Access Control, Security, and Trust : A Logical Approach by Shiu-Kai Chin PDF

By Shiu-Kai Chin

ISBN-10: 1439894639

ISBN-13: 9781439894637

ISBN-10: 1584888636

ISBN-13: 9781584888635

Developed from the authors’ classes at Syracuse collage and the U.S. Air strength learn Laboratory, Access keep watch over, protection, and belief: A Logical Approach equips readers with an entry keep an eye on common sense they could use to specify and ensure their safeguard designs. during the textual content, the authors use a unmarried entry keep an eye on common sense according to an easy propositional modal logic.

The first a part of the e-book provides the syntax and semantics of entry keep an eye on common sense, easy entry keep an eye on innovations, and an creation to confidentiality and integrity regulations. the second one part covers entry keep an eye on in networks, delegation, protocols, and using cryptography. within the 3rd part, the authors specialize in and digital machines. the ultimate half discusses confidentiality, integrity, and role-based entry control.

Taking a logical, rigorous method of entry keep watch over, this ebook exhibits how good judgment is an invaluable device for studying safeguard designs and spelling out the stipulations upon which entry keep watch over judgements count. it truly is designed for machine engineers and laptop scientists who're answerable for designing, enforcing, and verifying safe computing device and knowledge systems.

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The identity relation on a set A is the relation idA ⊆ A × A defined by: idA = {(a, a) | a ∈ A}. The composition of relations R1 ⊆ A × B and R2 ⊆ B × C is the relation R1 ◦ R2 ⊆ A ×C defined as follows: R1 ◦ R2 = {(x, z) | there exists y such that ((x, y) ∈ R1 and (y, z) ∈ R2 )}. Finally, given a relation R ⊆ A × B and an element a ∈ A, we define R(a) to be the image of R under a: R(a) = {b ∈ B | (a, b) ∈ R}. That is, R(a) is the set of elements in B related to a by the relation R. For example, if S is the relation S = {(1, 2), (2, 3), (2, 4), (3, 5), (3, 1), (4, 1), (5, 2)}, then S(2) = {3, 4} and S(3) = {5, 1}.

Acted upon as if Q had made it). In addition to the sorts of statements mentioned above, we make use of the standard logical operators: negation (¬ϕ), conjunction (ϕ1 ∧ ϕ2 ), disjunction (ϕ1 ∨ ϕ2 ), implication (ϕ1 ⊃ ϕ2 ), and equivalence (ϕ1 ≡ ϕ2 ). Having provided an informal overview of our logic, we give a formal definition of our logic’s syntax in the next subsection. 3 Well-Formed Formulas We give the name PropVar to the collection of all propositional variables, and we typically use lowercase identifiers (such as p, q, r) to range over this set.

A propositional-logic formula is a tautology—and therefore safe to use as an axiom of the system—if it is true for every possible interpretation of the propositional variables. These same core ideas apply to the semantics for our access-control logic. Because we must account for the interpretation of principals in addition to propositional variables, the semantics requires a little more structure than truth tables provide. We can find this additional structure in the form of Kripke structures. 1 Kripke Structures Kripke structures are useful models for analyzing a variety of situations.

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Access Control, Security, and Trust : A Logical Approach by Shiu-Kai Chin

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