Unit 4 Big Data & Privacy

Unit 4 Big Data & Privacy

1. Frequency Analysis

   • How often a letter occurs in the English Language & compares it to the letters in the message.

2. Encryption

   • A process of encoding messages to keep them secret, so only "authorized" parties can read it.

3. Moore's Law

   • The observation that computing power roughly doubkes every two years

4. Big Data

   • A broad term for datasets so large or complex that traditional data processing applications are inadequate

5. Caeser's Cipher

   • A technique for encryption that shift the alphabet by some number of characters

6. Encryption Key

   • What you use to change from the original text

7. Decryption

   • A process that reverses encryption, taking a secret message & reproducing the original text.

8. Encryption Algorithm

   • Following a set of rules to encrypt the message

9. Computationally Hard

   • A "hard" problem for a computer is one in which it cannot arrive at a solution in a reasonable amount of time

10. Too Hard

    • Too long to crack with a certain amout of time

11. Symmetric Encryption

    • Secret has to be agreed on in private before

12. Public Key

    • A value that can be used to encrypt a message. However, only when combined with a mathematically-related privately, can the message be decrypted.

13. Security Protocol

    • Protects us on the web. Uses public encryption to protect data.

14. Asymmetric Encryption

    • A type of cryptographic based on algorithms that require two keys-one of which is secret (or private) & one of which is public (feely known to others)

15. Public Key Cryptography

    • Encrypting & Decrypting messages when the encryption is public but the keys are secret

16. Private Key

    • The complementary key to a public key that is used to decrypt a message

17. Modulo

    • The name of the mathematical operation. Modulo gives the remainder for dividing two numbers. Ex. 17 MOD 13 is 4