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  1. Separate chaining: In this technique, a linked list is maintained at each slot in the hash table. When a collision occurs, the collided elements are stored in the linked list at that slot, allowing multiple elements to reside at the same position.

  2. Open addressing: In this technique, when a collision occurs, the algorithm probes for the next available slot within the hash table until an empty slot is found. This involves various strategies such as linear probing (moving linearly through the table) or quadratic probing (using a quadratic function to determine the next slot to check).

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What is hash collision?

Hash collision means....2 different keywords having the same hash code. Yes its as simple as that........


What are the two broad classes of collision resolution techniques explain?

The two broad classes of collision resolution techniques in hashing are open addressing and separate chaining. Open addressing involves storing all the key-value pairs directly in the hash table itself, handling collisions by probing for an open slot. Separate chaining involves storing collisions in separate data structures (like linked lists or binary trees) at the same index in the hash table.


Which of the following increases the collision resistance of a hash?

The collision resistance of a hash is proportional to the number of hash values that are stored, relative to the number of items that can be hashed, and it is proportional to the adequacy of the hash. The latter means that the hash should usually be of cryptographic quality.


What are the different types of collision resolution techniques?

Open addressing (closed hashing), The methods used include: Overflow block & Closed addressing (open hashing) The methods used include: Linked list, Binary tree..


What is double hashing in data structure?

if collision is occurred in hash function then we can solve this problem by using double hash function


Making two inputs result in the exact same cryptographic hash is called?

Collision Attack


What is collision number?

Collision number refers to the minimum number of comparisons needed in a data structure to resolve all potential collisions that may occur while inserting elements into a hash table or hash map. It helps determine the efficiency and performance of handling collisions in hashing algorithms.


What are the differences between Hash algorithms and MD5 and SHA-1?

Hash algorithms are functions that take an input and produce a fixed-size string of characters, which is typically a digest that represents the input data. MD5 and SHA-1 are specific types of cryptographic hash algorithms; however, they differ in terms of security and collision resistance. MD5 produces a 128-bit hash value and is considered insecure due to vulnerabilities that allow for collision attacks. SHA-1, while more secure than MD5 with a 160-bit hash, has also been found to be susceptible to collision attacks, leading to its decline in usage in favor of more secure algorithms like SHA-256.


How many bits are used in these algorithms hash values?

The number of bits used in hash values varies by algorithm. For example, the MD5 algorithm produces a 128-bit hash, SHA-1 generates a 160-bit hash, and SHA-256 outputs a 256-bit hash. Each algorithm is designed to provide a different level of security and collision resistance, with longer hashes generally offering greater security.


What is linear probing in datastrcutures?

When a collision occurs in an open addressing hash table, continuing forward until finding an empty slot is called liner probing.


What is hashing Explain any two hash functions?

Hashing is a process that transforms input data of any size into a fixed-size string of characters, typically a sequence of numbers and letters, which serves as a unique identifier for the original data. Two common hash functions are MD5 (Message Digest Algorithm 5) and SHA-256 (Secure Hash Algorithm 256-bit). MD5 produces a 128-bit hash value, commonly used for checksums and data integrity verification, but is considered weak against collision attacks. SHA-256, part of the SHA-2 family, generates a 256-bit hash and is widely used in security applications, including digital signatures and blockchain technology, due to its higher security level.


Can you explain how to securely hash data for encryption purposes?

To securely hash data for encryption, you can use algorithms like SHA-256 or bcrypt. These algorithms take the input data and produce a fixed-length hash value. This hash value can be used as a key for encryption. It is important to use a strong and secure hashing algorithm to protect the data from being easily decrypted.