7 research outputs found
The Transitivity of Trust Problem in the Interaction of Android Applications
Mobile phones have developed into complex platforms with large numbers of
installed applications and a wide range of sensitive data. Application security
policies limit the permissions of each installed application. As applications
may interact, restricting single applications may create a false sense of
security for the end users while data may still leave the mobile phone through
other applications. Instead, the information flow needs to be policed for the
composite system of applications in a transparent and usable manner. In this
paper, we propose to employ static analysis based on the software architecture
and focused data flow analysis to scalably detect information flows between
components. Specifically, we aim to reveal transitivity of trust problems in
multi-component mobile platforms. We demonstrate the feasibility of our
approach with Android applications, although the generalization of the analysis
to similar composition-based architectures, such as Service-oriented
Architecture, can also be explored in the future
Security-Pattern Recognition and Validation
The increasing and diverse number of technologies that are connected to the Internet, such as distributed enterprise systems or small electronic devices like smartphones, brings the topic IT security to the foreground. We interact daily with these technologies and spend much trust on a well-established software development process. However, security vulnerabilities appear in software on all kinds of PC(-like) platforms, and more and more vulnerabilities are published, which compromise systems and their users. Thus, software has also to be modified due to changing requirements, bugs, and security flaws and software engineers must more and more face security issues during the software design; especially maintenance programmers must deal with such use cases after a software has been released. In the domain of software development, design patterns have been proposed as the best-known solutions for recurring problems in software design. Analogously, security patterns are best practices aiming at ensuring security. This thesis develops a deeper understanding of the nature of security patterns. It focuses on their validation and detection regarding the support of reviews and maintenance activities. The landscape of security patterns is diverse. Thus, published security patterns are collected and organized to identify software-related security patterns. The description of the selected software-security patterns is assessed, and they are compared against the common design patterns described by Gamma et al. to identify differences and issues that may influence the detection of security patterns. Based on these insights and a manual detection approach, we illustrate an automatic detection method for security patterns. The approach is implemented in a tool and evaluated in a case study with 25 real-world Android applications from Google Play
Erkennung und Validierung von Sicherheitsmustern
The increasing and diverse number of technologies that are connected to the Internet, such as distributed enterprise systems or small electronic devices like smartphones, brings the topic IT security to the foreground. We interact daily with these technologies and spend much trust on a well-established software development process. However, security vulnerabilities appear in software on all kinds of PC(-like) platforms, and more and more vulnerabilities are published, which compromise systems and their users. Thus, software has also to be modified due to changing requirements, bugs, and security flaws and software engineers must more and more face security issues during the software design; especially maintenance programmers must deal with such use cases after a software has been released. In the domain of software development, design patterns have been proposed as the best-known solutions for recurring problems in software design. Analogously, security patterns are best practices aiming at ensuring security. This thesis develops a deeper understanding of the nature of security patterns. It focuses on their validation and detection regarding the support of reviews and maintenance activities. The landscape of security patterns is diverse. Thus, published security patterns are collected and organized to identify software-related security patterns. The description of the selected software-security patterns is assessed, and they are compared against the common design patterns described by Gamma et al. to identify differences and issues that may influence the detection of security patterns. Based on these insights and a manual detection approach, we illustrate an automatic detection method for security patterns. The approach is implemented in a tool and evaluated in a case study with 25 real-world Android applications from Google Play
The Transitivity-of-Trust Problem in Android Application Interaction
Mobile phones have developed into complex platforms with large numbers of installed applications and a wide range of sensitive data. Application security policies limit the permissions of each installed application. As applications may interact, restricting single applications may create a false sense of security for end users, while data may still leave the mobile phone through other applications. Instead, the information flow needs to be policed for the composite system of applications in a transparent manner. In this paper, we propose to employ static analysis, based on the software architecture and focused on data-flow analysis, to detect information flows between components. Specifically, we aim to reveal transitivity-of-trust problems in multi-component mobile platforms. We demonstrate the feasibility of our approach with two Android applications
A discourse analysis of preschool educatorsâ discussions about wild and chaotic play.
Syftet med denna studie Àr att undersöka hur manliga och kvinnliga pedagoger talar om vild och kaosartad lek. Studiens metod Àr kvalitativ, halvstrukturerad intervju dÀr sammanlagt 10 pedagoger verksamma inom förskolan har intervjuats. I studien har diskursanalys anvÀnts som analysmetod. Studiens resultat visar att det finns mÄnga diskurser som hamnar i konflikt, eller antagonism med varandra. Dessa diskurser grundar sig i synen pÄ vild och kaosartad lek som bra respektive dÄlig eller hur den bör bemötas och hanteras. I den tidigare forskningen efterfrÄgas en ytterligare kunskap om vild och kaosartad lek och slutsatserna visar bland annat att diskurserna som blir synliga i pedagogernas tal hamnar i antagonism med varandra pÄ grund av att pedagogerna inte fullt ut vet vad vild och kaosartad lek Àr bra för och hur de ska eller bör bemöta den.