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Integrated Encryption Scheme

Integrated Encryption Scheme 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 Integrated Encryption Scheme rather than just read about it. In short: The Integrated Encryption Scheme (IES) is a hybrid encryption scheme which provides semantic security against an adversary who is able to use chosen-plaintext or chosen-ciphertext attacks. The security of the scheme is based on the computational Diffie–Hellman problem.

Key takeaways

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

Reference excerpt

The Integrated Encryption Scheme (IES) is a hybrid encryption scheme which provides semantic security against an adversary who is able to use chosen-plaintext or chosen-ciphertext attacks. The security of the scheme is based on the computational Diffie–Hellman problem. Two variants of IES are specified: Discrete Logarithm Integrated Encryption Scheme (DLIES) and Elliptic Curve Integrated Encryption Scheme (ECIES), which is also known as the Elliptic Curve Augmented Encryption Scheme or simply the Elliptic Curve Encryption Scheme. These two variants are identical up to the change of an underlying group.

Informal description of DLIES As a brief and informal description and overview of how IES works, a Discrete Logarithm Integrated Encryption Scheme (DLIES) is used, focusing on illuminating the reader's understanding, rather than precise technical details.

Alice learns Bob's public key g x {\displaystyle g^{x}} through a public key infrastructure or some other distribution method.Bob knows his own private key x {\displaystyle x} . Alice generates a fresh, ephemeral value y {\displaystyle y} , and its associated public value g y {\displaystyle g^{y}} . Alice then computes a symmetric key k {\displaystyle k} using this information and a key derivation function (KDF) as follows: k = KDF ( g x y ) {\displaystyle k={\textrm {KDF}}(g^{xy})}

Alice computes her ciphertext c {\displaystyle c} from her actual message m {\displaystyle m} (by symmetric encryption of m {\displaystyle m} ) encrypted with the key k {\displaystyle k} (using an authenticated encryption scheme) as follows: c = E ( k ; m ) {\displaystyle c=E(k;m)}

Alice transmits (in a single message) both the public ephemeral g y {\displaystyle g^{y}} and the ciphertext c {\displaystyle c} . Bob, knowing x {\displaystyle x} and g y {\displaystyle g^{y}} , can now compute k = KDF ( g x y ) {\displaystyle k={\textrm {KDF}}(g^{xy})} and decrypt m {\displaystyle m} from c {\displaystyle c} . Note that the scheme does not provide Bob with any assurance as to who really sent the message: This scheme does nothing to stop anyone from pretending to be Alice.

Formal description of ECIES

Required information To send an encrypted message to Bob using ECIES, Alice needs the following information:

The cryptography suite to be used, including a key derivation function (e.g., ANSI-X9.63-KDF with SHA-1 option), a message authentication code system (e.g., HMAC-SHA-1-160 with 160-bit keys or HMAC-SHA-1-80 with 80-bit keys) and a symmetric encryption scheme (e.g., TDEA in CBC mode or XOR encryption scheme) — noted E {\displaystyle E} . The elliptic curve domain parameters: ( p , a , b , G , n , h ) {\displaystyle (p,a,b,G,n,h)} for a curve over a prime field or ( m , f ( x ) , a , b , G , n , h ) {\displaystyle (m,f(x),a,b,G,n,h)} for a curve over a binary field. Bob's public key K B {\displaystyle K_{B}} , which Bob generates it as follows: K B = k B G {\displaystyle K_{B}=k_{B}G} , where k B ∈ [ 1 , n − 1 ] {\displaystyle k_{B}\in [1,n-1]} is the private key he chooses at random. Some optional shared information: S 1 {\displaystyle S_{1}} and S 2 {\displaystyle S_{2}}

O {\displaystyle O} which denotes the point at infinity.

Encryption To encrypt a message m {\displaystyle m} Alice does the following:

generates a random number r ∈ [ 1 , n − 1 ] {\displaystyle r\in [1,n-1]} and calculates R = r G {\displaystyle R=rG}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Integrated Encryption Scheme

Start with the simplest possible case. Write down what Integrated Encryption Scheme 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 Integrated Encryption Scheme 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 Integrated Encryption Scheme 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 Integrated Encryption Scheme

In research
Integrated Encryption Scheme 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 Integrated Encryption Scheme 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
Integrated Encryption Scheme is common in secondary-school and first-year university syllabi. It links to neighbouring topics Cryptographic protocols, so understanding it makes those chapters shorter.
In everyday life
Look for Integrated Encryption Scheme 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 Integrated Encryption Scheme in 20 minutes

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

Frequently asked questions

What is Integrated Encryption Scheme in simple terms?

The Integrated Encryption Scheme (IES) is a hybrid encryption scheme which provides semantic security against an adversary who is able to use chosen-plaintext or chosen-ciphertext attacks. The security of the scheme is based on the computational Diffie–Hellman problem.

Why does Integrated Encryption Scheme 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 Integrated Encryption Scheme?

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 Integrated Encryption Scheme.

Tags

  • Cryptographic protocols

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