On this page you will only see the English-language presentations of the conference. You can find all conference sessions, including the German speaking ones, here.
The times given in the conference program of OOP 2024 correspond to Central European Time (CET).
By clicking on "VORTRAG MERKEN" within the lecture descriptions you can arrange your own schedule. You can view your schedule at any time using the icon in the upper right corner.
- Architecture – for Humans?
- C++ and possible Alternatives
- Domain-Driven Design expands our horizons
- Embedding AI into your Products: Practical Applications of Foundation Models
- Full Day Tutorial
- Half Day Tutorial
- Shaping the future: Overcoming Boundaries with New Ideas in Product Ownership, UX & Requirement Engineering
- Social Integration
- Software Architecture – Systematically Handling Quality Attributes
- Special Event
- Testing & Quality
- Thinking DevOps further
- Trends & Techniques
Security engineering from TARA and security requirements to security testing demand mechanisms to generate, verify, and connect the resulting work products. Traditional methods need lots of manual work and yet show inconsistencies and imbalanced tests. Generative AI allows novel methods with semi-automatic cyber security requirements engineering, traceability, and testing. In this industry presentation, we show two promising approaches with NLP and transformers and how to embed them into an industry-scale security pipeline from TARA to test.
Target Audience: Test Engineers, QA Experts, Security Experts, Requirements and Systems Engineers
Prerequisites: Some background on security and testing. We will hands-on introduce the AI methods.
Security engineering from TARA and security requirements to security testing demand mechanisms to generate, verify, and connect the resulting work products. Traditional methods need lots of manual work such as for traceability and yet show little impact when looking at the many inconsistencies and imbalanced tests. NLP especially transformers allow novel methods with semi-automatic cyber security requirements engineering, traceability, and testing.
We focus here on using generative AI with NLP because they can support the methods described in the standard while there is no need to change the form of representation from what is required by cybersecurity standards and respective stakeholders. Especially the use of Large Language Models (LLM) for text generation, aggregation, and classification has recently proven promising to improve the efficiency and effectiveness of security analysis and tests.
Grey Box Penetration Testing is an approach where only publicly available information is used to perform an attack on the SUT. This often requires massive research effort. Threat catalogs were known and often used threats are recorded can increase the performance while testing. To provide additional aid we are currently working towards building an AI-supported threat catalogue. Therefore, we use a special transformer model which is specialized in searching and summarizing information. When fed with known information about the SUT this model searches all available databases like CVE or CAPEC, previously recorded attack patterns, and other contextual information available and gives the penetration test engineer an initial idea of how to approach an attack on the SUT.
Using the AI to generate both grey and white box attack paths is an approach to check how much information about the system or components such as libraries and dependencies which are used in the SUT are available. Having introduced these methods to the security life-cycle, we will in the next step better integrate the tools. This will facilitate a swift turn-around upon changes in an agile delivery pipeline and thus achieve consistency from TARA to security requirements and (regression) test cases.
Vector together with the University of Stuttgart has developed transformers and generative AI-based methodologies for the specification and validation of cybersecurity requirements with the goal to increase productivity and quality.
In this industry presentation, we practically show how generative AI can scale into an industry-scale security pipeline.
Mehr Inhalte dieses Speakers? Schaut doch mal bei sigs.de vorbei: https://www.sigs.de/autor/christof.ebert
Christof Ebert is the managing director of Vector Consulting Services in Stuttgart, Germany. He holds a PhD from University of Stuttgart, is a Senior Member of the IEEE and teaches at University of Stuttgart and Sorbonne university in Paris. Cybersecurity has been his focus since studying in USA and directly contributing against the Morris worm.
Architecture work has to balance providing clear guidance for important decisions with empowering people to build their aspects of the system without interference. In this session we'll explore how security principles can help achieve this for application security. The talk explains how principles can guide design decisions without being too prescriptive and explains a set of ten proven principles for designing secure systems, distilled from security engineering practice but presented in accessible language for the working software architect.
Target Audience: Architects, Developers, Testers, Project Managers
Prerequisites: Some experience in developing large scale systems
Security is an ever more important topic for system designers. As our world becomes digital, today’s safely-hidden back office system is tomorrow’s public API, open to anyone on the Internet with a hacking tool and time on their hands. So the days of hoping that security is someone else’s problem are over.
The security community has developed a well understood set of principles used to build systems that are secure (or at least securable) by design, but this topic often isn’t included in the training of software developers, assuming that it’s only relevant to security specialists. Then when principles are explained, they are often shrouded in the jargon of the security engineering community and so mainstream developers struggle to understand and apply them.
In this talk, we will introduce a set of ten key, proven, principles for designing secure systems, distilled from the wisdom of the security engineering community. We’ll explain each principle the context of mainstream system design, rather than in the specialised language of security engineering, explaining how it is applied in practice to improve security.
Mehr Inhalte dieses Speakers? Schaut doch mal bei sigs.de vorbei: https://www.sigs.de/autor/Eoin.Woods
Eoin Woods is the Chief Engineer at Endava (www.endava.com) where he is responsible for delivery capability and innovation. In previous professional lives he has developed databases, security software and way too many systems to move money around. He is interested in software architecture, software security, DevOps and software energy efficiency. He co-authored three books on software architecture and received the 2018 Linda Northrup Award for Software Architecture, from the SEI at CMU.