An encryption algorithm should be computationally secure, i.e., even by using parallel computers, the brute force attack would take a significantly large time to break it. It should also be secure against Know plaintext attacks, Known Ciphertext attacks and so on. In addition to this, the encryption algorithm must follow the Avalance effect.
If you only have plaintext and ciphertext pairs you must reconstruct the algorithm first. As all good, and even a considerable number of bad algorithms produce a ciphertext that is indistinguishable from random, this will be a difficult undertaking.
If you can influence the plaintext, look for chosen plaintext attacks.
When the algorithm is found and new, evaluate all attacks from the literature. and keep in mind that intelligence organisations may have some unpublished tricks in their sleeves.
There are several ways to evaluate an encryption algorithm, including the following:
Security: The most important consideration when evaluating an encryption algorithm is its security. This can be assessed by considering the strength of the algorithm, the level of protection it provides against different types of attacks, and its ability to resist attempts to break it.
Speed: Another important factor to consider when evaluating an encryption algorithm is its speed. This refers to the amount of time it takes to encrypt and decrypt data using the algorithm. Faster algorithms are generally more desirable, as they can process data more quickly and efficiently.
Ease of implementation: The ease of implementation is another important factor to consider when evaluating an encryption algorithm. This refers to how easy it is to use the algorithm in practice, including the complexity of the implementation and the availability of tools and libraries that support it.
Flexibility: The flexibility of an encryption algorithm is another factor to consider when evaluating it. This refers to the range of applications that the algorithm can be used for, as well as its ability to adapt to different types of data and scenarios.
Robustness: The robustness of an encryption algorithm is another factor to consider when evaluating it. This refers to the algorithm's ability to maintain its security and performance in the face of changes or attacks.
Overall, there are many factors to consider when evaluating an encryption algorithm, and the specific criteria used will depend on the specific context and requirements of the application.
In general, we analyze the complexity of communication and processing in cryptography algorithms: (Memory, energy consumption, Processing time, communication, etc). Asymmetrical cryptosystems in particular are not always size-preserving.
For RSA, its security is based on the proven theoretical complexity of factoring an integer that is the product of 2 "large" prime numbers, however classical implementations of modular exponentiation can be vulnerable to "timing" side channel attacks.
The output of the stream ciphers must be "Pseudorandom ", at least they must pass all the tests of the randomness batteries, such as the NIST etc.(Necessary but not sufficient condition)
You need to define two things: 1) What information security objectives do you need to satisfy with your cryptographic scheme and 2) What are the adversary models (capabilities of an attacker) that you assume you must face to achieve your security objectives.
Starting from the above, it is that you must begin your evaluation.
Encryption strength is often described in terms of the size of the keys used to perform the encryption: in general, longer keys provide stronger encryption. Key length is measured in bits.
here are several ways to evaluate an encryption algorithm, including:
Security analysis: This involves analyzing the algorithm's mathematical properties to determine its level of security and resistance to attacks.
Performance evaluation: This involves measuring the algorithm's speed, memory usage, and other performance metrics to determine its efficiency.
Interoperability testing: This involves testing the algorithm's compatibility with other encryption systems and standards to ensure it can be used in a variety of different contexts.
Resistance to side-channel attacks: This involves testing the algorithm's resistance to attacks that exploit information leaked through side channels, such as power consumption or electromagnetic radiation.
Implementations analysis: This involves analyzing the software or hardware implementation of the algorithm to ensure it is free of vulnerabilities or weaknesses.