Skip to main content

A Beginner’s Guide to Encryption Algorithms

Photo by Markus Spiske on Unsplash


In today’s world, securing data is a top priority, and encryption algorithms play a crucial role in this process. Encryption is essentially the method of converting data into a form that unauthorized parties cannot understand. If you’re just starting out, this guide will introduce you to some of the most popular encryption algorithms, where and when to use them, and provide Kotlin code examples for each.

What are Encryption Algorithms?

Encryption algorithms are mathematical formulas used to transform readable data (plaintext) into an unreadable format (ciphertext) and vice versa (decryption). The goal is to ensure that sensitive information remains confidential and secure during transmission or storage.

Where, When, and Why to Use Encryption Algorithms

Where to Use:

  • Data Transmission: When data is transmitted over a network (e.g., sending emails or communicating via messaging apps), encryption protects the data from being intercepted and read by unauthorized users.
  • Data Storage: Encryption is also used to protect data stored on devices, servers, or cloud services.
  • User Authentication: Passwords, tokens, and other authentication mechanisms rely on encryption to prevent unauthorized access.

When to Use:

  • Sensitive Data: Any time you’re handling personal, financial, medical, or confidential business data.
  • Regulated Industries: Encryption is often required by law in industries like healthcare, finance, and e-commerce to comply with privacy and data protection regulations.

Why Use Encryption:

  • Confidentiality: Encryption ensures that only authorized individuals can access the data.
  • Integrity: It prevents unauthorized users from tampering with data.
  • Authentication: Encryption helps verify the identity of users and systems.

Common Types of Encryption Algorithms

  1. Symmetric Encryption: Same key is used for both encryption and decryption.
  2. Asymmetric Encryption: Uses a pair of keys — one for encryption (public key) and one for decryption (private key).
  3. Hash Functions: Converts data into a fixed-size hash value; not meant for decryption.

Asymmetric Encryption Algorithms

Asymmetric encryption is slower but more secure for certain tasks like key exchange, digital signatures, and secure communications. Below is a list of some well-known asymmetric-key algorithms:

  • Diffie–Hellman key exchange protocol: Primarily used for securely exchanging cryptographic keys over a public channel.
  • DSS (Digital Signature Standard): Incorporates the Digital Signature Algorithm (DSA) for digital signatures.
  • ElGamal: Used in encryption and digital signatures, based on the Diffie–Hellman protocol.
  • Elliptic-curve cryptography (ECC): Used for more efficient cryptographic keys in smaller sizes, commonly in mobile devices.
  • Elliptic Curve Digital Signature Algorithm (ECDSA): A variant of the DSA using elliptic curves.
  • Elliptic-curve Diffie–Hellman (ECDH): An efficient key exchange mechanism based on elliptic curve cryptography.
  • Ed25519 and Ed448 (EdDSA): High-performance algorithms for digital signatures.
  • X25519 and X448 (ECDH/EdDH): High-efficiency algorithms for key exchange.
  • Password-authenticated key agreement techniques: Methods like PAKE ensure that only users with the correct password can establish secure communication.
  • Paillier cryptosystem: A probabilistic asymmetric algorithm, typically used in secure voting and privacy-preserving applications.
  • RSA encryption algorithm (PKCS#1): One of the most popular and well-known asymmetric encryption algorithms.
  • Cramer–Shoup cryptosystem: A practical cryptosystem that provides security against adaptive chosen ciphertext attacks.
  • YAK authenticated key agreement protocol: A modern, authenticated key agreement method.

Symmetric Encryption Algorithms

Symmetric encryption is fast and is typically used for encrypting large volumes of data. Below is a list of some well-known symmetric-key algorithms:

  • AES (Rijndael): A widely-used and highly secure encryption algorithm for various applications, including data storage and transmission.
  • Twofish: Known for its flexibility and performance, and a finalist in the AES competition.
  • Serpent: Another AES finalist, designed for strong security.
  • Camellia: Suitable for both software and hardware implementations.
  • Salsa20 and ChaCha20: Fast and secure stream ciphers, often used in applications like VPNs and secure messaging.
  • Blowfish: A fast, general-purpose encryption algorithm.
  • CAST5: Used in some standards like PGP.
  • Kuznyechik: A Russian block cipher used for data encryption.
  • RC4: A stream cipher that was widely used but has been deprecated due to vulnerabilities.
  • DES (Data Encryption Standard): One of the earliest encryption algorithms, now considered insecure.
  • 3DES (Triple DES): A more secure version of DES but still considered outdated.
  • Skipjack: Used in government applications.
  • Safer: A block cipher that has been used in various encryption standards.
  • IDEA (International Data Encryption Algorithm): Known for its use in PGP.

Hash Functions

Hash functions are a different category of cryptographic algorithms. They are primarily used for verifying the integrity of data, generating digital signatures, and password hashing. Below is a list of some well-known hash algorithms:

Popular Hash Algorithms:

  • BLAKE2bBLAKE2sBLAKE3: Modern and efficient hash functions, faster than MD5 and SHA.
  • GOST: A Soviet Union standard for cryptographic hashing.
  • HAVAL: A variable-length, hash-function used in security protocols.
  • MD2MD4MD5: Older, now insecure hash functions that were once widely used.
  • PANAMARadioGatún: Cryptographic primitives used for hashing and stream ciphers.
  • RIPEMD: A family of cryptographic hash functions including RIPEMD-128RIPEMD-160RIPEMD-256, and RIPEMD-320.
  • SHA-0SHA-1: Early versions of the Secure Hash Algorithm, now considered insecure.
  • SHA-2: A set of more secure hash algorithms, including SHA-224SHA-256SHA-384, and SHA-512.
  • SHA-3: The latest member of the Secure Hash Algorithm family, including variants like SHA3–224SHA3–256SHA3–384, and SHA3–512.
  • Tiger(2)-192/160/128: Designed for fast performance on 64-bit machines.
  • Whirlpool: A cryptographic hash function optimized for security and performance.

