Abstract
It is very difficult to make IT-systems secure as there are many different components and mechanisms involved such as operating systems, computer networks, and software engineering. Without a systematic methodology, security requirements are often retrofitted late in the design process or pursued separately from functional design. To fill this gap, we are currently working on a security engineering process which extends the software development process presented in [12]. The security engineering process will provide a rich set of expressive guidelines and functions, enforcing the integration of security aspects in early stages of the software development process. The basic building blocks of the process are high-level security requirements and mechanisms, which can be summarized in a so-called requirements/mechanisms matrix. The approach will be based on UML (Unified Modeling Language) which is a general-purpose, nonproprietary modeling language. UML includes all the concepts that are necessary to support a modern iterative software development process. Keywords: Security, Conceptual Security Modeling, Software Engineering.
Original language | English |
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Title of host publication | The 7th World Multiconference on Systemics, Cybernetics and Informatics |
Editors | Nagib Callaos, William Lesso, Belkis Sánchez, Elizabeth Hansen |
Publisher | IIIS International Institute of Informatics and Systemics |
Pages | 22-27 |
Number of pages | 6 |
Volume | VI |
ISBN (Print) | 980-6560-01-9 |
Publication status | Published - Jul 2003 |
Fields of science
- 102001 Artificial intelligence
- 102006 Computer supported cooperative work (CSCW)
- 102010 Database systems
- 102014 Information design
- 102015 Information systems
- 102016 IT security
- 102028 Knowledge engineering
- 102019 Machine learning
- 102022 Software development
- 102025 Distributed systems
- 502007 E-commerce
- 505002 Data protection
- 506002 E-government
- 509018 Knowledge management
- 202007 Computer integrated manufacturing (CIM)
- 102033 Data mining
- 102035 Data science