Encryption, Encoding and Hashing Explained

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Encoding vs Encryption vs Hashing

What is Encoding?

Encoding is a process of transforming the data into different parameters to enhance its compatibility, usefulness, and to transmit it through various systems and applications.

Therefore, the main purpose of encoding is not security for data but rather compatibility that makes data readable and intelligible to as many computer systems as possible.

Typically, encoding schemes are standard and are understood by most systems, hence enabling one system to transfer data to another without interference.

Other primitive methods of encoding include Base64, ASCII, and Unicode. For instance, Base64 is widely used for converting binary data, namely files or images, into ASCII text for secure transfer through textual protocols like e-mail or HTTP.

How does Encoding Work?

Encoding is that it taking a specific algorithm or mapping scheme to undergo transformation from the original data format into another format.

For example, in Base64 encoding, a three-byte block of binary data is first divided into four six-bit segments, each of which is translated to a Base64 character.

This process takes the data size up by about 33 percent; however, it makes it possible to transmit encoded data securely through text-based protocols that are notorious for handling binary data.

The decoding process performs the exact opposite; it helps to decode and transform the encoded data into its optimum form.

Both of these transformations occur bidirectionally, especially when it is necessary to maintain data validity in the process of its transfer and storage.

What is Encryption?

Encryption is the conversion from plain text to coded form to enhance the security of message transmission.

The primary purpose of encryption is to maintain the privacy of the data, thereby minimizing the ability of any unauthorized person to read it.

Encryption is popular in different sectors; for example, in internet communication to protect data transmitted through the web, in databases to protect data stored in them, and in storage devices to protect files stored in them.

Also Read: Tokenization vs. Encryption: Similarities & Differences

Some of the popular encryption techniques are: AES also known as Advanced Encryption Standard, because of its high level of security combined with its effectiveness. RSA is commonly used for key exchange and digital signatures.

How Encryption Works?

Encryption involves preparing the plaintext data and applying an algorithm to it with the help of a key called the encryption key to produce the ciphertext.

There are two main types of encryption algorithms: These strategies include symmetric and asymmetric ones. Notice that in symmetric encryption, the same key is used for encoding and decoding an original message.

This implies that the secret key must be communicated between the sender and the receiver of the message securely before transmitting the actual message.

Some examples of symmetric encryption include the Advanced Encryption Standard AES as well as the Data Encryption Standard DES.

Also Read: What Is Public Key Encryption? Public vs. Private Key Encryption

Asymmetric encryption, on the other hand, uses a pair of keys: One key that is made available to the public for encrypting the data, and the other is a key that is kept secure in the sender’s system for decrypting the data.

This method lacks the need for a shared secret key, as it is mostly applied in secure protocols such as SSL/TLS. RSA is a widely accepted asymmetric encryption algorithm.

What is Hashing?

Hashing involves mapping data in a block to a string of characters with an equal string length that appears as random characters.

The primary use of hashing is to derive a value that would represent the set of data in case the data is required to be checked for integrity, signed digitally, or stored as passwords.

Cryptographic hash functions like Hash, SHA-256, and MD5 take an input often referred to as a ‘message’, and give a fixed-size string known as the hash value or hash code.

Same input always yields the same hash value, but with even the slightest change in the input, it produces a vastly different hash, known as the avalanche effect.

How does Hashing Work?

Hashing is done by inputting data to a hash function that maps data through a set of operations, resulting in a hash. The above hash value is data input specific; it also has a constant size per data regardless of the size of the raw data input.

In the case of hash functions, they are intended to be a one-way mapping, where it is very difficult to retrieve the original data from the hash value.

Also Read: Hashing vs Encryption – Know the Difference

This property makes hashing ideal for checking data integrity and password storage, where the data itself is not kept, but only the hashed value.

For Instance, if a user inputs a password, the system will encrypt the password and store the hash of the password. The password is also encrypted in plain text on the screen and compared to the encrypted stored password to authenticate the user.

Encoding vs Encryption vs Hashing Difference

AspectEncodingEncryptionHashing
PurposeData transformation for usabilityData protection and confidentialityData integrity verification
ProcessConverts data into another formatConverts plaintext to ciphertextConverts data to a fixed-length hash
ReversibilityReversibleReversible with KeyIrreversible
Use CaseData transmissionSecure communicationPassword storage, data integrity checks
Algorithm ExamplesBase64, ASCIIAES, RSASHA-256, MD5
OutputHuman-readable formatCiphertext (non-readable)Fixed-length hash value
Key RequirementNoYes (encryption and decryption keys)No
SpeedFastRelatively slowerFast
Security LevelLowHighHigh for strong hash functions
Common ApplicationsData encoding for web, file formatsSecure communication, data storagePassword hashing, data integrity checks
Error Detection/CorrectionSometimes used for this purposeNot typically used for thisNot used for error correction
Data Size IncreaseOften increases data sizeTypically increases data sizeResults in fixed-size output
Example Use in WebURL encoding, HTML encodingHTTPSPassword storage, file integrity checks
VulnerabilitySusceptible to modificationSusceptible to brute force, key theftSusceptible to collision attacks

Conclusion

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Janki Mehta

Janki Mehta

Janki Mehta is a passionate Cyber-Security Enthusiast who keenly monitors the latest developments in the Web/Cyber Security industry. She puts her knowledge into practice and helps web users by arming them with the necessary security measures to stay safe in the digital world.