Conclusion

Encryption algorithms form the backbone of modern security, ensuring that sensitive data remains protected during transmission and storage. Whether you’re dealing with personal information, financial records, or confidential business data, understanding the different types of encryption and how to apply them is essential.

Symmetric encryption is fast and suitable for securing large volumes of data, while asymmetric encryption provides enhanced security for key exchanges and digital signatures. Hash functions, though not used for encryption, play a critical role in maintaining data integrity and ensuring authenticity.

By applying the right encryption algorithm based on your needs, you can effectively safeguard your data against unauthorized access, tampering, and breaches. As technology continues to evolve, staying informed about the latest cryptographic developments will help you remain ahead in the fight to keep your data secure.

Comments

Popular posts from this blog

Understanding Number Systems: Decimal, Binary, and Hexadecimal

In everyday life, we use numbers all the time, whether for counting, telling time, or handling money. The number system we’re most familiar with is the   decimal system , but computers use other systems, such as   binary   and   hexadecimal . Let’s break down these number systems to understand how they work. What is a Number System? A number system is a way of representing numbers using a set of symbols and rules. The most common number systems are: Decimal (Base 10) Binary (Base 2) Hexadecimal (Base 16) Each system has a different “base” that tells us how many unique digits (symbols) are used to represent numbers. Decimal Number System (Base 10) This is the system we use daily. It has  10 digits , ranging from  0 to 9 . Example: The number  529  in decimal means: 5 × 1⁰² + 2 × 1⁰¹ + 9 × 1⁰⁰ =  500 + 20 + 9 = 529 Each position represents a power of 10, starting from the rightmost digit. Why Base 10? Decimal is base 10 because it has 10 digits...

How to Monetize Your API as an Individual Developer While Hosting on Your Own Server?

In the API economy, cloud services like AWS, Google Cloud, and Azure offer many conveniences, such as scaling and infrastructure management. However, some developers prefer more control and autonomy, opting to host their APIs on personal servers. Whether for cost efficiency, data privacy, or customization, hosting your own API comes with both advantages and challenges. But, even without cloud platforms, there are effective ways to monetize your API. This guide will explore how individual developers can successfully monetize their APIs while hosting them on their own servers. Why Host Your API on Your Own Server? Hosting your own API gives you full control over the infrastructure and potentially lower long-term costs. Here’s why some developers choose this approach: Cost Control : Instead of paying ongoing cloud fees, you may opt for a one-time or lower-cost hosting solution that fits your budget and resource needs. Data Ownership : You have full control over data, which is critical if ...

The Weight of Responsibility: A Developer’s Journey to Balance Passion and Reality

For the past several years, Eddie has been on a steady climb in his career as a developer, but recently, he found himself at a crossroads — caught between the weight of his responsibilities and the desire to pursue his true passions. His journey began with a three-month internship as a web developer, which led to nearly four years in an application developer role. After that, he spent almost a year as a systems associate, managing tasks across systems analysis, quality assurance, and business analysis. Eventually, he returned to full-time software development for another two years before transitioning into more complex roles. For over a year, he worked as a multi-role software developer and database administrator before stepping into his current position as a senior software developer, database administrator, and cloud administrator — occasionally handling security tasks as well. Now, with over 8 years of professional experience, he also leads a small team of developers, which has been...

The Hidden Costs of Overdesign and Bad Practices in API Systems

In software development, simplicity and clarity are often sacrificed in favor of overly complex solutions. While it can be tempting to add more features and intricate designs to ensure robustness, overdesign and poor practices can have significant consequences. They frustrate developers, lead to inefficiencies, increase costs, and put unnecessary strain on system resources.  A recent example involving a team that has faced challenges with complexity highlights the pitfalls of such an approach. Overdesign: The Problem of Too Much Complexity Overdesign occurs when systems are built with more complexity than necessary. This might manifest in bloated APIs, convoluted data flows, or excessive checks and processes that don’t add substantial value. The goal is often to anticipate future problems, but this approach typically results in cumbersome systems that are difficult to maintain and scale. In one case, a company found itself paying a hefty price just to host two API services and a po...

Selenium for Beginners: What, Where, When, and Why to Use It in Automated Testing

In today’s software development landscape, automated testing has become essential for delivering robust applications efficiently. Among various automated testing tools,   Selenium   stands out as one of the most widely used and beginner-friendly options. As you embark on your journey into automated testing, it’s crucial to understand the   what, where, when, and why   of using Selenium. In this guide we will run through these essentials and help you decide if Selenium is the right tool for you. What is Selenium? Selenium  is an open-source framework used primarily for automating web browsers. It enables developers and testers to write scripts that interact with websites, simulating actions like clicking buttons, filling out forms, and navigating pages, which allows for comprehensive automated testing. Selenium supports multiple programming languages, including Python, Java, C#, and JavaScript, making it flexible for teams with different coding preferences. Key C...