CS204 GDB Solution Spring 2022

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CS204 GDB Solution Spring 2022

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CS204 GDB Solution Spring 2022 File

 CS204  GDB Solution Spring 2022

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In your opinion, which encryption technique best suits the given scenario….?

In my opinion, there are both encryption techniques suits in the given scenario but Symmetric Encryption Technique is best in this scenario. Symmetric Encryption Technique is a type of encryption where only one key (a secret key) is used to both encrypt and decrypt electronic data. The entities communicating via symmetric encryption must exchange the key so that it can be used in the decryption process.

Reason No #1

While symmetric encryption is an older method of encryption, it is faster and more efficient than asymmetric encryption, which takes a toll on networks due to performance issues with data size and heavy CPU use. Due to the better performance and faster speed of symmetric encryption (compared to asymmetric), symmetric cryptography is typically used for bulk encryption / encrypting large amounts of data, e.g. for database encryption. In the case of a database, the secret key might only be available to the database itself to encrypt or decrypt. Industry standard symmetric encryption is also less vulnerable to advances in quantum computing compared to the current standards for asymmetric algorithms (at the time of writing).

Reason No #2

Symmetric encryption are better used for different situations. Symmetric encryption, with its use of a single key, is better used for data-at-rest. Data stored in databases needs to be encrypted to ensure it is not compromised or stolen. This data does not require two keys, just the one provided by symmetric encryption, as it only needs to be safe until it

needs to be accessed in the future. Encrypting sensitive customer data in banks is extremely important, as is decrypting that information as quickly as possible. For this reason, symmetric encryption is the preferred method of encryption in banks, as one key encryption is much swifter than two key encryption.

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