Machine Learning for Cyber Security: 4th International Conference, ML4CS 2022, Guangzhou, China, December 2-4, 2022, Proceedings, Part II

The 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, held in Guangzhou, China, had 100 full papers and 46 short papers accepted for publication in the three-volume LNCS 13655, 13656, and 13657 proceedings.

Format: Paperback / softback
Length: 625 pages
Publication date: 13 January 2023
Publisher: Springer International Publishing AG

The three-volume proceedings set LNCS 13655, 13656, and 13657 constitutes the refereed proceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which took place during December 2–4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers included in these proceedings were carefully reviewed and selected from 367 submissions.

The 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, was held in Guangzhou, China, from December 2 to 4, 2022. This conference brought together experts from around the world to discuss the latest advancements in machine learning and cyber security.

The proceedings of the conference were published in three volumes, LNCS 13655, 13656, and 13657. These proceedings included a total of 100 full papers and 46 short papers, which were carefully reviewed and selected from 367 submissions.

The papers covered a wide range of topics, including but not limited to:

Machine learning algorithms for cyber security

Cyber threat detection and classification

Cyber security risk assessment

Cyber security policy and regulation

The papers presented at ML4CS 2022 showcased the latest research and developments in the field of machine learning for cyber security. The conference provided a platform for researchers, practitioners, and industry professionals to exchange ideas, share experiences, and collaborate on finding solutions to the challenges facing the cyber security industry.

The conference also featured several keynote speeches and panel discussions, which provided insights into the current state of cyber security and the future of machine learning in this field. The speakers included renowned experts from academia, industry, and government organizations.

Overall, ML4CS 2022 was a successful event that contributed to the advancement of machine learning for cyber security. The proceedings of the conference will provide valuable insights and resources for researchers, practitioners, and industry professionals working in this field.

The 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, was held in Guangzhou, China, from December 2 to 4, 2022. This conference brought together experts from around the world to discuss the latest advancements in machine learning and cyber security.

The proceedings of the conference were published in three volumes, LNCS 13655, 13656, and 13657. These proceedings included a total of 100 full papers and 46 short papers, which were carefully reviewed and selected from 367 submissions.

The papers covered a wide range of topics, including but not limited to:

Machine learning algorithms for cyber security

Cyber threat detection and classification

Cyber security risk assessment

Cyber security policy and regulation

The papers presented at ML4CS 2022 showcased the latest research and developments in the field of machine learning for cyber security. The conference provided a platform for researchers, practitioners, and industry professionals to exchange ideas, share experiences, and collaborate on finding solutions to the challenges facing the cyber security industry.

The conference also featured several keynote speeches and panel discussions, which provided insights into the current state of cyber security and the future of machine learning in this field. The speakers included renowned experts from academia, industry, and government organizations.

Overall, ML4CS 2022 was a successful event that contributed to the advancement of machine learning for cyber security. The proceedings of the conference will provide valuable insights and resources for researchers, practitioners, and industry professionals working in this field.

Weight: 972g
Dimension: 236 x 159 x 35 (mm)
ISBN-13: 9783031200984
Edition number: 1st ed. 2023