Q: What is computationally equivalent?

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1. It is computationally easy for a party B to generate a pair(Public key KUb, Private key KRb) 2. It is computationally easy for a sender A, knowing the public key and the message to be encrypted , M, to generate the corresponding ciphertext: C=EKUb(M) 3. It is computationally easy for the receiver B to decrypt the resulting ciphertext using the private key to recover the original message : M=DKRb(C)=DKRb[EKUb(M)] 4. It is computationally infeasible for an opponent , knowing the public key,KUb,to determine the private key,KRb. 5. It is computationally infeasible for an opponent , knowing the public key,KUb, and a ciphertext, C, to recover the original message,M. 6. The encryption and decryption functions can be applied in either order: M=EKUb[DKRb(M)]=DKUb [EKRb(M)]

1. It is computationally easy for a party B to generate a pair(Public key KUb, Private key KRb) 2. It is computationally easy for a sender A, knowing the public key and the message to be encrypted , M, to generate the corresponding ciphertext: C=EKUb(M) 3. It is computationally easy for the receiver B to decrypt the resulting ciphertext using the private key to recover the original message : M=DKRb(C)=DKRb[EKUb(M)] 4. It is computationally infeasible for an opponent , knowing the public key,KUb,to determine the private key,KRb. 5. It is computationally infeasible for an opponent , knowing the public key,KUb, and a ciphertext, C, to recover the original message,M. 6. The encryption and decryption functions can be applied in either order: M=EKUb[DKRb(M)]=DKUb [EKRb(M)]

Solving computationally intensive problems that were beyond the capability of human computers to solve.

Fractals are generated from recursive mathematical equations, this is why you can zoom-in on them infinitely and they will continue to repeat themselves (this is also why they are so computationally intensive)

1. H can be applied to a block of data of any size. 2. H produces a fixed-length output. 3. H(x) is relatively easy to compute for any given x, making both hardware and software implementations practical. 4. For any given value h, it is computationally infeasible to find x such that H(x) = h. This is sometimes referred to in the literature as the one-way property. 5. For any given block x, it is computationally infeasible to find y ≠ x with H(y) = H(x). 6. It is computationally infeasible to find any pair (x, y) such that H(x) = H(y).

unconditional security no matter how much computer power or time is available, the cipher cannot be broken since the ciphertext provides insufficient information to uniquely determine the corresponding plaintext computational security given limited computing resources (eg time needed for calculations is greater than age of universe), the cipher cannot be broken

For some algorithms recursive functions are faster, and there are some problems that can only be solved through recursive means as iterative approaches are computationally infeasible.

Soft computing is a term applied to a field within computer science which is characterized by the use of inexact solutions to computationally hard tasks. Soft computing covers similar topics of computational intelligence, natural computing, and organic computing.

Soft computing is a term applied to a field within computer science which is characterized by the use of inexact solutions to computationally hard tasks. Soft computing covers similar topics of computational intelligence, natural computing, and organic computing.

The main disadvantage of a relational database is that it is slow and computationally intensive. Other disadvantages are:Extracting a meaningful information from the data takes a lot of time as the data is stored in multiple tables.The data complexity grows with the increase in the number of relations.

To be useful for a message authentication, the hash functions must have the following properties – • H can be applied to a block of data of any size • H produces a fixed-length output • H(x) is easy to compute for any given x, making both hardware and software implementations practical. • For any given code h, it is computationally infeasible to find x such that H(x) = h. A hash function with this property is referred to as one-way or pre-image resistant. • For any given block x, it is computationally infeasible to find y ≠ x with H(y) = H(x). A hash function with this property is referred to as second pre-image resistant. This is sometimes referred to as weak collision resistant. • It is computationally infeasible to find any pair (x, y) such that H(x) = H(y). A hash function with this property is referred to as collision resistant. This is sometimes referred to as strong collision resistant.

yes these are equivalent