Large Language Models in Cybersecurity
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...
Gardado en:
| Formato: | Online |
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| Idioma: | inglés |
| Publicado: |
Springer Nature
2024
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| Subjects: | |
| Acceso en liña: | ONIX_20240613_9783031548277_11 |
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| _version_ | 1869515166777868288 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-138848 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1388482025-07-18T09:46:09Z Large Language Models in Cybersecurity Kucharavy, Andrei Plancherel, Octave Mulder, Valentin Mermoud, Alain Lenders, Vincent large language models cybersecurity cyberdefense neural networks societal implications risk management LLMs thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UR Computer security thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTN Network security thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UR Computer security thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTN Network security 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. 2024-06-14T04:03:45Z 2024-06-14T04:03:45Z 2024-06-13T13:27:54Z 2024 book ONIX_20240613_9783031548277_11 https://library.oapen.org/handle/20.500.12657/90897 9783031548277 9783031548260 https://directory.doabooks.org/handle/20.500.12854/138848 eng open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/90897/1/978-3-031-54827-7.pdf Springer Nature Springer Nature Switzerland 10.1007/978-3-031-54827-7 10.1007/978-3-031-54827-7 9fa3421d-f917-4153-b9ab-fc337c396b5a 22f4125c-1639-4a10-9100-30059e2b54d5 9783031548277 9783031548260 Springer Nature Switzerland 247 Cham [...] open access |
| spellingShingle | large language models cybersecurity cyberdefense neural networks societal implications risk management LLMs thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UR Computer security thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTN Network security thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UR Computer security thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTN Network security Large Language Models in Cybersecurity |
| title | Large Language Models in Cybersecurity |
| title_full | Large Language Models in Cybersecurity |
| title_fullStr | Large Language Models in Cybersecurity |
| title_full_unstemmed | Large Language Models in Cybersecurity |
| title_short | Large Language Models in Cybersecurity |
| title_sort | large language models in cybersecurity |
| topic | large language models cybersecurity cyberdefense neural networks societal implications risk management LLMs thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UR Computer security thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTN Network security thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UR Computer security thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTN Network security |
| topic_facet | large language models cybersecurity cyberdefense neural networks societal implications risk management LLMs thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UR Computer security thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTN Network security thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UR Computer security thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTN Network security |
| url | ONIX_20240613_9783031548277_11 |