By Djedjiga Mouheb, Mourad Debbabi, Makan Pourzandi, Lingyu Wang, Mariam Nouh, Raha Ziarati, Dima Alhadidi, Chamseddine Talhi, Vitor Lima

ISBN-10: 3319161059

ISBN-13: 9783319161051

ISBN-10: 3319161067

ISBN-13: 9783319161068

This ebook comprehensively provides a singular method of the systematic defense hardening of software program layout types expressed within the common UML language. It combines model-driven engineering and the aspect-oriented paradigm to combine defense practices into the early levels of the software program improvement approach. To this finish, a UML profile has been built for the specification of defense hardening elements on UML diagrams. additionally, a weaving framework, with the underlying theoretical foundations, has been designed for the systematic injection of defense facets into UML models.

The paintings is geared up as follows: bankruptcy 1 offers an advent to software program defense, model-driven engineering, UML and aspect-oriented applied sciences. Chapters 2 and three supply an summary of UML language and the most techniques of aspect-oriented modeling (AOM) respectively. bankruptcy four explores the world of model-driven structure with a spotlight on version variations. the most methods which are followed within the literature for defense specification and hardening are provided in bankruptcy five. After those extra basic displays, bankruptcy 6 introduces the AOM profile for safeguard points specification. Afterwards, bankruptcy 7 information the layout and the implementation of the protection weaving framework, together with numerous real-life case reviews to demonstrate its applicability. bankruptcy eight elaborates an operational semantics for the matching/weaving approaches in task diagrams, whereas chapters nine and 10 current a denotational semantics for point matching and weaving in executable types following a continuation-passing type. eventually, a precis and review of the paintings provided are supplied in bankruptcy 11.

The e-book will profit researchers in academia and in addition to scholars drawn to studying approximately contemporary examine advances within the box of software program safety engineering.

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Extra info for Aspect-Oriented Security Hardening of UML Design Models

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All the aforementioned AOP models are candidates to separate crosscutting concerns in general but a model might be more appropriate than another when it comes to security hardening. In this respect, the authors in [33] have analyzed common practices in security hardening inspired from CERT coding rules [18, 19, 21] and US Department of Homeland Security coding rules [24] where they are representations of knowledge gained from real-world experiences about potential vulnerabilities that exist in programming languages.

Context matching pointcuts focus on providing contextual information such as object values during runtime. These pointcuts are generally used in conjunction with kinded pointcuts. The pointcuts that belong to this class are: args, target and this. 3 Basic Constructs of the Pointcut-Advice Model 31 Fig. 4 Advices Advice is a method-like construct used to declare that certain piece of code should execute at particular join points defined by a pointcut. Advice declarations define advice by associating code with a pointcut, and the time when the code should be executed.

4 Aspect-Oriented Modeling 33 affects the structural part of a software system. A behavioral adaptation is similar to an advice in AOP languages since it affects the behavioral part of a system. • A join point is a location in the base model where an adaptation should be applied. • A pointcut is an expression that designates a set of join points. 5 Conclusion In this chapter, we have reviewed the main concepts of aspect-oriented programming and discussed the most-used AOP models, namely the pointcut-advice model, the multi- dimensional separation of concerns model, and the adaptive programming model.

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Aspect-Oriented Security Hardening of UML Design Models by Djedjiga Mouheb, Mourad Debbabi, Makan Pourzandi, Lingyu Wang, Mariam Nouh, Raha Ziarati, Dima Alhadidi, Chamseddine Talhi, Vitor Lima


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