An Implementation of a Process-Oriented Cross-System Compliance Monitoring Approach in a SAP ERP and BI Environment

Compliance to regulatory demands has become a crucial matter for organizations. Non-observancemay lead to far-reaching consequences, e.g. damage to reputation, decline of credit rating or marketvalue, fraud and fines. The success of compliance management correlates with the frequency ofmonitoring and reporting and is affected by complex and often time-consuming manual validationtasks. To address this problem, organizations implement corresponding IT solutions. However, theoften heterogeneous system landscapes, the different information sources and their integrationrepresent major challenges.This paper presents an implementation of a novel process-oriented and cross-system compliancemonitoring approach. The approach is based on a model which provides for the annotation ofbusiness processes with internal controls, critical permissions and roles as well as an architecturewhich provides for the automatic detection, timely communication and deep analysis of controlexceptions. It solely relies on established standards (i.e. XACML, BPMN, COSO and SWRL) andexisting technologies. The implementation has been deployed in a productive SAP ERP and BIenvironment. It automatically converts access control data from the proprietary SAP model andpublishes control exceptions to the BI system. The effects and causes of these control exception can beappropriately analyzed using BI queries and reports

Modular Generation and Customization

Modularity and flexibility can conflict in multi-language systems. For example, the templates commonly used to generate web pages must be manually updated when the database schema changes. Modularity can be improved by generating web pages automatically from the database schema, but it is hard for such a generator to produce the same variety of outputs that are easily achieved by ad hoc edits to a template. Ideally, such ad hoc edits would be abstracted into transformations that compose with the generator, offering both modularity and flexibility. However common customizations cannot be abstracted using the standard techniques of textual identifiers and ordinal positions. These difficulties are distilled into a challenge problem to evaluate potential solutions. A solution is proposed based on field trees, a new data model for software artifacts that provides persistent identifiers and unshifting positions within sequences. But using field trees with conventional programming languages and development environments requires more effort than the ad hoc editing they seek to supplant. Field trees are therefore extended into differential trees, which integrate artifacts and their transformations into a unified representation

Towards Principled Dynamic Analysis on Android

The vast amount of information and services accessible through mobile handsets running the Android operating system has led to the tight integration of such devices into our daily routines. However, their capability to capture and operate upon user data provides an unprecedented insight into our private lives that needs to be properly protected, which demands for comprehensive analysis and thorough testing. While dynamic analysis has been applied to these problems in the past, the corresponding literature consists of scattered work that often specializes on sub-problems and keeps on re-inventing the wheel, thus lacking a structured approach. To overcome this unsatisfactory situation, this dissertation introduces two major systems that advance the state-of-the-art of dynamically analyzing the Android platform. First, we introduce a novel, fine-grained and non-intrusive compiler-based instrumentation framework that allows for precise and high-performance modification of Android apps and system components. Second, we present a unifying dynamic analysis platform with a special focus on Android’s middleware in order to overcome the common challenges we identified from related work. Together, these two systems allow for a more principled approach for dynamic analysis on Android that enables comparability and composability of both existing and future work.Die enorme Menge an Informationen und Diensten, die durch mobile Endgeräte mit dem Android Betriebssystem zugänglich gemacht werden, hat zu einer verstärkten Einbindung dieser Geräte in unseren Alltag geführt. Gleichzeitig erlauben die dabei verarbeiteten Benutzerdaten einen beispiellosen Einblick in unser Privatleben. Diese Informationen müssen adäquat geschützt werden, was umfassender Analysen und gründlicher Prüfung bedarf. Dynamische Analysetechniken, die in der Vergangenheit hier bereits angewandt wurden, fokussieren sich oftmals auf Teilprobleme und reimplementieren regelmäßig bereits existierende Komponenten statt einen strukturierten Ansatz zu verfolgen. Zur Überwindung dieser unbefriedigenden Situation stellt diese Dissertation zwei Systeme vor, die den Stand der Technik dynamischer Analyse der Android Plattform erweitern. Zunächst präsentieren wir ein compilerbasiertes, feingranulares und nur geringfügig eingreifendes Instrumentierungsframework für präzises und performantes Modifizieren von Android Apps und Systemkomponenten. Anschließend führen wir eine auf die Android Middleware spezialisierte Plattform zur Vereinheitlichung von dynamischer Analyse ein, um die aus existierenden Arbeiten extrahierten, gemeinsamen Herausforderungen in diesem Gebiet zu überwinden. Zusammen erlauben diese beiden Systeme einen prinzipienorientierten Ansatz zur dynamischen Analyse, welcher den Vergleich und die Zusammenführung existierender und zukünftiger Arbeiten ermöglicht

I know what leaked in your pocket: uncovering privacy leaks on Android Apps with Static Taint Analysis

Android applications may leak privacy data carelessly or maliciously. In this work we perform inter-component data-flow analysis to detect privacy leaks between components of Android applications. Unlike all current approaches, our tool, called IccTA, propagates the context between the components, which improves the precision of the analysis. IccTA outperforms all other available tools by reaching a precision of 95.0% and a recall of 82.6% on DroidBench. Our approach detects 147 inter-component based privacy leaks in 14 applications in a set of 3000 real-world applications with a precision of 88.4%. With the help of ApkCombiner, our approach is able to detect inter-app based privacy leaks