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RSA problem

RSA problem is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand RSA problem rather than just read about it. In short: In cryptography, the RSA problem summarizes the task of performing an RSA private-key operation given only the public key. The RSA algorithm raises a message to an exponent, modulo a composite number N whose factors are not known.

Key takeaways

  • RSA problem belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect RSA problem to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of RSA problem from memory before moving on to harder problems.

Reference excerpt

In cryptography, the RSA problem summarizes the task of performing an RSA private-key operation given only the public key. The RSA algorithm raises a message to an exponent, modulo a composite number N whose factors are not known. Thus, the task can be neatly described as finding the eth roots of an arbitrary number, modulo N. For large RSA key sizes (in excess of 1024 bits), no efficient method for solving this problem is known; if an efficient method is ever developed, it would threaten the current or eventual security of RSA-based cryptosystems—both for public-key encryption and digital signatures. More specifically, the RSA problem is to efficiently compute P given an RSA public key (N, e) and a ciphertext C ≡ P e (mod N). The structure of the RSA public key requires that N be a large semiprime (i.e., a product of two large prime numbers), that 2 < e < N, that e be coprime to φ(N), and that 0 ≤ C < N. C is chosen randomly within that range; to specify the problem with complete precision, one must also specify how N and e are generated, which will depend on the precise means of RSA random keypair generation in use. The most efficient method known to solve the RSA problem is by first factoring the modulus N, a task believed to be impractical if N is sufficiently large (see integer factorization). The RSA key setup routine already turns the public exponent e, with this prime factorization, into the private exponent d, and so exactly the same algorithm allows anyone who factors N to obtain the private key. Any C can then be decrypted with the private key. Just as there are no proofs that integer factorization is computationally difficult, there are also no proofs that the RSA problem is similarly difficult. By the above method, the RSA problem is at least as easy as factoring, but it might well be easier. Indeed, there is strong evidence pointing to this conclusion: that a method to break the RSA method cannot be converted necessarily into a method for factoring large semiprimes. This is perhaps easiest to see by the sheer overkill of the factoring approach: the RSA problem asks us to decrypt one arbitrary ciphertext, whereas the factoring method reveals the private key: thus decrypting all arbitrary ciphertexts, and it also allows one to perform arbitrary RSA private-key encryptions. Along these same lines, finding the decryption exponent d indeed is computationally equivalent to factoring N, even though the RSA problem does not ask for d. In addition to the RSA problem, RSA also has a particular mathematical structure that can potentially be exploited without solving the RSA problem directly. To achieve the full strength of the RSA problem, an RSA-based cryptosystem must also use a padding scheme like OAEP, to protect against such structural problems in RSA.

See also Rabin signature, whose equivalency to factoring is known RSA Factoring Challenge Strong RSA assumption

References

Further reading Breaking RSA may be as difficult as factoring, D. Brown, 2005. This unrefereed preprint purports that solving the RSA problem using a Straight line program is as difficult as factoring provided e has a small factor. Breaking RSA Generically is Equivalent to Factoring, D. Aggarwal and U. Maurer, 2008. This Eurocrypt 2009 paper (link is to a preprint version) proves that solving the RSA problem using a generic ring algorithm is as difficult as factoring. When e-th Roots Become Easier Than Factoring, Antoine Joux, David Naccache and Emmanuel Thomé, 2007. This Asiacrypt 2007 paper (link is to a preprint version) proves that solving the RSA problem using an oracle to some certain other special cases of the RSA problem is easier than factoring.

Worked examples

Example 1 — a first encounter with RSA problem

Start with the simplest possible case. Write down what RSA problem claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to RSA problem before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about RSA problem ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of RSA problem

In research
RSA problem appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses RSA problem in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
RSA problem is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computational hardness assumptions, Public-key cryptography, so understanding it makes those chapters shorter.
In everyday life
Look for RSA problem outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study RSA problem in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what RSA problem means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain RSA problem out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is RSA problem in simple terms?

In cryptography, the RSA problem summarizes the task of performing an RSA private-key operation given only the public key. The RSA algorithm raises a message to an exponent, modulo a composite number N whose factors are not known.

Why does RSA problem matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study RSA problem?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on RSA problem.

Tags

  • Computational hardness assumptions
  • Public-key cryptography

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