Large Language Models In Cybersecurity Threats Exposure And Mitigation


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Large Language Models in Cybersecurity


Large Language Models in Cybersecurity

Author: Andrei Kucharavy

language: en

Publisher: Springer Nature

Release Date: 2024-05-31


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This open access book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious attackers by anticipating what they could do. It also alerts LLM developers to understand their work's risks for cybersecurity and provides them with tools to mitigate those risks. The book starts in Part I with a general introduction to LLMs and their main application areas. Part II collects a description of the most salient threats LLMs represent in cybersecurity, be they as tools for cybercriminals or as novel attack surfaces if integrated into existing software. Part III focuses on attempting to forecast the exposure and the development of technologies and science underpinning LLMs, as well as macro levers available to regulators to further cybersecurity in the age of LLMs. Eventually, in Part IV, mitigation techniques that should allow safe and secure development and deployment of LLMs are presented. The book concludes with two final chapters in Part V, one speculating what a secure design and integration of LLMs from first principles would look like and the other presenting a summary of the duality of LLMs in cyber-security. This book represents the second in a series published by the Technology Monitoring (TM) team of the Cyber-Defence Campus. The first book entitled "Trends in Data Protection and Encryption Technologies" appeared in 2023. This book series provides technology and trend anticipation for government, industry, and academic decision-makers as well as technical experts.

Proceedings of the 14th International Conference on Computer Engineering and Networks


Proceedings of the 14th International Conference on Computer Engineering and Networks

Author: Guangqiang Yin

language: en

Publisher: Springer Nature

Release Date: 2025-06-16


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This conference proceedings is a collection of papers accepted for CENet2024 - the 14th International Conference on Computer Engineering and Networks, held in Kashi, China, 18-21 October 2024. The topics covered include Internet of Things and Smart Systems, Artificial Intelligence and Applications, Detection, Analysis and Application of Communication Systems, Cloud Computing and Security, and Medical Engineering and Information Systems. Each section of this book can serve as an excellent reference for industry practitioners, university faculty, research fellows, undergraduate and graduate students who wish to build a knowledge base of the latest advances and state-of-the-art practices in the topics covered. Using this knowledge, they will be able to design, implement and manage systems that are both complex and trustworthy. We would like to thank the authors for their hard work and dedication, and the reviewers for their efforts in ensuring that only the highest quality papers were selected. Without their contributions, the proceedings would not have been possible.

Information Systems


Information Systems

Author: Marinos Themistocleous

language: en

Publisher: Springer Nature

Release Date: 2025-03-01


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The two-volume set LNBIP 535 + 536 constitutes selected papers from the 21st European, Mediterranean, and Middle Eastern Conference, EMCIS 2024, which was held in Athens, Greece, during September 2-3, 2024. EMCIS covers technical, organizational, business, and social issues in the application of information technology and is dedicated to the definition and establishment of Information Systems (IS) as a discipline of high impact for IS professionals and practitioners. It focuses on approaches that facilitate the identification of innovative research of significant relevance to the IS discipline following sound research methodologies that lead to results of measurable impact. The 53 papers presented in the proceedings were carefully reviewed and selected from a total of 152 submissions. They were organized in topical sections as follows: Part I: Artificial Intelligence; Blockchain Technology and Applications; Metaverse, Immersive Technologies and Games; Smart Cities; Classical and Emerging Digital Governance – The Artificial Intelligence Era; Part II: Management Information Systems; Advanced Topics in Information Systems; Core Topics in Information Systems; Information Systems Security, Information Privacy Protection and Trust Management.