Perfect secrecy means that observing the ciphertext changes no probability concerning the plaintext. For every distribution of the message , and every with ,
Equivalently, for every pair the conditional probability distributions of the ciphertext are identical:
The randomness here comes from independent key generation and any encryption randomness. The claim is information theoretic: unlimited computation cannot extract information about from beyond what was known beforehand.
Bob especially needs unpredictability, because is intended to be secret until Tim processes the request. A predictable counter destroys even that limited assurance.
If the adversary knows Bob's next value , it initiates a run with Alice's name and intercepts Bob's request. Without consulting Tim, it chooses a key , constructs , and sends as message 3, with any suitably shaped opaque ticket for Alice. Bob cannot inspect that ticket. He accepts , sends message 4, and accepts the adversary's . Alice and Tim need not participate.
This preplay attack requires a correct prediction of Bob's outstanding value, knowledge of his public key, and the ability to intercept or race the genuine response. Observing an earlier unencrypted response may expose a counter value from which to predict the next. With an independent uniformly random hidden -bit value, blind prediction succeeds with probability per attempt.
In particular, random cryptographic nonces do not make the printed protocol sound. After the genuine message 3 reveals , the adversary can use exactly the substitution in solution. Predictability allows an earlier attack without Tim; lack of response binding allows an attack even with perfect unpredictability.
An unpredictable random -bit cryptographic nonce is better for Alice than a predictable counter, provided repetitions are detected or made sufficiently unlikely. Alice wants a matching ticket to imply a response to her present challenge, and the protocol lets anyone ask Tim for a ticket containing a chosen .
Suppose an adversary predicts that Alice's next challenge for Bob will be . Before Alice starts that run, the adversary sends to Bob as message 1. Bob asks Tim for a session key and returns the genuine pair in message 4. The adversary stores that pair and lets the early run lapse. Later, when Alice really emits , the adversary blocks it and delivers the stored pair. Alice's ticket and greeting checks pass, despite the key and Bob's participation predating her run. This is a preplay attack on freshness and recent participation. Bob need not accept Alice's eventual message 5 for Alice's acceptance to have failed its freshness goal.
Success requires the predicted value and identities to match, an early run that yields the matching ticket and greeting, and Alice to accept solely from the outstanding value without additional expiry or run binding. No session key disclosure is needed to defeat freshness; if that old key has also been compromised, impersonation and loss of cryptographic confidentiality follow as well.
A guess at a particular uniformly random value has probability per independent attempt, with success approximately for distinct guesses when that ratio is small. Random choice does not itself guarantee uniqueness: among independent values the birthday problem collision scale is approximately . Counter uniqueness and unpredictability are different requirements.
The final messages contain fixed greetings, rather than a fresh challenge for their particular run. Their freshness is inherited entirely from the session key. If a key is reused, a previously recorded or becomes acceptable evidence again. An adversary can then mount a replay attack without knowing and without the purported speaker taking part in the new run.
Reusing a previously compromised session key is worse: the adversary can create both confirmations and read protected traffic. Fresh independent session keys limit that reuse, although they cannot fix the unauthenticated-ticket flaw shown in solution.
Alice can still authenticate Bob when she accepts a genuine fresh ticket and successfully checks . The session key inside her ticket is Tim's genuine key, protected by her public key together with . Tim gives that same key only to Alice and to the holder of Bob's private key. The adversary cannot derive it, and honest Tim does not send the greeting. Alice has not sent that greeting either. Thus the matching greeting is evidence that Bob obtained the key and participated. The different final greetings prevent simply reflecting Alice's own confirmation back at her.
Bob's intended freshness test is that was hidden in his request encrypted for Tim, so a matching answer must follow Tim's processing of that request. This establishes that Tim revealed that cryptographic nonce; it does not authenticate the adjacent ticket. The substitution attack in solution may use an old adversary-known instead of a fresh one. Bob accepts it even though its freshness is false.
The defect is the absence of a cryptographic binding between Bob's cryptographic nonce and his key ticket. A repair must bind the identities, both cryptographic nonces and the session key under message authentication verifiable as Tim's, for example a digital signature by Tim over the response, checked before Bob accepts. Merely moving the nonce inside a public-key-encrypted ticket is insufficient once an attacker knows or predicts it: anyone can create such an encryption.
Alice's own freshness evidence is the ticket
After decryption, she checks her pending cryptographic nonce, the long-term shared secret and both identities. Only Alice and Tim know ; with honest Tim and an unpredictable new , a valid matching ticket establishes that Tim generated this session key after that challenge was issued. A merely unused but predictable challenge does not establish that temporal ordering.
The claimed authentication of Alice to Bob, however, is false for the printed protocol. To exhibit the failure, let initiate message 1 using Alice's name while Alice is absent. Bob and Tim carry out messages 2 and 3 normally. Write the genuine message 3 as , where and . The adversary intercepts it, learns the unencrypted , and chooses a symmetric key of its own.
