Approximately every 39 seconds, a cyberattack occurs, and over 800,000 individuals become victims annually. Encrypting data can decrease these numbers.
Encryption converts plain text or data into a scrambled format that can only be deciphered with the correct decryption key. It protects sensitive information from unauthorized access, interception, and tampering. Encryption safeguards online transactions, secures communications over networks, protects stored data from breaches, and preserves the confidentiality of personal and corporate information.
Encryption is the process of converting plain text or data into a coded format (ciphertext) to prevent unauthorized access. Only authorized parties with the correct decryption key can convert the ciphertext back into readable plain text.
Encryption uses algorithms to transform data. These algorithms require keys to encrypt and decrypt the data. Common encryption algorithms include Advanced Encryption Standard (AES), Rivest-Shamir-Adleman (RSA), and Data Encryption Standard (DES).
Symmetric encryption: Uses the same key for both encryption and decryption. It's faster but requires secure key distribution.
Asymmetric encryption: Uses a pair of keys (public and private). The public key encrypts data, and the private key decrypts it. This method is more secure for key distribution.
Symmetric encryption uses a single key for both encryption and decryption, making it faster but requiring secure key distribution. Asymmetric encryption uses a pair of keys (public and private) where the public key encrypts data and the private key decrypts it. Asymmetric encryption is more secure for key exchange but slower than symmetric encryption.
See also: HIPAA Compliant Email: The Definitive Guide
Encryption strength refers to the robustness of the encryption algorithm, often measured by key size (e.g., 128-bit, 256-bit). Larger key sizes generally mean stronger encryption, making it more resistant to brute-force attacks.
While strong encryption is very difficult to break, it is not impossible. Theoretical vulnerabilities, weaknesses in implementation, or advances in computing (e.g., quantum computing) could potentially break encryption. However, modern encryption methods are considered highly secure for most practical purposes.
Encryption can introduce some computational overhead, especially with strong encryption methods and large volumes of data. However, modern processors and optimized encryption algorithms minimize these impacts, making encryption feasible for most applications without significant performance degradation.