Short Courses of the 24th Brazilian Symposium on Information and Computational Systems Security
Keywords:
Data Science, Cybersecurity, Jailbreaking, Large Language Models, Machine Learning, Secure Computing Environments, Forensic Analysis, BitcoinSynopsis
It is with great pleasure that we present the selection of chapters from this book, which compiles the minicourses from the 24th Brazilian Symposium on Information and Computational Systems Security (SBSeg), held in São José dos Campos - SP, Brazil, from September 16 to 19, 2024. We received 11 minicourse proposals, of which 4 were accepted for publication in this book and for presentation at the event, resulting in an acceptance rate of 36%.
The SBSeg short courses have evolved to meet the demands of the event's audience, aiming to cater to both those who prefer practical content and those who wish to explore the frontiers of knowledge in cybersecurity. The chapters in this book reflect this diversity, covering everything from theoretical foundations to practical applications.
Each selected short course corresponds to a chapter of 47 to 67 pages in this book, with content delivered by experts in person during the event. Below, we briefly present the content of these chapters.
Chapter 1, titled "Data Science Applied to Cybersecurity: Theory and Practice," explores how Data Science and Artificial Intelligence can be applied in cybersecurity. The content ranges from analyzing large volumes of data to identifying vulnerabilities and detecting intrusions. In addition to presenting fundamental concepts and methodologies, the chapter demonstrates the practical use of these techniques in national research projects such as MENTORED, encouraging collaborations between universities and research institutions in Brazil.
Chapter 2, titled "Jailbreaking Tools for Large Language Models: Machine Learning in Adversarial Context," addresses the vulnerabilities and security challenges in AI systems, focusing on Large Language Models (LLMs). It explores threats such as data poisoning and privacy breaches and discusses techniques and tools to mitigate these risks. Besides theoretical aspects, the chapter covers standards and best practices recommended by international bodies like NIST and ENISA to protect these complex systems.
Chapter 3, titled "Secure Computing Environments," particularly Trusted Execution Environments (TEEs), delves into technologies that ensure data security and privacy in interconnected environments. It covers features such as secure isolation, encryption, and resistance to attacks, as well as its application in mobile devices and operating systems. Practical examples are explored, such as the use in payment systems and biometric authentication, as well as challenges in adopting TEEs in new platforms, including RISC-V and cloud environments.
Chapter 4, titled "Forensic Analysis Applied to Bitcoin," provides a comprehensive view of forensic analysis applied to Bitcoin using machine learning techniques. It begins with a theoretical introduction to the Bitcoin ecosystem, detailing the blockchain and the challenges of pseudonymous transactions. It then covers methods for collecting and analyzing blockchain data, including the application of heuristics to track transactions in mixers and the use of OSINT to enrich the analysis. The chapter also discusses the application of machine learning models to detect illicit activities and improve the accuracy of forensic investigations.
In closing this message, we would like to express our deep gratitude to all the authors who submitted their minicourse proposals for SBSeg 2024; this incredible effort and the quality of the proposals contribute to the ongoing growth and relevance of this annual event. Special thanks to the authors of the selected minicourses, who dedicated their time and expertise to prepare 50 pages for each chapter in this book.
We also wish to express our respect and gratitude to the Program Committee members for their valuable voluntary contribution in the evaluation and selection process of the minicourses. Our thanks also go to the general coordinators of SBSeg 2024, Professors Lourenço Alves Pereira Júnior (ITA) and Diego Kreutz (UNIPAMPA), for their dedication, operational adjustments, guidance provided, and for entrusting us with coordinating the minicourse efforts for this edition.
We hope everyone enjoys the content of this book to the fullest!
Chapters
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1. Data Science Applied to Cybersecurity: Theory and Practice
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2. Jailbreaking Tools for Large Language Models – Machine Learning in Adversarial Context
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3. Secure Computing Environments
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4. Forensic Analysis applied to Bitcoin
Downloads
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