The adversary sends Bob
Bob's checks of and the ticket identities pass, because anyone can encrypt using his public key. Bob sends message 4 using ; the adversary suppresses that message and returns as message 5. Bob accepts Alice, although Alice has done nothing. No encryption has been broken.
The tempting intended argument is that only Alice, Bob and Tim could know the transported key, so message 5 proves Alice's participation. The substituted ticket invalidates its premise: Bob's accepted key is , which the adversary knows.
In the Dolev-Yao model, an adversary controls the network: it can intercept, suppress, delay, replay and redirect messages, impersonate network senders, and construct messages from values it knows. In particular, it can concatenate or split unprotected tuples, and can apply encryption using any known public key or known symmetric key.
Cryptography is idealised. Without the required private key or symmetric key, the adversary cannot recover a protected plaintext or construct an otherwise unavailable protected value. It cannot invent an unknown long-term secret merely because the containing ciphertext is visible. Protocol failures arise from the arrangement of messages even when these cryptographic primitives behave perfectly.
A trusted third party is an additional participant whose correct behaviour and protection of its secret state are assumptions on which the other parties rely. Here Alice and Bob rely on Tim to associate identities with the right public keys, generate fresh session keys, and keep the long-term shared secrets confidential.
Tim is allowed to know , so the intended cryptographic confidentiality claim excludes the network adversary, rather than excluding Tim. Correct behaviour by Tim does not make every message purportedly sent by Tim authentic: the recipients must still verify the relevant evidence.
Bilateral authentication means that each participant obtains assurance of the other's identity and participation in the relevant run: Alice authenticates Bob and Bob authenticates Alice. An observed name in a message is not such assurance. The protocol must prevent an adversary from supplying the evidence while the named peer is absent.
Session key transport means conveying an already selected session key securely to its intended users. Here Tim selects and sends it inside separate public-key-encrypted tickets for Alice and Bob. This differs from having Alice and Bob jointly derive a key to which both contribute.
The fact that a nontrivial factor usually appears before a full return does not say that either event appears soon. Each iteration of the RSA cycling attack is inexpensive, but the number of iterations can be enormous. The multiplicative orders governing returns modulo and need not be small, and writing down a large return exponent does not provide a fast way to search the preceding iterations.
If this procedure factored arbitrary well-generated RSA cryptosystem moduli in feasible time with substantial success, it would solve the associated integer factorization problem efficiently. If it instead rapidly returned the predecessor of a ciphertext without factoring, it would solve the RSA inversion problem. Both are intended to be infeasible for appropriate parameters. Efficient integer factorization certainly breaks RSA cryptosystem security; the reverse implication for general RSA inversion problem algorithms is not known.
Thus the stated observation alone provides no serious general attack on well-generated parameters. It also does not prove a lower bound: special moduli or messages with short cycles can be weak, and the hardness claims are computational assumptions.
Take the positive integer whose existence is allowed by the question and write
Modulo , if then directly. Otherwise Fermat's little theorem applies, since is a multiple of . Hence . The same two-case argument works modulo . By the Chinese remainder theorem,
so
This also covers a ciphertext that is not coprime to ; applying Euler's theorem without checking that hypothesis would miss this detail. Equivalently, repeated application of a permutation on a finite set eventually returns to the starting point, although the arithmetic argument gives the requested sufficient exponent.
Avoid constructing the huge integers explicitly. Maintain and , computing after each step.
In case (1), the nontrivial greatest common divisor is one of the prime factors . Divide by it, compute with the extended Euclidean algorithm, and return .
In case (2), . The preceding value satisfies . Cubing is a bijection on the residue classes modulo , so there is only one such cube root, namely the original plaintext . Therefore
For , the preceding value is ; a fixed point is its own plaintext. Keeping the previous iterate makes the recovery immediate once the RSA cycling attack succeeds.
For each candidate nonzero offset , expansion gives
Consequently, if is invertible, the candidate is
Compute the modular multiplicative inverse using the extended Euclidean algorithm, then verify both and . The RSA cryptosystem cubing map is a bijection, so an accepted candidate cannot be a different plaintext with the same first ciphertext. This costs fewer than trials, each involving polynomially many operations in the bit length of .
There is a useful way to handle every denominator exception for a correct nonzero . Compute . If , this greatest common divisor factors , allowing ordinary RSA cryptosystem decryption. If , then . The permitted prime numbers are and much larger than , so is invertible modulo each. The equation would make a nontrivial cube root of one, impossible in a group of order coprime to three. Thus cannot occur for the correct nonzero offset under these hypotheses.
If the bound in the question is read as also allowing , then and there is no additional information: the problem reduces to inverting a single ordinary RSA cryptosystem ciphertext. The small-offset attack requires a nonzero difference; that is the natural reading of distinct related messages.
