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Data validation is intended to provide certain well-defined guarantees for fitness and consistency of data in an application or automated system. Data validation rules can be defined and designed using various methodologies, and be deployed in various contexts. [1]
Attribute-based access control (ABAC), also known as policy-based access control for IAM, defines an access control paradigm whereby a subject's authorization to perform a set of operations is determined by evaluating attributes associated with the subject, object, requested operations, and, in some cases, environment attributes.
Quick Objects is an object–relational mapping tool for the Microsoft .NET Framework, a built in framework for business logic and validation. The architecture for Quick Objects differs from other ORM tools. The focus of Quick Objects is to provide the advantages of code reuse, code generation and object relational mapping in a single tool set.
Verification is intended to check that a product, service, or system meets a set of design specifications. [6] [7] In the development phase, verification procedures involve performing special tests to model or simulate a portion, or the entirety, of a product, service, or system, then performing a review or analysis of the modeling results.
Verification and validation of computer simulation models is conducted during the development of a simulation model with the ultimate goal of producing an accurate and credible model. [ 1 ] [ 2 ] "Simulation models are increasingly being used to solve problems and to aid in decision-making.
Smack (Simplified Mandatory Access Control Kernel) is a Linux kernel security module that protects data and process interaction from malicious manipulation using a set of custom mandatory access control rules, with simplicity as its main design goal. [14] It has been officially merged since the Linux 2.6.25 release. [15]
User input validation: User input (gathered by any peripheral such as a keyboard, bio-metric sensor, etc.) is validated by checking if the input provided by the software operators or users meets the domain rules and constraints (such as data type, range, and format).
The model was described in a 1987 paper (A Comparison of Commercial and Military Computer Security Policies) by David D. Clark and David R. Wilson.The paper develops the model as a way to formalize the notion of information integrity, especially as compared to the requirements for multilevel security (MLS) systems described in the Orange Book.