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  1. Proceedings of the 9th International Workshop on Modelling in Software Engineering (MISE '17)
  2. Model for reducing risks to private or sensitive data
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Models for the automated integration of service-oriented software systems
A restricted natural language based use case modeling methodology for real-time systems
Model for reducing risks to private or sensitive data
Online model editing, simulation and code generation for web and mobile applications
The Epsilon pattern language
Empirical studies into UML in practice: pitfalls and prospects
Evaluation of UML-RT and Papyrus-RT for modelling self-adaptive systems
Specifying evolving requirements models with TimedURN
iArch-U: interface-centric integrated uncertainty-aware development environment
ImitGraphs: towards faster usability tests of graphical model manipulation techniques
An exploratory study on the need for modeling software ecosystems: the case of SOLAR SECO
Transforming workflow models into automated end-to-end acceptance test cases

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Article

Model for reducing risks to private or sensitive data

Content Provider ACM Digital Library
Author Yee, George O. M.
Abstract Software systems can be found in almost every aspect of our lives, as can be seen in social media, online banking and shopping, as well as electronic health monitoring. This widespread involvement in our lives has led to the need to protect privacy, as the use of the software often requires us to input our personal information. Software systems can also hold sensitive data (e.g., a trade secret) that is vulnerable to theft. The key to protecting private or sensitive data in software systems is the knowledge of where the data resides in the system. This paper proposes a new model for visualizing a software system that focuses on the location of private or sensitive data, in order to gain insight into the attendant risks to attacks on the data. The model can then be modified to suggest ways of reducing these risks in the software system.
Starting Page 19
Ending Page 25
Page Count 7
File Format PDF
ISBN 9781538604267
DOI 10.1109/MiSE.2017..6
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2017-05-20
Access Restriction Subscribed
Subject Keyword Risks Reduction Model Sensitive Data Private Software System
Content Type Text
Resource Type Article
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