By Shiu-Kai Chin
"Developed from the authors' classes at Syracuse collage and the U.S. Air strength examine Laboratory, entry keep an eye on, safety, and belief: A Logical technique equips readers with an entry regulate good judgment they could use to specify and determine their safeguard designs. in the course of the textual content, the authors use a unmarried entry keep an eye on good judgment in line with an easy propositional modal logic.
The first a part of the booklet provides the syntax and semantics of entry keep watch over common sense, easy entry keep an eye on options, and an creation to confidentiality and integrity rules. the second one part covers entry regulate 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 regulate, this booklet indicates how common sense is an invaluable instrument for examining safeguard designs and spelling out the stipulations upon which entry keep watch over judgements count. it truly is designed for desktop engineers and desktop scientists who're liable for designing, enforcing, and verifying safe desktop and knowledge systems."--Pub. desc. Read more...
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Additional resources for Access control, security, and trust : a logical approach
For example, Kent says r ∨ p ⊃ q is equivalent to (((Kent says r) ∨ p) ⊃ q), and similarly for controls . Because ⇒ is an operator that relates only principal expressions (as opposed to logical formulas), its use is always unambiguous. 1 Which of the following are well-formed formulas in the accesscontrol logic? Support your answers by appealing to the BNF specification. a. ((p ∧ ¬q) ⊃ (Cal controls r)) b. ((Gin ⇒ r) ∧ q) c. (Mel | Ned says (r ⊃ t)) d. (¬t ⇒ Sal) e. (Ulf controls (Vic | Wes ⇒ Tor)) f.
How could we possibly know which Kripke structure to use for any given analysis? In this chapter, we introduce a collection of inference rules that will provide the basis for reasoning rigorously about access control. These rules describe a system for manipulating well-formed formulas as a way of calculating the consequences of various assumptions. A crucial property for these rules is that they must be sound with respect to the Kripke-structure semantics. That is, the rules should ensure that, in any situation where a given Kripke structure satisfies all of a rule’s premises, the Kripke structure also satisfies the rule’s consequent.
Unfortunately, natural language expressions have imprecise meanings. We need a way to unambiguously express the policies, trust assumptions, recognized authorities, and statements made by various principals and be able to justify the resulting access-control decisions. In this chapter, we introduced a language that allows us to express our policies, trust assumptions, recognized authorities, and statements in a precise and unambiguous way. Expressions in this language are given precise, mathematical meanings through the use of Kripke structures.
Access control, security, and trust : a logical approach by Shiu-Kai Chin