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XDH assumption

XDH assumption 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 XDH assumption rather than just read about it. In short: The external Diffie–Hellman (XDH) assumption is a computational hardness assumption used in elliptic curve cryptography. The XDH assumption holds if there exist certain subgroups of elliptic curves which have useful properties for cryptography.

Key takeaways

  • XDH assumption 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 XDH assumption to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of XDH assumption from memory before moving on to harder problems.

Reference excerpt

The external Diffie–Hellman (XDH) assumption is a computational hardness assumption used in elliptic curve cryptography. The XDH assumption holds if there exist certain subgroups of elliptic curves which have useful properties for cryptography. Specifically, XDH implies the existence of two distinct groups ⟨ G 1 , G 2 ⟩ {\displaystyle \langle {\mathbb {G} }_{1},{\mathbb {G} }_{2}\rangle } with the following properties:

The discrete logarithm problem (DLP), the computational Diffie–Hellman problem (CDH), and the co-computational Diffie–Hellman problem are all intractable in G 1 {\displaystyle {\mathbb {G} }_{1}} and G 2 {\displaystyle {\mathbb {G} }_{2}} . There exists an efficiently computable bilinear map (pairing) e ( ⋅ , ⋅ ) : G 1 × G 2 → G T {\displaystyle e(\cdot ,\cdot ):{\mathbb {G} }_{1}\times {\mathbb {G} }_{2}\rightarrow {\mathbb {G} }_{T}} . The decisional Diffie–Hellman problem (DDH) is intractable in G 1 {\displaystyle {\mathbb {G} }_{1}} . The above formulation is referred to as asymmetric XDH. A stronger version of the assumption (symmetric XDH, or SXDH) holds if DDH is also intractable in G 2 {\displaystyle {\mathbb {G} }_{2}} . The XDH assumption is used in some pairing-based cryptographic protocols. In certain elliptic curve subgroups, the existence of an efficiently-computable bilinear map (pairing) can allow for practical solutions to the DDH problem. These groups, referred to as gap Diffie–Hellman (GDH) groups, facilitate a variety of novel cryptographic protocols, including tri-partite key exchange, identity based encryption, and secret handshakes (to name a few). However, the ease of computing DDH within a GDH group can also be an obstacle when constructing cryptosystems; for example, it is not possible to use DDH-based cryptosystems such as ElGamal within a GDH group. Because the DDH assumption holds within at least one of a pair of XDH groups, these groups can be used to construct pairing-based protocols which allow for ElGamal-style encryption and other novel cryptographic techniques. In practice, it is believed that the XDH assumption may hold in certain subgroups of MNT elliptic curves. This notion was first proposed by Scott (2002), and later by Boneh, Boyen and Shacham (2002) as a means to improve the efficiency of a signature scheme. The assumption was formally defined by Ballard, Green, de Medeiros and Monrose (2005), and full details of a proposed implementation were advanced in that work. Evidence for the validity of this assumption is the proof by Verheul (2001) and Galbraith and Rotger (2004) of the non-existence of distortion maps in two specific elliptic curve subgroups which possess an efficiently computable pairing. As pairings and distortion maps are currently the only known means to solve the DDH problem in elliptic curve groups, it is believed that the DDH assumption therefore holds in these subgroups, while pairings are still feasible between elements in distinct groups.

References Mike Scott. Authenticated ID-based exchange and remote log-in with simple token and PIN. E-print archive (2002/164), 2002. (pdf file) Dan Boneh, Xavier Boyen, Hovav Shacham. Short Group Signatures. CRYPTO 2004. (pdf file) Lucas Ballard, Matthew Green, Breno de Medeiros, Fabian Monrose. Correlation-Resistant Storage via Keyword-Searchable Encryption. E-print archive (2005/417), 2005. (pdf file) Steven D Galbraith, Victor Rotger. Easy Decision Diffie–Hellman Groups. LMS Journal of Computation and Mathematics, August 2004. ([1] Archived 2005-10-27 at the Wayback Machine) E.R. Verheul, Evidence that XTR is more secure than supersingular elliptic curve cryptosystems, in B. Pfitzmann (ed.) EUROCRYPT 2001, Springer LNCS 2045 (2001) 195–210. [2]

Worked examples

Example 1 — a first encounter with XDH assumption

Start with the simplest possible case. Write down what XDH assumption 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 XDH assumption 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 XDH assumption 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 XDH assumption

In research
XDH assumption 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 XDH assumption 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
XDH assumption is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computational hardness assumptions, Elliptic curve cryptography, Pairing-based cryptography, so understanding it makes those chapters shorter.
In everyday life
Look for XDH assumption 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 XDH assumption in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what XDH assumption 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 XDH assumption out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is XDH assumption in simple terms?

The external Diffie–Hellman (XDH) assumption is a computational hardness assumption used in elliptic curve cryptography. The XDH assumption holds if there exist certain subgroups of elliptic curves which have useful properties for cryptography.

Why does XDH assumption 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 XDH assumption?

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 XDH assumption.

Tags

  • Computational hardness assumptions
  • Elliptic curve cryptography
  • Pairing-based cryptography

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