guide to Hashing
- ↑ 7.0 7.1 7.2 7.3 SSL: A Novel Image Hashing Technique Using SIFT Keypoints with Saliency Detection and LBP Feature Extraction against Combinatorial Manipulations
메타데이터
위키데이터
- ID : Q11079271
Spacy 패턴 목록
- [{'LEMMA': 'hash'}]