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 publication comprehensively offers a unique method of the systematic protection hardening of software program layout types expressed within the average UML language. It combines model-driven engineering and the aspect-oriented paradigm to combine defense practices into the early stages of the software program improvement strategy. To this finish, a UML profile has been constructed for the specification of safety hardening facets on UML diagrams. furthermore, a weaving framework, with the underlying theoretical foundations, has been designed for the systematic injection of defense elements into UML models.

The paintings is prepared as follows: bankruptcy 1 offers an creation to software program safeguard, model-driven engineering, UML and aspect-oriented applied sciences. Chapters 2 and three offer an summary of UML language and the most options of aspect-oriented modeling (AOM) respectively. bankruptcy four explores the world of model-driven structure with a spotlight on version alterations. the most ways which are followed within the literature for defense specification and hardening are awarded in bankruptcy five. After those extra common displays, bankruptcy 6 introduces the AOM profile for safeguard facets specification. Afterwards, bankruptcy 7 information the layout and the implementation of the safety weaving framework, together with a number of 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 sort. ultimately, a precis and overview of the paintings offered are supplied in bankruptcy 11.

The publication will gain researchers in academia and in addition to scholars drawn to studying approximately fresh study advances within the box of software program defense engineering.

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

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The pointcuts that belong to this class are within, withincode and cflow. • 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.

Furthermore, the pointcut-advice model extensively adapts the pull approach. It allows tracking subtle points in the control flow of applications that are important from a security point of view, such as method calls, method executions, getting and setting of attributes, etc. In addition, security behavior can be 28 3 Aspect-Oriented Paradigm automatically injected at these points. Hence, the pointcut-advice model was identified as the most appropriate approach for security hardening. 3 Basic Constructs of the Pointcut-Advice Model As mentioned previously, the pointcut-advice model is considered the most appropriate approach for security hardening.

The decision and merge nodes are used to model branching. An activity execution can be described in terms of tokens’ flow. A token is a locus of control or a container for an object/data that may be present at an activity node. For example, Fig. 71 illustrates a simple activity, which is invoked with an argument of 1 for its input parameter. Consequently, a data token with a value of 1 is placed on the input activity parameter node. Then, that data token flows to the input pin of the action A along the object flow a.

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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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