All calculations are in modular arithmetic modulo . Expand the two expressions appearing in the proposed quotient:
The first is exactly times the second. Multiplication by the assumed modular multiplicative inverse therefore gives
The representative in is the plaintext. This RSA related-message attack uses a relation between messages to turn two cubic equations into a linear equation; it does not recover the private key or factor in the invertible case.
The essential exponent condition is
Otherwise the modular multiplicative inverse defining does not exist. For large prime numbers greater than three, this is equivalent to
If, for example, , the multiplicative group modulo has order divisible by three, and cubing is not a bijection; distinct plaintexts can have the same ciphertext. Unique decryption of all messages would then be impossible.
The prime numbers must also be distinct for the displayed totient formula, and selected sufficiently large and independently that integer factorization of is infeasible. A small factor, equal factors, or an exceptionally small difference between and gives an avoidable factorisation weakness. These size and generation conditions address security; the congruence condition addresses invertibility of cubing.
For distinct prime numbers , compute the Euler totient function
The RSA cryptosystem private exponent is a modular multiplicative inverse of the public exponent:
Use the extended Euclidean algorithm on and . It produces integers with , and reducing modulo gives a suitable positive . Searching through possible exponents is unnecessary.
To see correctness even for a plaintext sharing a factor with , write . Modulo , either or Fermat's little theorem gives ; the same holds modulo . The Chinese remainder theorem then gives . One may alternatively invert modulo , but inversion modulo is sufficient for this paper.
First, the Bell-LaPadula model is a information confidentiality policy. It permits a low-level subject to overwrite a more highly classified object by blind writing. That can destroy a high-level file or introduce false data without disclosing its old contents. Thus it does not supply a data integrity policy, and it also does not ensure service availability. Modern multiuser operating systems require protection against modification and resource exhaustion as well as disclosure.
Second, a single hierarchy of classifications cannot express ordinary independent user ownership and selective collaboration. Two users at the same level may still need different permissions on their respective files; conversely, an authorised publication may deliberately release selected information to lower levels. The simple model lacks those owner-specific permissions and controlled release decisions. Adding discretionary access control, categories and explicit declassification mechanisms is substantial additional policy.
The Bell-LaPadula star property restricts information flow using the subject's current level. With the paper's distinction between blind writing and reading, its usual current-level formulation is
AccessRequired comparison
Read
Blind write
Readwrite
Here also holds. The first row means that reading above the current level is forbidden; the second is the familiar prohibition on writing down. Their conjunction gives the third row. Blind writing upwards is allowed because it need not disclose the higher file's contents to the writer.
For example, a subject operating at secret level cannot copy a secret file into a public file, even though its clearance would permit reading both files. More generally, any simultaneously readable object must be at most as highly classified as any writable object. A subject must not evade the rule by retaining secret information and then lowering its current level: level-changing transitions need their own safe treatment of retained information and open accesses.
The Bell-LaPadula model protects information confidentiality by controlling information flow between security levels. Its simple security property says that a subject may read only objects whose classification does not exceed its maximum clearance:
Thus a user cleared for confidential material cannot directly read a secret file. A readwrite permission includes reading and must satisfy the same restriction. This is an access control rule about who can learn existing contents; it says nothing by itself about where a cleared subject can subsequently copy them.
The multiplication order needs care. Use the standard right-hand rotation matrices, consistent with the printed and the stated positive rotation. For column vectors, direct multiplication of the two products in the order printed gives
Both permute the dimensions into , rather than the required . Therefore, with ordinary column-vector matrix multiplication, neither printed product is the permutation in part (ii). A translation can correct the position of a cuboid, but cannot correct these permuted side lengths for general . This order mismatch is present in the original printed question.[ref]
The apparent intended comparison is obtained if “chain” means apply the rotation first, then the rotation. Under that interpretation the actual column-vector products have the reverse order:
Thus the negative-angle sequence is correct when read as operations performed from left to right. The positive-angle sequence gives
It occupies . Apply the world-space translation
This puts the cuboid in and still maps to . The distinction is purely the action order: ordinary products act rightmost first, while a library may describe an ordered sequence of operations in application order. Giving the coordinate maps makes either convention explicit. If one merely wanted to place the literal printed negative product in the positive octant, its translation would instead be , producing dimensions and still failing the requested general bounds.

Pinned article: Introduction to the OurBigBook Project

Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
We have two killer features:
  1. topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculus
    Articles of different users are sorted by upvote within each article page. This feature is a bit like:
    • a Wikipedia where each user can have their own version of each article
    • a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
    This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
    Figure 1.
    Screenshot of the "Derivative" topic page
    . View it live at: ourbigbook.com/go/topic/derivative
  2. local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:
    This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
    Figure 5. . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
    Edit locally and publish demo
    . Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact